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ORCID27th ECAI 2024: Santiago de Compostela, Spain
- Ulle Endriss, Francisco S. Melo, Kerstin Bach, Alberto José Bugarín Diz, Jose Maria Alonso-Moral, Senén Barro, Fredrik Heintz:
ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024). Frontiers in Artificial Intelligence and Applications 392, IOS Press 2024, ISBN 978-1-64368-548-9 - José Hernández-Orallo:
Caveats and Solutions for Characterising General-Purpose AI. 2-9 - Maria Vanina Martinez
:
Back to the Future: Symbolic Reasoning to Combat Malicious Use of Social Media. 10-16 - Marco Montali:
AI for Declarative Processes: Representation, Mining, Synthesis. 17-24 - Ana Ozaki:
Actively Learning from Machine Learning Models with Queries and Counterexamples (Extended Abstract). 25-26 - Dominik Peters:
Proportional Representation for Artificial Intelligence. 27-31 - Roxana Radulescu:
The World is a Multi-Objective Multi-Agent System: Now What? 32-38 - Jendrik Seipp:
Dissecting Scorpion: Ablation Study of an Optimal Classical Planner. 39-42 - Tomasz Trzcinski, Bartlomiej Twardowski, Bartosz Zielinski, Kamil Adamczewski, Bartosz Wójcik:
Zero-Waste Machine Learning. 43-49 - Gregor Behnke:
Contributions to the Journal Track. 51-54 - Qifeng Zhang, Changjian Chen, Zhizhong Liu, Zhuo Tang:
I-Adapt: Using IoU Adapter to Improve Pseudo Labels in Cross-Domain Object Detection. 57-64 - Ruixiao Zhang, Yihong Wu, Juheon Lee, Xiaohao Cai, Adam Prügel-Bennett:
Detect Closer Surfaces That Can be Seen: New Modeling and Evaluation in Cross-Domain 3D Object Detection. 65-72 - Huitong Pan, Qi Zhang, Cornelia Caragea, Eduard Dragut, Longin Jan Latecki:
FlowLearn: Evaluating Large Vision-Language Models on Flowchart Understanding. 73-80 - Peizhou Huang, Zixuan Zhong, Pengjie Wang, Xiangyu Wang, Xiang Chen:
Learning A Closed-Loop Bidirectional Scale-Recurrent Network for Image Deraining. 81-88 - Mengke Li, Da Li, Guoqing Yang, Yiu-ming Cheung, Hui Huang:
Adapt PointFormer: 3D Point Cloud Analysis via Adapting 2D Visual Transformers. 89-96 - Wei Tan, Yifeng Geng, Xuansong Xie:
FMViT: A Multiple-Frequency Mixing Vision Transformer. 97-104 - Fuyi Wang, Jinzhi Ouyang, Lei Pan, Leo Yu Zhang, Xiaoning Liu, Yanping Wang, Robin Doss:
TrustMIS: Trust-Enhanced Inference Framework for Medical Image Segmentation. 105-112 - Xingyu Song, Zhan Li, Shi Chen, Xin-Qiang Cai, Kazuyuki Demachi:
An Animation-Based Augmentation Approach for Action Recognition from Discontinuous Video. 113-120 - Xingyu Song, Zhan Li, Shi Chen, Kazuyuki Demachi:
Quater-GCN: Enhancing 3D Human Pose Estimation with Orientation and Semi-Supervised Training. 121-128 - Zhiwei Lin, Hongbo Jin, Yongtao Wang, Yufei Wei, Nan Dong:
TEOcc: Radar-Camera Multi-Modal Occupancy Prediction via Temporal Enhancement. 129-136 - Zinan Lv, Dong Han, Wenzhe Wang, Danny Z. Chen:
SinLane: Siamese Visual Transformer via Pyramid Feature Integration for Lane Detection. 137-144 - Wenxi Li, Ruxin Zhang, Haozhe Lin, Yuchen Guo, Chao Ma, Xiaokang Yang:
SaccadeMOT: Enhancing Object Detection and Tracking in Gigapixel Images via Scale-Aware Density Estimation. 145-152 - Yuzhu Ji, Mingshan Sun, Yiqun Zhang, Haijun Zhang:
CPNet: 3D Semantic Relation and Geometry Context Prior Network for Multi-Organ Segmentation. 153-160 - Tianyi Xu, Yijie Zhou, Xiaotao Hu, Kai Zhang, Anran Zhang, Xingye Qiu, Jun Xu:
Task-Aware Dynamic Transformer for Efficient Arbitrary-Scale Image Super-Resolution. 161-168 - Seungyeon Choi, Sangmin Seo, Sanghyun Park:
SPIN: SE(3)-Invariant Physics Informed Network for Binding Affinity Prediction. 169-176 - Haichuan Zhao, Peng Du, Xudong Ru, Zhongke Wu, Xingce Wang:
Semantic Augmentation on Motion Manifold for Single-Stream Unsupervised Action Recognition. 177-185 - Zhuoru Li, Jian Xiao, Xiaowei Bai, Xiaodong Wang, Yingxi Li, Zhenyu Fang, Liang Xie, Ye Yan, Erwei Yin:
Complex-Valued Gabor-Attention Residual Fusion Network for Iris Recognition. 186-193 - Yihong Liu, Zishang Chen, Yukang Cui, Piji Li:
Segmentation-Driven Image Enhancement Based on Deep Reinforcement Learning. 194-201 - Shibo Jie, Zhi-Hong Deng, Shixuan Chen, Zhijuan Jin:
Convolutional Bypasses Are Better Vision Transformer Adapters. 202-209 - Xinyu Liu, Wenqiang Zhou, Zhendong Yu, Jiaming Yang, Tao Wang, Chenwei Tang, Jiancheng Lv:
BOB-YOLO: Balancing Optimization Binarized YOLO via Module-Wise Latency. 210-217 - Yujie Diao, Ruiguo Yu, Xuewei Li, Yilong Fan, Zhiqiang Liu, Mei Yu, Chenhan Wang, Jie Gao:
Pixel-wise Reclassification with Prototypes for Enhancing Weakly Supervised Semantic Segmentation. 218-225 - Lei Kang, Fei Yang, Kai Wang, Mohamed Ali Souibgui, Lluís Gómez, Alicia Fornés, Ernest Valveny, Dimosthenis Karatzas:
GRIF-DM: Generation of Rich Impression Fonts Using Diffusion Models. 226-233 - Zherui Zhang, Changwei Wang, Rongtao Xu, Wenhao Xu, Shibiao Xu, Li Guo, Jiguang Zhang, Xiaoqiang Teng, Wenbo Xu:
MIM-HD: Making Smaller Masked Autoencoder Better with Efficient Distillation. 234-241 - Yin Tang, Wei Luo, Jinrui Zhang, Wei Huang, Ruihai Jing, Deyu Zhang:
MultiCounter: Multiple Action Agnostic Repetition Counting in Untrimmed Videos. 242-249 - Pei Yu, Changhao Lai, Cong Hu, Shan Liu, Liang Zhang, Biao Fu, Yidong Chen:
Improving Non-Autoregressive Sign Language Translation with Random Ordering Progressive Prediction Pretraining. 250-257 - Ming Sun, Lihua Jing, Zixuan Zhu, Rui Wang:
MakeupAttack: Feature Space Black-Box Backdoor Attack on Face Recognition via Makeup Transfer. 258-265 - Yuzheng Tan, Guangneng Hu, Shuxin Zhang:
MAMO: Multi-Task Architecture Learning via Multi-Objective and Gradients Mediative Kernel. 266-273 - Jingyi Yang, Zitong Yu, Xiuming Ni, Jia He, Hui Li:
Generalized Face Anti-Spoofing via Finer Domain Partition and Disentangling Liveness-Irrelevant Factors. 274-281 - Mushui Liu, Bozheng Li, Yunlong Yu:
OmniCLIP: Adapting CLIP for Video Recognition with Spatial-Temporal Omni-Scale Feature Learning. 282-289 - Duy Le Dinh Anh, DKim Hoang Tran, DNgan Hoang Le:
TP-GMOT: Tracking Generic Multiple Object by Textual Prompt with Motion-Appearance Cost (MAC) SORT. 290-297 - Taehee Kim, Yeongjae Cho, Heejun Shin, Yohan Jo, Dongmyung Shin:
Generalizing Visual Question Answering from Synthetic to Human-Written Questions via a Chain of QA with a Large Language Model. 298-305 - Zhongzhen Huang, Linda Wei, Shaoting Zhang, Xiaofan Zhang:
Modality-Aware and Shift Mixer for Multi-Modal Brain Tumor Segmentation. 306-313 - Andrei Jarca, Florinel-Alin Croitoru, Radu Tudor Ionescu:
CBM: Curriculum by Masking. 314-321 - Junjie Wu, Mingjie Sun, Chen Gong, Nan Yu, Guohong Fu:
PromptCD: Coupled and Decoupled Prompt Learning for Vision-Language Models. 322-329 - Shijie Li, Yunbin Tu, Yu Gong, Bowen Zhong, Zheng Li:
Dual Attention Encoder with Joint Preservation for Medical Image Segmentation. 330-337 - Jing Zhou, Chengcheng Guo, Ying Ji:
RFDFM: A Deep Factorization Machine Network Model for Invasive Lung Adenocarcinoma Screening in CT Images. 338-345 - Zhenhang Li, Yan Shu, Weichao Zeng, Dongbao Yang, Yu Zhou:
First Creating Backgrounds Then Rendering Texts: A New Paradigm for Visual Text Blending. 346-353 - Kunzi Xie, Ruoyu Guo, Cong Cong, Maurice Pagnucco, Yang Song:
Domain Generalised Cell Nuclei Segmentation in Histopathology Images Using Domain-Aware Curriculum Learning and Colour-Perceived Meta Learning. 354-361 - Jiahe Chen, Jiahe Ying, Shen Wang, Jianwei Zheng:
Decoupled Competitive Framework for Semi-Supervised Medical Image Segmentation. 362-369 - Bingfeng Zhang, Siyue Yu, Xuru Gao, Mingjie Sun, Eng Gee Lim, Jimin Xiao:
Adversarial Erasing Transformer for Weakly Supervised Semantic Segmentation. 370-377 - Hui Ding:
Sinogram-Image Dual-Domain Network for Robust Metal Artifact Reduction in CT Image. 378-385 - Teng Zhou, Yongchuan Tang:
TwinDiffusion: Enhancing Coherence and Efficiency in Panoramic Image Generation with Diffusion Models. 386-393 - Rakhoon Hwang, Seungtae Park, Hyung Ju Hwang:
Solving PDEs on Point Clouds by Physics-Informed Learning with Graph Neural Networks. 394-402 - Chen Wang, Yafei Qi, Qi Li, Huawen Liu:
LGAD: Local and Global Attention Distillation for Efficient Semantic Segmentation. 403-410 - Yongzhu Miao, Jintao Tang, Shasha Li, Ting Wang:
MPT4LM: Multi-Modal Prompt Tuning Makes Pre-Trained Large Language Models Better Vision-Language Learners. 411-418 - Wuti Xiong, Guoying Zhao, Xiaobai Li:
Exemplar-Free Incremental Deepfake Detection. 419-426 - Wenkang Fan, Wenjing Jiang, Hao Fang, Hong Shi, Jianhua Chen, Xiongbiao Luo:
DCTAN: Densely Convolved Transformer Aggregation Networks for Monocular Dense Depth Prediction in Robotic Endoscopy. 427-434 - Jinghuai Jie, Yan Guo, Guixing Wu, Junmin Wu, Baojian Hua:
EdgeNAT: Transformer for Efficient Edge Detection. 435-442 - Zheng Wang, Xiankang He, Kaiyang Lan, Ying Cui, Dongyan Guo:
TDCL: Dense Semantic Contrastive Learning for Vision-Language Tracking. 443-450 - Hongbo Zhu, Theodor Wulff, Rahul Singh Maharjan, Jinpei Han, Angelo Cangelosi:
Noise-Free Explanation for Driving Action Prediction. 451-458 - Salah-eddine Laidoudi, Madjid Maidi, Samir Otmane:
Real-Time Indoor Object Detection Based on Hybrid CNN-Transformer Approach. 459-466 - Zheyu Zhang, Xinzhao Liu, Zheng Chen, Yueyi Zhang, Huanjing Yue, Yunwei Ou, Xiaoyan Sun:
Anatomical Consistency Distillation and Inconsistency Synthesis for Brain Tumor Segmentation with Missing Modalities. 467-474 - Guangyu Li, Hai Cao, Houjun Wang, Weili Guo, Chen Gong:
MFF-YOLO: Multi-scale Feature Fusion Network for Small Ship Detection in Night Scenes. 475-481 - Kun Hu, Qingle Zhang, Maoxun Yuan, Yitian Zhang:
SFDFusion: An Efficient Spatial-Frequency Domain Fusion Network for Infrared and Visible Image Fusion. 482-489 - Xiao Guo, Hangfei Li, Yufei Zha, Peng Zhang:
Unidirectional Cross-Modal Fusion for RGB-T Tracking. 490-497 - Shengjia Zhang:
Crafting Lifelike Avatars: Model Compression and Advanced Rendering Techniques. 498-504 - Xiang Ying, Jizhe Zhang, Jie Gao, Mei Yu, Ruixuan Zhang, Jialin Zhu, Xuewei Li, Ruiguo Yu:
Uncertainty-Guided Dual Task Framework for Semi-Supervised Segmentation of Thyroid Nodules. 505-512 - Wenxiang Jiang, Hanwei Zhang, Shuo Zhao, Zhongwen Guo, Hao Wang:
IPA-NeRF: Illusory Poisoning Attack Against Neural Radiance Fields. 513-520 - Julian Spravil, Sebastian Houben, Sven Behnke:
HyenaPixel: Global Image Context with Convolutions. 521-528 - Jan Rodziewicz-Bielewicz, Marcin Korzen:
Sparse Convolutional Neural Network for Localization and Orientation Prediction and Application to Drone Control. 529-536 - Ziyang Xu, Huangxuan Zhao, Ziwei Cui, Wenyu Liu, Chuansheng Zheng, Xinggang Wang:
MoSt-DSA: Modeling Motion and Structural Interactions for Direct Multi-Frame Interpolation in DSA Images. 537-544 - Wei Zhu, Yicheng Liu, Yuping He, Tangfei Liao, Kang Zheng, Xiaoqiu Xu, Tao Wang, Tong Lu:
CorrAdaptor: Adaptive Local Context Learning for Correspondence Pruning. 545-552 - Yushe Cao, Siwen Jiao, Penghao Sun, Baoyun Peng, Dianxi Shi, Yuanchun Shi:
MEFusion: Unsupervised Mutual Enhancement for Multimodal Image Fusion. 553-560 - Haichuan Zhao, Xudong Ru, Peng Du, Shaolong Liu, Na Liu, Xingce Wang, Zhongke Wu:
High-Quality Human Motion Prediction Using Size Invariant Motion Space. 561-568 - Tong Wu, Yanbin Liu, Sira Yongchareon:
Class-Aware Sample Weight Learning for Cross-Modal Unsupervised Domain Adaptation in Cross-User Wearable Human Activity Recognition. 569-576 - Chenglong Liu, Jintao Liu, Haorao Wei, Jinze Yang, Liangyu Xu, Yuchen Guo, Lu Fang:
Detecting Objects as Cascade Corners. 577-584 - Fangyuan Zhang, Tianxiang Pan, Yu-Wing Tai, Bin Wang:
Boundary-Enhanced Instance Segmentation. 585-592 - Zhi Feng, C. L. Philip Chen, Shiting Xu, Tong Zhang:
Spatial and Frequency-Based Feature Reconstruction for Cross-Database Micro-Expression Recognition. 593-600 - Jihui Lee, Quoc-Vinh Lai-Dang, Neha Sengar, Dongsoo Har:
Robust Monocular Depth Estimation in Adverse Weather Conditions by Unsupervised Domain Adaptation. 601-608 - Edgar Heinert, Matthias Rottmann, Kira Maag, Karsten Kahl:
Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion. 609-617 - Jinjin Xu, Liwu Xu, Yuzhe Yang, Xiang Li, Fanyi Wang, Yanchun Xie, Yi-Jie Huang, Yaqian Li:
u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model. 618-625 - Afnan Althoupety, Li-Yun Wang, Wu-Chi Feng, Banafsheh Rekabdar:
Night-to-Day: Unpaired Image-to-Image Translation for Nighttime Pedestrian Detection. 626-633 - Xiangyu Li, Yunchuan Qin, Ruihui Li, Guanghua Tan, Zhuo Tang, Kenli Li:
MC-SORT: A Motion Correction-Based Framework for Long-Term Multiple Object Tracking. 634-641 - Xiao Chen, Qihui Zhang, Yan Wang:
Cliff: Leveraging Ambiguous Samples for Enhanced Test-Time Adaptation. 642-649 - Zoya Volovikova, Alexey Skrynnik, Petr Kuderov, Aleksandr I. Panov:
Instruction Following with Goal-Conditioned Reinforcement Learning in Virtual Environments. 650-657 - Ruxandra Barbulescu, Tiago Marques, Arlindo L. Oliveira:
Contribution of V1 Receptive Field Properties to Corruption Robustness in CNNs. 658-665 - Boyu Wang, Yue Ma, Qinru Qiu:
Prompt-Based Domain Incremental Learning with Modular Classification Layer. 666-672 - Haotian Liu, Chenhui Pan, Yang Liu, Guoying Zhao, Xiaobai Li:
Unified Video and Image Representation for Boosted Video Face Forgery Detection. 673-680 - Nam Quan Nguyen, Xuan Phong Pham, Tuan Anh Tran:
RTSR: A Real-Time Table Structure Recognition Approach. 681-687 - Álvaro S. Hervella, José Rouco, Jorge Novo, Clara I. Sánchez, Marcos Ortega:
Recurrent Task Specialization Network for Segmentation-aided Vascular Landmarks Detection in Retinal Images. 688-695 - Mahisha Ramesh, Astha Verma, Rajiv Ratn Shah, Roger Zimmermann, Shin'ichi Satoh:
Unveiling Learner Dynamics: The ECLIPSE Dataset and NeuralGaze Framework for Prolonged Engagement Assessment in Online Learning. 696-703 - Zhihang Liu, Qiang Huang, Yingying Zhu:
CLIP-based Cross-Level Semantic Interaction and Recombination Network for Composed Image Retrieval. 704-711 - Harry H. Beyel, Sovin Manuel, Wil M. P. van der Aalst:
ActivityGen: Extracting Enabled Activities from Screenshots. 712-720 - Zijia Wang, Zhi-Song Liu:
StyleMamba: State Space Model for Efficient Text-Driven Image Style Transfer. 721-728 - Ali Abdollahi, Mahdi Ghaznavi, Mohammad Reza Karimi Nejad, Arash Mari Oriyad, Reza Abbasi, Ali Salesi, Melika Behjati, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah:
GABInsight: Exploring Gender-Activity Binding Bias in Vision-Language Models. 729-736 - Ayan Banerjee, Sandeep K. S. Gupta:
Recovering Implicit Physics Model Under Real-World Constraints. 737-744 - Chihan Huang:
Progressive Artistic Aesthetic Enhancement For Chinese Ink Painting Style Transfer. 745-752 - Yuhui Wang, Bo Peng, Tianyi Qin, Jiahui Song, Xu Zhang:
Few-Shot Object Detection with Instance Feature Generation and Hybrid Contrastive Learning. 753-760 - Xiang Gu, Shuchao Pang, Anan Du, Yifei Wang, Jixiang Miao, Jorge Díez:
Dynamic Multimodal Prompt Tuning: Boost Few-Shot Learning with VLM-Guided Point Cloud Models. 761-768 - Leila Amgoud, Martin C. Cooper, Salim Debbaoui:
Axiomatic Characterisations of Sample-based Explainers. 770-777 - Preston K. Robinette, Daniel Moyer, Taylor T. Johnson:
Sanitizing Hidden Information with Diffusion Models. 778-785 - Léo Saulières, Martin C. Cooper, Florence Dupin de Saint-Cyr:
Backward Explanations via Redefinition of Predicates. 786-793 - Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci:
Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule. 794-801 - Piotr Wilczynski, Wiktoria Mieleszczenko-Kowszewicz, Przemyslaw Biecek:
Resistance Against Manipulative AI: Key Factors and Possible Actions. 802-809 - Zizhuo Meng, Boyu Li, Xuhui Fan, Zhidong Li, Yang Wang, Fang Chen, Feng Zhou:
TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes. 810-817 - Guy Amir, Shahaf Bassan, Guy Katz:
Hard to Explain: On the Computational Hardness of In-Distribution Model Interpretation. 818-825 - Francesco Sovrano, Giulia Vilone:
Aligning XAI with EU Regulations for Smart Biomedical Devices: A Methodology for Compliance Analysis. 826-833 - Roberto Pagliari, Peter Hill, Po-Yu Chen, Maciej Dabrowny, Tingsheng Tan, Francois Buet-Golfouse:
A Comprehensive Sustainable Framework for Machine Learning and Artificial Intelligence. 834-841 - Lingfeng Zhang, Min Zhang:
Making Fair Classification via Correlation Alignment. 842-849 - Thao Le, Tim Miller, Liz Sonenberg, Ronal Singh:
Towards the New XAI: A Hypothesis-Driven Approach to Decision Support Using Evidence. 850-857 - Yang Qiu, Wei Liu, Jun Wang, Ruixuan Li:
PAGE: Parametric Generative Explainer for Graph Neural Network. 858-865 - Matteo Bortoletto, Constantin Ruhdorfer, Lei Shi, Andreas Bulling:
Explicit Modelling of Theory of Mind for Belief Prediction in Nonverbal Social Interactions. 866-873 - Aðalsteinn Pálsson, Yngvi Björnsson:
Empirical Evaluation of Concept Probing for Game-Playing Agents. 874-881 - Manh Khoi Duong, Stefan Conrad:
(Un)certainty of (Un)fairness: Preference-Based Selection of Certainly Fair Decision-Makers. 882-889 - Pirmin Lemberger, Antoine Saillenfest:
Explaining Text Classifiers with Counterfactual Representations. 890-897 - Shuhao Guan, Derek Greene:
Synthetically Augmented Self-Supervised Fine-Tuning for Diverse Text OCR Correction. 898-905 - Zichong Wang, Wenbin Zhang:
Group Fairness with Individual and Censorship Constraints. 906-913 - Alessio Ragno, Marc Plantevit, Céline Robardet, Roberto Capobianco:
Transparent Explainable Logic Layers. 914-921 - Yun Jang:
Time Series Imputation with Multivariate Radial Basis Function Neural Network. 922-929 - Bingshuai Liu, Longyue Wang, Chenyang Lyu, Yong Zhang, Jinsong Su, Shuming Shi, Zhaopeng Tu:
On the Cultural Gap in Text-to-Image Generation. 930-937 - Suryani Lim, Henri Prade, Gilles Richard:
Analogical Classifier as a Surrogate for Explanations. 938-945 - Pranavkumar Mallela, Vinay Kumar, Shashi Shekhar Jha, Shweta Jain:
PLACO: A Multi-Stage Framework for Cost-Effective Performance in Human-AI Teams. 946-953 - Patryk Wielopolski, Oleksii Furman, Jerzy Stefanowski, Maciej Zieba:
Probabilistically Plausible Counterfactual Explanations with Normalizing Flows. 954-961 - Nurit Cohen-Inger, Guy Rozenblatt, Seffi Cohen, Lior Rokach, Bracha Shapira:
FairUS - UpSampling Optimized Method for Boosting Fairness. 962-970 - Santiago Cifuentes, Leopoldo E. Bertossi, Nina Pardal, Sergio Abriola, Maria Vanina Martinez, Miguel Romero:
The Distributional Uncertainty of the SHAP Score in Explainable Machine Learning. 971-978 - Hénoïk Willot, Khaled Belahcène, Sébastien Destercke:
Principled Explanations for Robust Redistributive Decisions. 979-986 - Martina Mattioli, Antonio Emanuele Cinà, Marcello Pelillo:
Understanding XAI Through the Philosopher's Lens: A Historical Perspective. 987-994 - Harsh Kasyap, Ugur-Ilker Atmaca, Michela Iezzi, Toby Walsh, Carsten Maple:
Mitigating Bias: Model Pruning for Enhanced Model Fairness and Efficiency. 995-1002 - Inês Oliveira e Silva, Sérgio M. Jesus, Hugo M. Ferreira, Pedro Saleiro, Inês Sousa, Pedro Bizarro, Carlos Soares:
Fair-OBNC: Correcting Label Noise for Fairer Datasets. 1003-1010 - Ryuta Matsuno:
Backward Compatibility in Attributive Explanation and Enhanced Model Training Method. 1011-1018 - Adda-Akram Bendoukha, Nesrine Kaaniche, Aymen Boudguiga, Renaud Sirdey:
FairCognizer: A Model for Accurate Predictions with Inherent Fairness Evaluation. 1019-1026 - Xin Xu, Zhouchen Lin:
MixCon: A Hybrid Architecture for Efficient and Adaptive Sequence Modeling. 1027-1034 - Omar Naim, Nicholas Asher:
On Explaining with Attention Matrices. 1035-1042 - Xin Mu, Yu Wang, Yehong Zhang, Jiaqi Zhang, Hui Wang, Yang Xiang, Yue Yu:
Model Provenance via Model DNA. 1043-1050 - Elena Umili, Roberto Capobianco:
DeepDFA: Automata Learning through Neural Probabilistic Relaxations. 1051-1058 - Luca Marzari, Francesco Leofante, Ferdinando Cicalese, Alessandro Farinelli:
Rigorous Probabilistic Guarantees for Robust Counterfactual Explanations. 1059-1066 - Alexia Gaudeul, Vicky Charisi, Marina Escobar-Planas, Isabelle Hupont:
Understanding the Impact of Human Oversight on Discriminatory Outcomes in AI-Supported Decision-Making. 1067-1074 - Gilles Audemard, Sylvie Coste-Marquis, Pierre Marquis, Mehdi Sabiri, Nicolas Szczepanski:
Designing an XAI Interface for Tree-Based ML Models. 1075-1082 - Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis:
On the Computation of Contrastive Explanations for Boosted Regression Trees. 1083-1091 - Yacine Izza, Kuldeep S. Meel, João Marques-Silva:
Locally-Minimal Probabilistic Explanations. 1092-1099 - Frederic T. Stahl, Marius Lindauer:
Hyperparameter Importance Analysis for Multi-Objective AutoML. 1100-1107 - Seham Nasr, Sandipan Sikdar:
IndMask: Inductive Explanation for Multivariate Time Series Black-Box Models. 1108-1115 - Martijn de Vos, Akash Dhasade, Jade Garcia Bourrée, Anne-Marie Kermarrec, Erwan Le Merrer, Benoît Rottembourg, Gilles Trédan:
Fairness Auditing with Multi-Agent Collaboration. 1116-1123 - Paul-Gauthier Noé, Miquel Perelló-Nieto, Jean-François Bonastre, Peter A. Flach:
Explaining a Probabilistic Prediction on the Simplex with Shapley Compositions. 1124-1131 - Manuel R. Torres, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso:
Temporal Fairness in Decision Making Problems. 1132-1139 - Subrat Prasad Panda, Blaise Genest, Arvind Easwaran, Ponnuthurai Nagaratnam Suganthan:
Vanilla Gradient Descent for Oblique Decision Trees. 1140-1147 - Dimitry Mindlin, Amelie Sophie Robrecht, Michael Morasch, Philipp Cimiano:
Measuring User Understanding in Dialogue-Based xAI Systems. 1148-1155 - Charlie Street, Masoumeh Mansouri:
Covered for Life: Lifelong Area Coverage under Spatiotemporal Uncertainty. 1157-1164 - Jin Zhao, Jian Xie, Tinghui Zhu, Qian Guo, Zhixu Li, Yanghua Xiao:
Empowering Biomedical Named Entity Recognition through Multi-Tagger Collaboration. 1165-1172 - Taoyu Su, Xinghua Zhang, Jiawei Sheng, Zhenyu Zhang, Tingwen Liu:
LoginMEA: Local-to-Global Interaction Network for Multi-Modal Entity Alignment. 1173-1180 - Giovanni Varricchione, Natasha Alechina, Mehdi Dastani, Brian Logan:
Maximally Permissive Reward Machines. 1181-1188 - Chaahat Jain, Lorenzo Cascioli, Laurens Devos, Marcel Vinzent, Marcel Steinmetz, Jesse Davis, Jörg Hoffmann:
Safety Verification of Tree-Ensemble Policies via Predicate Abstraction. 1189-1197 - Xi Yan, Patrick Westphal, Jan Seliger, Ricardo Usbeck:
Bridging the Gap: Generating a Comprehensive Biomedical Knowledge Graph Question Answering Dataset. 1198-1205 - Stéphane Demri, Przemyslaw Andrzej Walega:
Computational Complexity of Standpoint LTL. 1206-1213 - Alex Stephens, Bruno Lacerda, Nick Hawes:
Hierarchical Planning for Resource-Constrained Long-Term Monitoring Missions in Time-Varying Environments. 1214-1221 - Thorsten Klößner, Álvaro Torralba, Marcel Steinmetz, Silvan Sievers:
Merge-and-Shrink Heuristics for SSPs with Prune Transformations. 1222-1229 - Nadia Creignou, Raïda Ktari, Odile Papini:
Belief Erasure in Propositional Logic. 1230-1237 - Mutahira Khalid, Sören Auer, Markus Stocker:
A Neuro-symbolic Approach for Faceted Search in Digital Libraries. 1238-1245 - Ronit Bustin, Claudia V. Goldman:
Structure and Reduction of MCTS for Explainable-AI. 1246-1253 - Marco Faella, Gennaro Parlato:
A Unified Automata-Theoretic Approach to LTLf Modulo Theories. 1254-1261 - Luigi Bonassi, Giuseppe De Giacomo, Alfonso Emilio Gerevini, Enrico Scala:
Shielded FOND: Planning with Safety Constraints in Pure-Past Linear Temporal Logic. 1262-1269 - Andreas Herzig, Emiliano Lorini, Henri Prade:
A Novel View of Analogical Proportion Between Formulas. 1270-1277 - Gabriel de Senne Amorim, Marlo Souza, Álvaro Freitas Moreira:
Modelling Diffusion of Dependent and Conflicting Behaviours with Dynamic Logic. 1278-1284 - Gioacchino Sterlicchio, Francesca Alessandra Lisi:
Detecting Patterns of Attacks to Network Security in Urban Air Mobility with Answer Set Programming. 1285-1292 - Louis Mozart Kamdem Teyou, Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Embedding Knowledge Graphs in Degenerate Clifford Algebras. 1293-1300 - Akihiro Takemura, Katsumi Inoue:
Differentiable Logic Programming for Distant Supervision. 1301-1308 - Florence Dupin de Saint-Cyr, Pierre Bisquert:
The Form and the Content: Non-Monotonic Reasoning with Syntactic Contextual Filtering. 1309-1316 - Maolong Yin, Bin Guo, Zhuo Sun, Lei Wu, Zhaotie Hao, Zhiwen Yu:
CAMAOT: Channel-Aware Multi-Camera Active Object Tracking System. 1317-1324 - Guillermo Infante, Anders Jonsson, Vicenç Gómez:
Hierarchical Average-Reward Linearly-Solvable Markov Decision Processes. 1325-1332 - Marta Contreiras Silva, Daniel Faria, Catia Pesquita:
Complex Multi-Ontology Alignment Through Geometric Operations on Language Embeddings. 1333-1340 - Matteo Zavatteri, Davide Bresolin, Nicolò Navarin:
Automated Synthesis of Certified Neural Networks. 1341-1348 - Victor Verreet, Lennert De Smet, Luc De Raedt, Emanuele Sansone:
EXPLAIN, AGREE, LEARN: Scaling Learning for Neural Probabilistic Logic. 1349-1356 - Gregory Hyde, Eugene Santos Jr.:
Detecting Hidden Triggers: Mapping Non-Markov Reward Functions to Markov. 1357-1364 - Mengwei Xu, Tom Lumley, Ramon Fraga Pereira, Felipe Meneguzzi:
A Practical Operational Semantics for Classical Planning in BDI Agents. 1365-1372 - Gabriel Paludo Licks, Fabio Patrizi, Giuseppe De Giacomo:
Monte Carlo Tree Search with State Merging for Reinforcement Learning in Regular Decision Processes. 1373-1380 - Gaia Saveri, Laura Nenzi, Luca Bortolussi, Jan Kretínský:
stl2vec: Semantic and Interpretable Vector Representation of Temporal Logic. 1381-1388 - Jieying Chen, Hang Dong, Jiaoyan Chen, Ian Horrocks:
Ontology Text Alignment: Aligning Textual Content to Terminological Axioms. 1389-1396 - Matthew Low, Timothy E. Wang, Pierluigi Nuzzo:
Learning Compositional, Time-Varying Neural Barrier Contracts. 1397-1404 - Lorenzo Ceragioli, Pierpaolo Degano, Letterio Galletta, Luca Viganò:
A Logic for Policy Based Resource Exchanges in Multiagent Systems. 1405-1412 - Zhongliang Guo, Junhao Dong, Yifei Qian, Kaixuan Wang, Weiye Li, Ziheng Guo, Yuheng Wang, Yanli Li, Ognjen Arandjelovic, Lei Fang:
Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack. 1414-1421 - Yanyun Wang, Dehui Du, Haibo Hu, Zi Liang, Yuanhao Liu:
TSFool: Crafting Highly-Imperceptible Adversarial Time Series Through Multi-Objective Attack. 1422-1429 - Ziang Yang, Biyu Zhou, Xuehai Tang, Ruixuan Li, Songlin Hu:
Breaking the Weak Semantics Bottleneck of Transformers in Time Series Forecasting. 1430-1437 - Marcin Podhajski, Jan Dubinski, Franziska Boenisch, Adam Dziedzic, Agnieszka Pregowska, Tomasz P. Michalak:
Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks. 1438-1445 - Adaku Uchendu, Thai Le, Dongwon Lee:
TopFormer: Topology-Aware Authorship Attribution of Deepfake Texts with Diverse Writing Styles. 1446-1454 - Huiling Qin, Xianyuan Zhan, Yuanxun Li, Yu Zheng:
FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning. 1455-1462 - Yuzhou Yang, Yangming Zhou, Qichao Ying, Zhenxing Qian, Xinpeng Zhang:
Search, Examine and Early-Termination: Fake News Detection with Annotation-Free Evidences. 1463-1470 - Yiran Xu, Nan Zhong, Zhenxing Qian, Xinpeng Zhang:
Revocable Backdoor for Deep Model Trading. 1471-1478 - Xueyi Li, Youheng Bai, Teng Guo, Ying Zheng, Mingliang Hou, Bojun Zhan, Yaying Huang, Zitao Liu, Boyu Gao, Weiqi Luo:
Extending Context Window of Attention Based Knowledge Tracing Models via Length Extrapolation. 1479-1486 - Xiangyu Zhao, Zehui Li, Mingzhu Shen, Guy-Bart Stan, Pietro Liò, Yiren Zhao:
Enhancing Node Representations for Real-World Complex Networks with Topological Augmentation. 1487-1494 - Xuehan Zhao, Jiaqi Liu, Yao Zhang, Zhiwen Yu, Bin Guo:
HAIformer: Human-AI Collaboration Framework for Disease Diagnosis via Doctor-Enhanced Transformer. 1495-1502 - Mari-Liis Allikivi, Joonas Järve, Meelis Kull:
Cautious Calibration in Binary Classification. 1503-1510 - Edward Pearce-Crump:
Connecting Permutation Equivariant Neural Networks and Partition Diagrams. 1511-1518 - Lihi Dery:
Interactive and Iterative Peer Assessment. 1519-1526 - Robin Ghyselinck, Valentin Delchevalerie, Pierre Poitier, Benoît Frénay, Bruno Dumas:
Deep Learning for in vivo Bronchial Carinae Detection in Flexible Bronchoscopy. 1527-1534 - Viacheslav Komisarenko, Meelis Kull:
Improving Calibration by Relating Focal Loss, Temperature Scaling, and Properness. 1535-1542 - Yujie Zhou, Haigen Hu, Qianwei Zhou, Qiu Guan, Mingfeng Jiang:
Rethinking Domain Generalization from Perspective of Gradient Granularity. 1543-1550 - Nathan Gavenski, Juarez Monteiro, Felipe Meneguzzi, Michael Luck, Odinaldo Rodrigues:
Explorative Imitation Learning: A Path Signature Approach for Continuous Environments. 1551-1558 - Yousef Younes, Lukas Galke, Ansgar Scherp:
RADAr: A Transformer-Based Autoregressive Decoder Architecture for Hierarchical Text Classification. 1559-1566 - Guitao Chen, Yunshen Wang, Hongye Sun, Guang Chen:
WPN: An Unlearning Method Based on N-pair Contrastive Learning in Language Models. 1567-1574 - Jakub Adamczyk, Wojciech Czech:
Molecular Topological Profile (MOLTOP) - Simple and Strong Baseline for Molecular Graph Classification. 1575-1582 - Junyi Bian, Weiqi Zhai, Xiaodi Huang, Jiaxuan Zheng, Shanfeng Zhu:
VANER: Leveraging Large Language Model for Versatile and Adaptive Biomedical Named Entity Recognition. 1583-1590 - Dmitrii Korzh, Mikhail Pautov, Olga Tsymboi, Ivan V. Oseledets:
General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized Smoothing. 1591-1598 - Jinke He, Thomas M. Moerland, Joery A. de Vries, Frans A. Oliehoek:
What Model Does MuZero Learn? 1599-1606 - Moshe Eliasof, Davide Murari, Ferdia Sherry, Carola-Bibiane Schönlieb:
Resilient Graph Neural Networks: A Coupled Dynamical Systems Approach. 1607-1614 - Qiuyu Liang, Weihua Wang, Feilong Bao, Guanglai Gao:
Fully Hyperbolic Rotation for Knowledge Graph Embedding. 1615-1622 - Seungyeon Choi, Sangmin Seo, Jonghwan Choi, Chihyun Park, Sanghyun Park:
DrDiff: Drug Response Prediction Through Controllable Diffusion-GE and Graph Attention Network. 1623-1630 - Yue Xu, Chuanming Wang, Xiaolong Zheng, Yi Huang, Peilun Du, Zeyuan Zhou, Liang Liu, Huadong Ma:
CSAdv: Class-Specific Adversarial Patches for DETR-Style Object Detection. 1631-1638 - Luca Corbucci, Mikko A. Heikkilä, David Solans Noguero, Anna Monreale, Nicolas Kourtellis:
PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning. 1639-1647 - Motaz Ben Hassine, Saïd Jabbour, Mourad Kmimech, Badran Raddaoui, Mohamed Graiet:
On the Discovery of Conceptual Clustering Models Through Pattern Mining. 1648-1655 - JaeEun Nam, Ilias Chalkidis, Mina Rezaei:
Hyperbolic Contrastive Learning for Document Representations - A Multi-View Approach with Paragraph-level Similarities. 1656-1663 - Xu Yan, Lei Geng, Ziqiang Cao, Juntao Li, Wenjie Li, Sujian Li, Xinjie Zhou, Yang Yang, Jun Zhang:
TabMedBERT: A Tabular Knowledge Enhanced Biomedical Pretrained Language Model. 1664-1671 - Pawel Teisseyre, Konrad Furmanczyk, Jan Mielniczuk:
Verifying the Selected Completely at Random Assumption in Positive-Unlabeled Learning. 1672-1679 - Ernst Moritz Hahn, Mateo Perez, Sven Schewe, Fabio Somenzi, Ashutosh Trivedi, Dominik Wojtczak:
Multi-Agent Reinforcement Learning for Alternating-Time Logic. 1680-1687 - Md Atik Ahamed, Qiang Shawn Cheng:
TimeMachine: A Time Series is Worth 4 Mambas for Long-Term Forecasting. 1688-1695 - Jun Xie, Xiaohui Song, Yangjie Cao, Zhi Liu, Weiping Wang, Hongli Xu:
JOSAL: Joint Learning Framework for Open-Set Active Learning. 1696-1703 - Zichong Wang, David Ulloa, Tongjia Yu, Raju Rangaswami, Roland Yap, Wenbin Zhang:
Individual Fairness with Group Constraints in Graph Neural Networks. 1704-1711 - Christophe Gonzales, Amir-Hosein Valizadeh:
A Full DAG Score-Based Algorithm for Learning Causal Bayesian Networks with Latent Confounders. 1712-1719 - Yichu Xu, Xin-Chun Li, Le Gan, De-Chuan Zhan:
Weight Scope Alignment: A Frustratingly Easy Method for Model Merging. 1720-1727 - Amin Aminifar, Baichuan Huang, Azra Abtahi, Amir Aminifar:
LightFF: Lightweight Inference for Forward-Forward Algorithm. 1728-1735 - Pedro Mendes, Paolo Romano, David Garlan:
Error-Driven Uncertainty Aware Training. 1736-1743 - Aoyang Zhou, Yasmeen M. Khedr, Xin Liu, Kun He:
Sampling-Based Teacher Guided Method to Boost Transferable Attack on SAR Image Classification. 1744-1751 - Chong Zhang, Mingyu Jin, Dong Shu, Taowen Wang, Dongfang Liu, Xiaobo Jin:
Target-driven Attack for Large Language Models. 1752-1759 - Chao Feng, Alberto Huertas Celdrán, Janosch Baltensperger, Enrique Tomás Martínez Beltrán, Pedro Miguel Sánchez Sánchez, Gérôme Bovet, Burkhard Stiller:
Sentinel: An Aggregation Function to Secure Decentralized Federated Learning. 1760-1767 - Boyu Du, Jingya Zhou, Ling Liu, Xiaolong She:
FL-GNN: Efficient Fusion of Fuzzy Neural Network and Graph Neural Network. 1768-1775 - Matthew Clifford, Jonathan Erskine, Alexander Hepburn, Raúl Santos-Rodríguez, Dario García-García:
Learning Confidence Bounds for Classification with Imbalanced Data. 1776-1783 - Fangshi Zhou, Tianming Zhao, Luan Viet Nguyen, Zhongmei Yao:
A Parallel Gumbel-Softmax VAE Framework with Performance-Based Tuning. 1784-1791 - Dorota Celinska-Kopczynska, Eryk Kopczynski:
Modelling Brain Connectomes Networks: Solv is a Worthy Competitor to Hyperbolic Geometry! 1792-1799 - Zijun Long, Lipeng Zhuang, George Killick, Zaiqiao Meng, Richard McCreadie, Gerardo Aragon-Camarasa:
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion. 1800-1807 - Chaoxi Niu, Guansong Pang, Ling Chen:
Graph Continual Learning with Debiased Lossless Memory Replay. 1808-1815 - Shun Li, Xiao Su, Bing Shi:
A Multi-Agent Reinforcement Learning Algorithm Embedded with Opponent Modeling. 1816-1823 - Zhongjian Qiao, Jiafei Lyu, Xiu Li:
Mind the Model, Not the Agent: The Primacy Bias in Model-Based RL. 1824-1831 - Dominik Hintersdorf, Lukas Struppek, Daniel Neider, Kristian Kersting:
Defending Our Privacy with Backdoors. 1832-1839 - Jérôme Arjonilla, Abdallah Saffidine, Tristan Cazenave:
Enhancing Reinforcement Learning Through Guided Search. 1840-1847 - Amr Alkhatib, Sofiane Ennadir, Henrik Boström, Michalis Vazirgiannis:
Interpretable Graph Neural Networks for Tabular Data. 1848-1855 - Ziwei Zhang, Juan Wen, Yiming Xue:
Domain Adaptational Steganographic Text Detection Using Few-Shot Adversary-Refinement Framework. 1856-1863 - Yili Wang, Jiamin Chen, Qiutong Li, Changlong He, Jianliang Gao:
Relation Time-Aware Heterogeneous Dynamic Graph Neural Networks. 1864-1871 - Weiming Li, Manni Duan, Dong An, Yan Shao:
Large Language Models Understand Layout. 1872-1879 - Shivam Gupta, Shweta Jain, Narayanan C. Krishnan, Ganesh Ghalme, Nandyala Hemachandra:
Capacitated Online Clustering Algorithm. 1880-1887 - Andrea Augello, Ashish Gupta, Giuseppe Lo Re, Sajal K. Das:
Tackling Selfish Clients in Federated Learning. 1888-1895 - Matej Cief, Branislav Kveton, Michal Kompan:
Pessimistic Off-Policy Optimization for Learning to Rank. 1896-1903 - Marco Wagenstetter, Niklas Landerer, Johannes Thyroff, Thomas Aicher, Arvid Hellmich, Steffen Ihlenfeldt:
Memory Adaptive and Spatially Specialized Model Ensembles for Industrial Anomaly Detection. 1904-1910 - Aritra Pal, Anandsingh Chauhan, Mayank Baranwal, Ankush Ojha:
Optimizing Multi-Robot Task Allocation in Dynamic Environments via Heuristic-Guided Reinforcement Learning. 1911-1918 - Erik B. Terres-Escudero, Javier Del Ser, Pablo García Bringas:
On the Improvement of Generalization and Stability of Forward-Only Learning via Neural Polarization. 1919-1926 - Jonathan Pirnay, Dominik G. Grimm:
Take a Step and Reconsider: Sequence Decoding for Self-Improved Neural Combinatorial Optimization. 1927-1934 - Duanyu Li, Huijun Wu, Min Xie, Xugang Wu, Zhenwei Wu, Wenzhe Zhang:
Talos: A More Effective and Efficient Adversarial Defense for GNN Models Based on the Global Homophily of Graphs. 1935-1942 - Mingjie Zhao, Sen Feng, Yiqun Zhang, Mengke Li, Yang Lu, Yiu-Ming Cheung:
Learning Order Forest for Qualitative-Attribute Data Clustering. 1943-1950 - Yifan Pan, Guibo Luo, Yuesheng Zhu:
Cross-Stage Transfer in Multi-Stage Cascade Ranking and Filtering Systems. 1951-1958 - Li Wei, Yuankun Jiang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong:
Adversarially Robust Neural Lyapunov Control. 1959-1966 - Jiashi Gao, Xin Yao, Xuetao Wei:
Anti-Matthew FL: Bridging the Performance Gap in Federated Learning to Counteract the Matthew Effect. 1967-1974 - Fausto Giunchiglia, Xiaoyue Li:
Big-Thick Data Generation via Reference and Personal Context Unification. 1975-1984 - Yafeng Zhang, Zilan Yu, Jing Tang:
CLLMFS: A Contrastive Learning Enhanced Large Language Model Framework for Few-Shot Named Entity Recognition. 1985-1992 - Pritam Sen, Cristian Borcea:
FedMTL: Privacy-Preserving Federated Multi-Task Learning. 1993-2002 - Thomas Lai, Thi Kieu Khanh Ho, Narges Armanfard:
Open-Set Multivariate Time-Series Anomaly Detection. 2003-2010 - Stavros Gerolymatos, Xenophon Evangelopoulos, Vladimir V. Gusev, John Yannis Goulermas:
Cluster Exploration Using Informative Manifold Projections. 2011-2018 - Wernsen Wong, Yun Sing Koh, Gillian Dobbie:
Learning After Learning: Positive Backward Transfer in Continual Learning. 2019-2026 - Ryohei Oura, Yuji Ito:
Dirichlet Logistic Gaussian Processes for Evaluation of Black-Box Stochastic Systems under Complex Requirements. 2027-2033 - Jian Qian, Miao Sun, Sifan Zhou, Ziyu Zhao, Ruizhi Hun, Patrick Chiang:
Sub-SA: Strengthen In-Context Learning via Submodular Selective Annotation. 2034-2041 - Shen-Huan Lyu, Jin-Hui Wu, Qin-Cheng Zheng, Baoliu Ye:
The Role of Depth, Width, and Tree Size in Expressiveness of Deep Forest. 2042-2049 - Tingting Zhang, Mei Cao, Zhenge Jia, Jianbo Lu, Zhaoyan Shen, Dongxiao Yu, Mengying Zhao:
Federation-Paced Learning: Towards Efficient Federated Learning with Synchronized Pace. 2050-2057 - Ziqun Chen, Kechao Cai, Zhuoyue Chen, Jinbei Zhang, John C. S. Lui:
Merit-Based Fair Combinatorial Semi-Bandit with Unrestricted Feedback Delays. 2058-2065 - Heeyoung Lee, Hoyoon Byun, Changdae Oh, JinYeong Bak, Kyungwoo Song:
Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments. 2066-2073 - Bosheng Yan, Chang-Tsun Li:
Mutual Local Consistency Learning for Face Forgery Detection. 2074-2081 - P. Krishna Kumar, Harish G. Ramaswamy:
Graph Classification with GNNs: Optimisation, Representation & Inductive Bias. 2082-2089 - Han Liang, Ziwei Zhan, Weijie Liu, Xiaoxi Zhang, Chee Wei Tan, Xu Chen:
FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients. 2090-2097 - Hui-Yue Yang, Hui Chen, Lihao Liu, Zijia Lin, Kai Chen, Liejun Wang, Jungong Han, Guiguang Ding:
Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly Detection. 2098-2105 - Daniel Coquelin, Katharina Flügel, Marie Weiel, Nicholas Kiefer, Charlotte Debus, Achim Streit, Markus Götz:
Harnessing Orthogonality to Train Low-Rank Neural Networks. 2106-2113 - Adrian Horzyk:
Advancing ConvNet Architectures: A Novel XGB-based Pruning Algorithm for Transfer Learning Efficiency. 2114-2121 - Yanyi Lai, Lele Fu, Tianchi Liao, Chuan Chen, Zibin Zheng:
FedSeProto: Learning Semantic Prototype in Federated Learning. 2122-2129 - Haodong Jing, Yulong Liu, Yongqiang Ma, Nanning Zheng:
Hidden States in LLMs Improve EEG Representation Learning and Visual Decoding. 2130-2137 - Thibaut Martinet, Guillaume Cleuziou, Matthieu Exbrayat, Frédéric Flouvat:
From Document to Program Embeddings: Can Distributional Hypothesis Really Be Used on Programming Languages? 2138-2145 - Shashank Reddy Chirra, Pradeep Varakantham, Praveen Paruchuri:
Preserving the Privacy of Reward Functions in MDPs through Deception. 2146-2153 - Phurinut Srisawad, Juergen Branke, Long Tran-Thanh:
Identifying the Best Arm in the Presence of Global Environment Shifts. 2154-2161 - Kiran Purohit, Soumi Das, Sourangshu Bhattacharya, Santu Rana:
A Data-Driven Defense Against Edge-Case Model Poisoning Attacks on Federated Learning. 2162-2169 - Zhaoyuan Zhang, Zhenbing Liu, Haoxiang Lu:
Partial Label Learning via Cost-Guided Retraining. 2170-2177 - Anastasios Nentidis, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras:
Zero-Shot Relabeling of Weak Labels for Fine-Grained Semantic Indexing of Biomedical Literature. 2178-2185 - Maximilian Bernhard, Tanveer Hannan, Niklas Strauß, Matthias Schubert:
Context Matters: Leveraging Spatiotemporal Metadata for Semi-Supervised Learning on Remote Sensing Images. 2186-2193 - Shunsuke Kubo, Shinnosuke Matsuo, Daiki Suehiro, Kazuhiro Terada, Hiroaki Ito, Akihiko Yoshizawa, Ryoma Bise:
Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large Bags. 2194-2201 - Yongkai Tian, Xin Yu, Yirong Qi, Li Wang, Pu Feng, Wenjun Wu, Rongye Shi, Jie Luo:
Exploiting Hierarchical Symmetry in Multi-Agent Reinforcement Learning. 2202-2209 - Nathan Corecco, Giorgio Piatti, Luca A. Lanzendörfer, Flint Xiaofeng Fan, Roger Wattenhofer:
SUBER: An RL Environment with Simulated Human Behavior for Recommender Systems. 2210-2217 - Arghyadeep Ghosh, Mrinal Das:
Bottlenecked Backpropagation to Train Differentially Private Deep Neural Networks. 2218-2225 - Hanting Yan, Pan Mu, Cheng Huang, Jinglin Zhang, Cong Bai:
Phy-CoCo: Physical Constraint-Based Correlation Learning for Tropical Cyclone Intensity and Size Estimation. 2226-2233 - Mingkun Zhang, Jianing Li, Wei Chen, Jiafeng Guo, Xueqi Cheng:
Classifier Guidance Enhances Diffusion-Based Adversarial Purification by Preserving Predictive Information. 2234-2241 - Zhengdong Luo, Abibulla Atawulla, Fengyi Yang, Yongqing Zhu, Yixiao Ren, Yunfei Han, Xi Zhou:
TabCGOK: Intra-Class Groups Retrieval and Inter-Class Ordinal Knowledge Augmented Network for Ordinal Tabular Data Prediction. 2242-2249 - Zhiwei Liu, Qiang Lu, Yibo Zhao, Yanhong Zhao, Jake Luo:
Differentiable Neural Network for Assembling Blocks. 2250-2257 - Yunxiao Shi, Xing Zi, Zijing Shi, Haimin Zhang, Qiang Wu, Min Xu:
Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG Systems. 2258-2265 - Luca Stradiotti, Lorenzo Perini, Jesse Davis:
Combining Active Learning and Learning to Reject for Anomaly Detection. 2266-2273 - Simon Delarue, Thomas Bonald, Tiphaine Viard:
Link Prediction Without Learning. 2274-2281 - Shuai Han, Mehdi Dastani, Shihan Wang:
Learning Reward Structure with Subtasks in Reinforcement Learning. 2282-2289 - Yuankai Zhang, Lingxiao Kong, Haozhao Wang, Ruixuan Li, Jun Wang, Yuhua Li, Wei Liu:
Adversarial Attack for Explanation Robustness of Rationalization Models. 2290-2297 - Behzad Mehrbakhsh, Fernando Martínez-Plumed, José Hernández-Orallo:
Distilling the Effects of Language Model Contamination. 2298-2305 - Shirong Liu, Chenjia Bai, Zixian Guo, Hao Zhang, Gaurav Sharma, Yang Liu:
SelfBC: Self Behavior Cloning for Offline Reinforcement Learning. 2306-2313 - Taolin Zhang, Dongyang Li, Qizhou Chen, Chengyu Wang, Longtao Huang, Hui Xue, Xiaofeng He, Jun Huang:
R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models. 2314-2321 - Ilaria Lucrezia Amerise, Valeria Fionda, Giuseppe Pirrò:
Bipartite Time Series Network for Data Imputation. 2322-2329 - Andoni I. Garmendia, Francesco Morri, Quentin Cappart, Hélène Le Cadre:
Winning the 2023 CityLearn Challenge: A Community-Based Hierarchical Energy Systems Coordination Algorithm. 2330-2337 - Giuseppe Pirrò:
Adaptive Spectral-Heterophily for Node Classification. 2338-2345 - Zixuan Yang, Xiao Wang, Yanhua Yu, Yuling Wang, Kangkang Lu, Zirui Guo, Xiting Qin, Yunshan Ma, Tat-Seng Chua:
Hop-based Heterogeneous Graph Transformer. 2346-2353 - Karim El Haff, Wissam Antoun, Agnès Braud, Florence Le Ber, Véronique Pitchon:
Building and Assessing a Named Entity Recognition Resource for Ancient Pharmacopeias. 2354-2361 - Ben Batten, Yang Zheng, Alessandro De Palma, Panagiotis Kouvaros, Alessio Lomuscio:
Verification of Geometric Robustness of Neural Networks via Piecewise Linear Approximation and Lipschitz Optimisation. 2362-2369 - Maryam Badar, Sandipan Sikdar, Wolfgang Nejdl, Marco Fisichella:
TrustFed: Navigating Trade-offs Between Performance, Fairness, and Privacy in Federated Learning. 2370-2377 - Johannes Czech, Jannis Blüml, Kristian Kersting:
Representation Matters for Mastering Chess: Improved Feature Representation in AlphaZero Outperforms Switching to Transformers. 2378-2385 - Arthur Batel, Idir Benouaret, Joan Fruitet, Marc Plantevit, Céline Robardet:
A Simple Yet Effective Interpretable Bayesian Personalized Ranking for Cognitive Diagnosis. 2386-2393 - Tigran Ramazyan, Mikhail Hushchyn, Denis Derkach:
Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Space. 2394-2401 - Kushal Chakrabarti, Mayank Baranwal:
A Methodology Establishing Linear Convergence of Adaptive Gradient Methods under PL Inequality. 2402-2409 - Runming Yang, Taiqiang Wu, Yujiu Yang:
LoCa: Logit Calibration for Knowledge Distillation. 2410-2417 - Junyang Cai, Taoan Huang, Bistra Dilkina:
Learning Backdoors for Mixed Integer Linear Programs with Contrastive Learning. 2418-2425 - Parisa Salmani, Peter R. Lewis:
Transfer Learning Can Introduce Bias. 2426-2433 - Yael Moros-Daval, Fernando Martínez-Plumed, José Hernández-Orallo:
Language Task Difficulty Prediction Through LLM-Annotated Meta-Features. 2434-2441 - Noa Wegerhoff, Avishag Shapira, Yuval Elovici, Asaf Shabtai:
DataDetective: Dataset Watermarking for Leaker Identification in ML Training. 2442-2451 - Raed Abdel Sater, A. Ben Hamza:
A Federated Large Language Model for Long-Term Time Series Forecasting. 2452-2459 - Fares Fourati, Salma Kharrat, Vaneet Aggarwal, Mohamed-Slim Alouini, Marco Canini:
FilFL: Client Filtering for Optimized Client Participation in Federated Learning. 2460-2467 - Sebastian-Vasile Echim, Razvan-Alexandru Smadu, Dumitru-Clementin Cercel:
Benchmarking Adversarial Robustness in Speech Emotion Recognition: Insights into Low-Resource Romanian and German Languages. 2468-2475 - James Kotary, Vincenzo Di Vito, Jacob Christopher, Pascal Van Hentenryck, Ferdinando Fioretto:
Learning Joint Models of Prediction and Optimization. 2476-2483 - Chao Huang, Justin Dachille, Xin Liu:
Coopetition in Heterogeneous Cross-Silo Federated Learning. 2484-2491 - Haoze He, Jing Wang, Anna Choromanska:
Adjacent Leader Decentralized Stochastic Gradient Descent. 2492-2499 - Nguyen-Khang Le, Dieu-Hien Nguyen, Le Minh Nguyen:
ANSPRE: Improving Question-Answering in Large Language Models with Answer-Prefix Generation. 2500-2507 - Moshe Eliasof, Eldad Haber, Eran Treister:
Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification. 2508-2515 - Aneesh Komanduri, Chen Zhao, Feng Chen, Xintao Wu:
Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models. 2516-2523 - Anna Raichev, Jin Tian, Alexander Ihler, Rina Dechter:
Estimating Causal Effects from Learned Causal Networks. 2524-2531 - Chenguang Wang, Zijun Zhang, Zhidan Zhou:
Domain Feature Perturbation for Domain Generalization. 2532-2539 - Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
Be Persistent: Towards a Unified Solution for Mitigating Shortcuts in Deep Learning. 2540-2547 - Bálint Csanády, Lóránt Nagy, Dániel Boros, Iván Ivkovic, Dávid Kovács, Dalma Tóth-Lakits, Zsolt László Márkus, András Lukács:
Parameter Estimation of Long Memory Stochastic Processes with Deep Neural Networks. 2548-2555 - Sujatha Das Gollapalli, Mingzhe Du, See-Kiong Ng:
Counseling Responses for Mental Health Forum Questions with Early Maladaptive Schema Prediction. 2556-2563 - Shuoxi Zhang, Hanpeng Liu, Yuyi Wang, Kun He:
Grouped Logit Distillation Enhanced with Superclass Awareness for Efficient Knowledge Transfer. 2564-2571 - Xinyi Li, Yongfeng Zhang, Edward C. Malthouse:
Large Language Model Agentic Approach to Fact Checking and Fake News Detection. 2572-2579 - Shaowen Tang, Raymond K. Wong:
Adaptive Fraud Detection on e-Commerce Platforms. 2580-2587 - Xudong Zhang, Peng Peng, Xuewen Chen, Yulei Wu, Lingdong Shen, Haina Tang:
STPDN: Spatio-Temporal Pattern Decomposition Network with Fluctuation Awareness for Robust Traffic Flow Forecasting. 2588-2596 - William Holland, Chandra Thapa, Wei Shao, Seyit Camtepe, Sarah Ali Siddiqui:
One-Shot Collaborative Data Distillation. 2597-2604 - Ke Bian, Lu Sun, Dengji Zhao:
Learning Compact Neural Networks via Generalized Structured Sparsity. 2605-2612 - Emmanouil Seferis, Stefanos Kollias, Chih-Hong Cheng:
Estimating the Robustness Radius for Randomized Smoothing with 100× Sample Efficiency. 2613-2620 - Feiyang Ye, Baijiong Lin, Xiaofeng Cao, Yu Zhang, Ivor W. Tsang:
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization. 2621-2628 - Zefeng Wang, Bingbing Hu, Junfeng Yao, Jinsong Su:
Lightweight Transformer for sEMG Gesture Recognition with Feature Distilled Variational Information Bottleneck. 2629-2636 - Jens Lemmens, Walter Daelemans:
Model Priming with Triplet Loss for Few-Shot Emotion Classification in Text. 2637-2644 - Ajnabiul Hoque, Manajit Das, Mayank Baranwal, Raghavan B. Sunoj:
ReactAIvate: A Deep Learning Approach to Predicting Reaction Mechanisms and Unmasking Reactivity Hotspots. 2645-2652 - Georgios Bakirtzis, Michail Savvas, Ruihan Zhao, Sandeep Chinchali, Ufuk Topcu:
Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning. 2653-2660 - Nu Hoang, Bao Duong, Thin Nguyen:
Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows. 2661-2668 - Zahra Atashgahi, Tennison Liu, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu, Mihaela van der Schaar:
Unveiling the Power of Sparse Neural Networks for Feature Selection. 2669-2676 - Lies Hadjadj, Emilie Devijver, Rémi Molinier, Massih-Reza Amini:
Efficient Initial Data Selection and Labeling for Multi-Class Classification Using Topological Analysis. 2677-2684 - Nu Hoang, Bao Duong, Thin Nguyen:
Scalable Variational Causal Discovery Unconstrained by Acyclicity. 2685-2692 - Jintao Liu, Chenglong Liu, Kaiwen Wei:
Multi-View Prompt for Fine-Grained Multimodal Named Entity Recognition and Grounding. 2693-2700 - Ziyad Oulhaj, Yoshiyuki Ishii, Kento Ohga, Kimihiro Yamazaki, Mutsuyo Wada, Yuhei Umeda, Takashi Katoh, Yuichiro Wada, Hiroaki Kurihara:
Deep Mapper: Efficient Visualization of Plausible Conformational Pathways. 2701-2708 - Lang Xue, Hanwen Liu, Jing Wang, Hong Qu:
Reasonable Gradients for Online Training Algorithms in Spiking Neural Networks. 2709-2716 - Muhammad Uzair-Ul-Haq, Davide Rigoni, Alessandro Sperduti:
Prompt-Based Data Augmentation Using Contrastive Learning Under Scarcity of Annotated Data. 2717-2724 - Jan Mielniczuk, Adam Wawrzenczyk:
Augmented Prediction of a True Class for Positive Unlabeled Data Under Selection Bias. 2725-2732 - Muhammad Najib, Giuseppe Perelli:
Synthesis of Reward Machines for Multi-Agent Equilibrium Design. 2733-2740 - Padmanaba Srinivasan, William Knottenbelt:
Offline Model-Based Reinforcement Learning with Anti-Exploration. 2741-2748 - Nicole Orzan, Erman Acar, Davide Grossi, Patrick Mannion, Roxana Radulescu:
Learning in Multi-Objective Public Goods Games with Non-Linear Utilities. 2749-2756 - Chen Wang, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie:
DeCoRTAD: Diffusion Based Conditional Representation Learning for Online Trajectory Anomaly Detection. 2757-2764 - Mohammad Essa Alsomali, Roberto Rodrigues Filho, Leandro Soriano Marcolino, Barry Porter:
An Online Incremental Learning Approach for Configuring Multi-arm Bandits Algorithms. 2765-2772 - Matteo Tiezzi, Simone Marullo, Alessandro Betti, Michele Casoni, Stefano Melacci:
Bridging Continual Learning of Motion and Self-Supervised Representations. 2773-2780 - Ashutosh Sao, Simon Gottschalk:
Spatially Constrained Transformer with Efficient Global Relation Modelling for Spatio-Temporal Prediction. 2781-2789 - Mark Towers, Yali Du, Christopher T. Freeman, Timothy J. Norman:
Explaining an Agent's Future Beliefs Through Temporally Decomposing Future Reward Estimators. 2790-2797 - Xugang Zhou, Jindian Su, Weizheng Gu:
DINEX: Interpretable NLP via Diversified Natural Language Explanations. 2798-2805 - Wenxuan Zhou, Zhihao Qu, Shen-Huan Lyu, Miao Cai, Baoliu Ye:
Mask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split Learning. 2806-2813 - Junlin Lu, Patrick Mannion, Karl Mason:
A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Energy Management. 2814-2821 - Ahmad Saeed Khan, Erik Schaffernicht, Johannes Andreas Stork:
On the Effects of Irrelevant Variables in Treatment Effect Estimation with Deep Disentanglement. 2822-2829 - Nandi Schoots, Alex Jackson, Ali Kholmovia, Peter McBurney, Murray Shanahan:
The Propensity for Density in Feed-Forward Models. 2830-2837 - Lingjun Xu, Haowen Li, Guojie Song, Liang Wang, Bo Zheng:
Laner-GNN: Adapting to Long-Tail Degree Distribution with Latent Neighborhood Restorers. 2838-2845 - Wenchao Liu, Guagnyu Wang, Yuhong He, Hongjian Bo, Lin Ma, Haifeng Li:
A Study of Prototypical Network Techniques for Cross-Subject EEG Analysis. 2846-2853 - Jiahao Li, Yiqiang Chen, Yunbing Xing, Yang Gu, Xiangyuan Lan:
Cascade Memory for Unsupervised Anomaly Detection. 2854-2861 - Jinying Xiao, Ping Li, Jie Nie:
TED: Accelerate Model Training by Internal Generalization. 2862-2869 - Xiaoyu Tan, Bin Li, Xihe Qiu, Jingjing Huang, Yinghui Xu, Wei Chu:
Robust Deep Hawkes Process Under Label Noise of Both Event and Occurrence. 2870-2877 - Senbin Liu, Yuanting Zhang, Kunhua Zhang, Yi Wang:
Federated Learning with Hybrid Knowledge Distillations on Long-Tailed Heterogeneous Client Data. 2878-2885 - Atith Gandhi, Raj Sanjay Shah, Sashank Vijay, Marupudia Varma:
Natural Mitigation of Catastrophic Interference: Continual Learning in Power-Law Learning Environments. 2886-2893 - Qinglong Liu, Wenhao Jiang, Shihang Ding, Kaixuan Wang, Hongjian Bo, Cong Xu, Lin Ma, Haifeng Li:
MCAHNN: Multi-Channel EEG Emotion Recognition Using Attention Mechanism Based on Householder Reflection. 2894-2901 - Xinpeng Hong, Changgang Zheng, Noa Zilberman:
In-Network Machine Learning for Real-Time Transaction Fraud Detection. 2902-2909 - Marek Herde, Lukas Lührs, Denis Huseljic, Bernhard Sick:
Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extension. 2910-2918 - Zuzanna Osika, Jazmin Zatarain Salazar, Frans A. Oliehoek, Pradeep K. Murukannaiah:
Navigating Trade-offs: Policy Summarization for Multi-Objective Reinforcement Learning. 2919-2926 - Zheng Jiang, Anqi Lu, Zifeng Wu, Wei Wang, Gaowei Zhang, Eerdun Hasi, Yi Wang:
FenGe-An Interactive Framework for Improving the Utility of Deep Dune Segmentation in Geographical Tasks. 2927-2934 - Florian Grötschla, Joël Mathys, Christoffer Raun, Roger Wattenhofer:
GraphFSA: A Finite State Automaton Framework for Algorithmic Learning on Graphs. 2935-2942 - Paulo Vitor de Campos Souza, Mauro Dragoni:
Development of an Interpretable Uni-Null Neuron-Based Evolving Fuzzy Neural Network for Age Group Identification in Respondents with Diabetes. 2943-2949 - Stratis Limnios, Praveen Selvaraj, Mihai Cucuringu, Carsten Maple, Gesine Reinert, Andrew Elliott:
SaGess: A Sampling Graph Denoising Diffusion Model for Scalable Graph Generation. 2950-2957 - Yunyi Zhou, Ruohan Gao, Xinping Zheng, Yuchen Huang, Zhixuan Chu:
VMFTransformer: An Angle-Preserving and Auto-Scaling Machine for Multi-Horizon Probabilistic Forecasting. 2958-2965 - Boan Liu, Liang Ding, Li Shen, Keqin Peng, Yu Cao, Dazhao Cheng, Dacheng Tao:
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer. 2966-2973 - Gentiana Rashiti, Geethan Karunaratne, Mrinmaya Sachan, Abu Sebastian, Abbas Rahimi:
RETRO-LI: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization. 2974-2982 - Pavel Zwerschke, Arvid Weyrauch, Markus Götz, Charlotte Debus:
Taylor Expansion in Neural Networks: How Higher Orders Yield Better Predictions. 2983-2989 - Yupeng Wu, Weiye Wang, Yangwenhui Zhang, Mingjia Li, Yuanhao Liu, Hong Qian, Aimin Zhou:
High-Dimensional Causal Bayesian Optimization. 2990-2997 - Lapo Frati, Neil Traft, Jeff Clune, Nick Cheney:
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning. 2998-3005 - Alperen Tercan, Vinayak S. Prabhu:
Thresholded Lexicographic Ordered Multiobjective Reinforcement Learning. 3006-3014 - Wenda Li, Kaixuan Chen, Shunyu Liu, Tongya Zheng, Wenjie Huang, Mingli Song:
Learning a Mini-Batch Graph Transformer via Two-Stage Interaction Augmentation. 3015-3022 - Christian Schlauch, Christian Wirth, Nadja Klein:
Informed Spectral Normalized Gaussian Processes for Trajectory Prediction. 3023-3030 - Teemu Sarapisto, Haoyu Wei, Keijo Heljanko, Arto Klami, Laura Ruotsalainen:
Subsystem Discovery in High-Dimensional Time-Series Using Masked Autoencoders. 3031-3038 - Samuel Cognolato, Alessandro Sperduti, Luciano Serafini:
IFH: A Diffusion Framework for Flexible Design of Graph Generative Models. 3039-3046 - Madhumita Kundu, Pekka Parviainen, Saket Saurabh:
Discovering Bayesian Networks when Few Variables Matter. 3047-3054 - Elena Umili, Francesco Argenziano, Roberto Capobianco:
Neural Reward Machines. 3055-3062 - Wei Zhang, Wenqing Hu, Yifan Wang:
B2MAPO: A Batch-by-Batch Multi-Agent Policy Optimization to Balance Performance and Efficiency. 3063-3070 - Angelo Rodio, Giovanni Neglia:
FedStale: leveraging Stale Updates in Federated Learning. 3071-3078 - Nakul Upadhya, Eldan Cohen:
NeurCAM: Interpretable Neural Clustering via Additive Models. 3079-3087 - Adán José García, Julie Jacques, Clément Chauvet, Vincent Sobanski, Clarisse Dhaenens:
HBIC: A Biclustering Algorithm for Heterogeneous Datasets. 3088-3095 - Imen Ben Sassi, Priit Järv, Sadok Ben Yahia:
Does Serendipity Enhance Recommendation Quality? Measuring Accuracy and Beyond-Accuracy Objectives of Serendipitous POI Suggestions. 3096-3103 - Chester Wyke, Ruth Urner:
An Axiomatic Perspective on Anomaly Detection. 3104-3111 - Flavio Petruzzellis, Alberto Testolin, Alessandro Sperduti:
A Neural Rewriting System to Solve Algorithmic Problems. 3112-3119 - Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh:
Revisiting the Dataset Bias Problem from a Statistical Perspective. 3120-3127 - Erfaneh Mahmoudzadeh, Parmis Naddaf, Kiarash Zahirnia, Oliver Schulte:
Deep Generative Models for Subgraph Prediction. 3128-3136 - Delma Nieves-Rivera, Christopher Archibald:
Approximate Estimation of High-Dimension Execution Skill for Dynamic Agents in Continuous Domains. 3137-3144 - Jan Tóth, Yuanhong Wang, Yuyi Wang, Ondrej Kuzelka:
A More Practical Algorithm for Weighted First-Order Model Counting with Linear Order Axiom. 3145-3154 - Lihi Idan:
Towards Unsupervised Validation of Anomaly-Detection Models. 3155-3162 - Eugene Yang, Hao Chen, Seokho Kang:
Mixup Your Own Latent: Efficient and Robust Self-Supervised Learning on Small Images. 3163-3170 - Hyeonjun Park, Kyungjae Lee:
Contextually Adaptive Algorithms for Gaussian Process Bandit Optimization Under Heavy-Tailed Noise. 3171-3178 - Lucio La Cava, Davide Costa, Andrea Tagarelli:
Is Contrasting All You Need? Contrastive Learning for the Detection and Attribution of AI-generated Text. 3179-3186 - Mahdi Hadj Ali, Yann Le Biannic, Pierre-Henri Wuillemin:
Quantifying a Causal Effect from a CPDAG with Targeted Exogenous Causal Knowledge. 3187-3194 - Soumyadeep Roy, Shamik Sural, Niloy Ganguly:
Unlocking Efficiency: Adaptive Masking for Gene Transformer Models. 3195-3202 - Weijie Li, Zhentao Gu, Xiaochao Fan, Wenjun Deng, Yong Yang, Xinyuan Zhao, Yufeng Diao, Liang Yang:
Exploring Large Language Models Text Style Transfer Capabilities. 3203-3210 - Johannes Klaus Fichte, Markus Hecher, Yasir Mahmood, Arne Meier:
Rejection in Abstract Argumentation: Harder Than Acceptance? 3212-3219 - Yitian Chen, Xuan Liu, Shigeng Zhang, Xinning Chen, Song Guo:
Matching Gains with Pays: Effective and Fair Learning in Multi-Agent Public Goods Dilemmas. 3220-3227 - Alexandre S. Pires, Fernando P. Santos:
Artificial Agents Facilitate Human Cooperation Through Indirect Reciprocity. 3228-3235 - Valentin Zech, Niclas Boehmer, Edith Elkind, Nicholas Teh:
Multiwinner Temporal Voting with Aversion to Change. 3236-3243 - Yuan Fang, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov:
Meta-Mechanisms for Combinatorial Auctions over Social Networks. 3244-3251 - Fengjuan Jia, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov:
Balancing Efficiency with Equality: Auction Design with Group Fairness Concerns. 3252-3259 - Niclas Boehmer, Minbiao Han, Haifeng Xu, Milind Tambe:
Escape Sensing Games: Detection-vs-Evasion in Security Applications. 3260-3267 - Sheryl Paul, Jyotirmoy V. Deshmukh:
Survival of the Fittest: Evolutionary Adaptation of Policies for Environmental Shifts. 3268-3275 - Leila Amgoud:
Post-hoc Explanation of Extension Semantics. 3276-3283 - Lucia Gordon, Esther Rolf, Milind Tambe:
Combining Diverse Information for Coordinated Action: Stochastic Bandit Algorithms for Heterogeneous Agents. 3284-3291 - Edith Elkind, Tzeh Yuan Neoh, Nicholas Teh:
Temporal Elections: Welfare, Strategyproofness, and Proportionality. 3292-3299 - Chengpeng Hu, Jialin Liu, Xin Yao:
Evolutionary Reinforcement Learning via Cooperative Coevolution. 3300-3307 - Zhentao Xie, Jiabao Zhao, Yilei Wang, Jinxin Shi, Yanhong Bai, Xingjiao Wu, Liang He:
MindScope: Exploring Cognitive Biases in Large Language Models Through Multi-Agent Systems. 3308-3315 - Dao Thauvin, Stéphane Herbin, Wassila Ouerdane, Céline Hudelot:
Interpretable Image Classification Through an Argumentative Dialog Between Encoders. 3316-3323 - Trung Thanh Nguyen, Khaled Elbassioni, Jörg Rothe:
Complexity and Approximation Schemes for Social Welfare Maximization in the High-Multiplicity Setting. 3324-3331 - Saar Cohen, Noa Agmon:
Online Friends Partitioning Under Uncertainty. 3332-3339 - Lars Bengel, Julian Sander, Matthias Thimm:
Characterising Serialisation Equivalence for Abstract Argumentation. 3340-3347 - Nic Wilson:
Scale-Invariant Variations of Max Regret. 3348-3355 - Zsuzsanna Jankó, Attila Joó, Erel Segal-Halevi, Sheung Man Yuen:
On Connected Strongly-Proportional Cake-Cutting. 3356-3363 - Victorien Desbois, Ocan Sankur, François Schwarzentruber:
An Efficient Modular Algorithm for Connected Multi-Agent Path Finding. 3364-3371 - Hugo Gilbert, Mohamed Ouaguenouni, Olivier Spanjaard:
Learning and Optimizing with an SSB Representation of Intransitive Preferences on Sets. 3372-3379 - Kento Yoshida, Kei Kimura, Taiki Todo, Makoto Yokoo:
Analyzing Incentives and Fairness in Ordered Weighted Average for Facility Location Games. 3380-3387 - Hodaya Barr, Yohai Trabelsi, Sarit Kraus, Liam Roditty, Noam Hazon:
The Complexity of Manipulation of k-Coalitional Games on Graphs. 3388-3396 - Bart de Keijzer, Carmine Ventre:
Selfishly Cancelling Debts Can Reduce Systemic Risk. 3397-3404 - Bart de Keijzer, Carmine Ventre:
Reducing Systemic Risk in Financial Networks through Donations. 3405-3412 - Jiehua Chen, Ildikó Schlotter, Sofia Simola:
Parameterized Algorithms for Optimal Refugee Resettlement. 3413-3420 - Nhat Nguyen, Duong Nguyen, Gianluca Rizzo, Hung Nguyen:
United We Stand: Decentralized Multi-Agent Planning with Attrition. 3421-3428 - Xinpeng Hong, Changgang Zheng, Stefan Zohren, Noa Zilberman:
Accelerating Machine Learning for Trading Using Programmable Switches. 3429-3436 - Ivan Donadello, Renan Lirio de Souza, Anthony Hunter, Mauro Dragoni:
Compromises in Dialogical Argumentation: Aggregated Policies for Biparty Decision Theory. 3437-3444 - Emanuele De Angelis, Maurizio Proietti, Francesca Toni:
Learning Brave Assumption-Based Argumentation Frameworks via ASP. 3445-3452 - Hau Chan, Jianan Lin, Chenhao Wang, Yanxi Xie:
Mechanism Design for Extending the Accessibility of Facilities. 3453-3460 - Tatiana Belova, Yuriy Dementiev, Fedor V. Fomin, Petr A. Golovach, Artur Ignatiev:
How to Guide a Present-Biased Agent Through Prescribed Tasks? 3461-3468 - Kimon Boehmer, Niclas Boehmer:
Worst- and Average-Case Robustness of Stable Matchings: (Counting) Complexity and Experiments. 3469-3476 - Aurélie Beynier, Jean-Guy Mailly, Nicolas Maudet, Anaëlle Wilczynski:
Explaining the Lack of Locally Envy-Free Allocations. 3477-3484 - Hadi Hosseini, Joshua Kavner, Tomasz Was, Lirong Xia:
Distribution of Chores with Information Asymmetry. 3485-3492 - António M. Fernandes, Francisco C. Santos, Ana Paiva:
Counterfactual Thinking in Stochastic Dynamics of Cooperation. 3493-3500 - Yao Zhang, Shanshan Zheng, Dengji Zhao:
Optimal Diffusion Auctions. 3501-3508 - Maaike Venema-Los, Zoé Christoff, Davide Grossi:
Limited Voting for Better Representation? 3509-3516 - Lydia Blümel, Matthias Thimm:
Revisiting Vacuous Reduct Semantics for Abstract Argumentation. 3517-3524 - Joanna Kaczmarek, Jörg Rothe:
Control by Adding Players to Change or Maintain the Shapley-Shubik or the Penrose-Banzhaf Power Index in Weighted Voting Games Is Complete for NPPP. 3525-3532 - Toby Walsh:
Approximate Mechanism Design for Facility Location with Multiple Objectives. 3533-3540 - Vincent Mousseau, Henri Surugue, Anaëlle Wilczynski:
Do We Care About Poll Manipulation in Political Elections? 3541-3548 - Karl Jochen Micheel, Anaëlle Wilczynski:
Fairness in Repeated House Allocation. 3549-3556 - Chenyu Zhang, Xu Chen, Xuan Di:
A Single Online Agent Can Efficiently Learn Mean Field Games. 3557-3564 - Clément Contet, Umberto Grandi, Jérôme Mengin:
Abductive and Contrastive Explanations for Scoring Rules in Voting. 3565-3572 - Kevin Hsu:
Existence of MMS Allocations of Mixed Manna. 3573-3580 - Caroline Bonhomme, Christophe Grand, Charles Lesire, Jean-Louis Dufour, Christophe Guettier:
Multi-Agent Path Finding with Task Assignment and Supporting Constraints. 3581-3588 - Douglas Antunes Tesch, Leonardo Amado, Felipe Meneguzzi:
Real-Time Goal Recognition Using Approximations in Euclidean Space. 3589-3596 - Ari Conati, Andreas Niskanen, Ronald de Haan, Matti Järvisalo:
Complexity Results and Algorithms for Manipulation and Bribery in Judgment Aggregation. 3597-3604 - Michele Brienza, Vincenzo Suriani, Domenico Daniele Bloisi, Daniele Nardi:
Multi-Agent Planning Using Visual Language Models. 3605-3611 - Sz-Ting Tzeng, Nirav Ajmeri, Munindar P. Singh:
Value-Based Rationales Improve Social Experience: A Multiagent Simulation Study. 3612-3619 - Dylan Cope, Nandi Schoots:
Channel Randomisation Methods for Zero-Shot Communication. 3620-3627 - Elfia Bezou-Vrakatseli, Oana Cocarascu, Sanjay Modgil:
EthiX: A Dataset for Argument Scheme Classification in Ethical Debates. 3628-3635 - Hadi Hosseini, Medha Kumar, Sanjukta Roy:
The Degree of Fairness in Efficient House Allocation. 3636-3643 - Martin Rames, Pavel Surynek:
Reaching New Heights in Multi-Agent Collective Construction. 3644-3651 - Kartik Gokhale, Amit Kumar Mallik, Ankit Kumar Misra, Swaprava Nath:
A Gale-Shapley View of Unique Stable Marriages. 3652-3659 - Gaurav Dixit:
Objective-Informed Diversity for Multi-Objective Multiagent Coordination. 3660-3667 - Sankarshan Damle, Varul Srivastava, Sujit Gujar:
No Transaction Fees? No Problem! Achieving Fairness in Transaction Fee Mechanism Design. 3668-3675 - Bo Li, Di Liang, Zixin Zhang:
Comateformer: Combined Attention Transformer for Semantic Sentence Matching. 3677-3684 - Quandong Wang, Yuxuan Yuan, Xiaoyu Yang, Ruike Zhang, Kang Zhao, Wei Liu, Jian Luan, Daniel Povey, Bin Wang:
SUBLLM: A Novel Efficient Architecture with Token Sequence Subsampling for LLM. 3685-3692 - Eduardo Sanchez-Karhunen, Jose F. Quesada-Moreno, Miguel A. Gutiérrez-Naranjo:
Interpretation of the Intent Detection Problem as Dynamics in a Low-Dimensional Space. 3693-3700 - Xiaoke Li, Zufan Zhang:
SF-SER: An Efficient Speech-Only Model with Semantic Funnel for Speech Emotion Recognition. 3701-3708 - Ran Liu, Ming Liu, Min Yu, Jianguo Jiang, Gang Li, Dan Zhang, Jingyuan Li, Xiang Meng, Weiqing Huang:
GLIMMER: Incorporating Graph and Lexical Features in Unsupervised Multi-Document Summarization. 3709-3716 - Mengsay Loem, Masahiro Kaneko, Naoaki Okazaki:
SAIE Framework: Support Alone Isn't Enough - Advancing LLM Training with Adversarial Remarks. 3717-3724 - Tiening Sun, Zhong Qian, Peifeng Li, Qiaoming Zhu:
Global Structural-Temporal Graph Network with Public Opinion for Online Rumor Detection. 3725-3732 - Pengyu Zhang, Congfeng Cao, Paul Groth:
TIGER: Temporally Improved Graph Entity Linker. 3733-3740 - Jinsung Kim, Seonmin Koo, Heuiseok Lim:
Revisiting Under-Represented Knowledge of Latin American Literature in Large Language Models. 3741-3748 - Chenyang Li, Bo Xu, Meng Wang, Kun He:
Semantic Similarity Driven Multi-Modal Model for Rumor Detection. 3749-3756 - Yongjian Tang, Rakebul Hasan, Thomas A. Runkler:
FsPONER: Few-Shot Prompt Optimization for Named Entity Recognition in Domain-Specific Scenarios. 3757-3764 - Xinyu Chen, Sheng Xu, Peifeng Li, Qiaoming Zhu:
Enhancing Discourse Coherence to Improve Cross-Document Event Coreference Resolution. 3765-3772 - Sarthak Jauhari, Massimo Nicosia, Ankush Chatterjee, Rahul Goel:
Translation and Transliteration Based Data Augmentation for Multilingual Semantic Parsing. 3773-3780 - Mikhail Orzhenovskii, Roman Kane, Arina Razmyslovich:
Text-Based Geolocation with a Byte-Level Language Model. 3781-3788 - Alejandro Sánchez-de-Castro-Fernández, Lourdes Araujo, Juan Martínez-Romo:
Generative LLMs for Multilingual Temporal Expression Normalization. 3789-3796 - Basmah Alsenani, Anna Esposito, Alessandro Vinciarelli, Tanaya Guha:
Assessing Privacy Risks of Attribute Inference Attacks Against Speech-Based Depression Detection System. 3797-3804 - Dinghao Xue, Xiaoran Fan, Tao Chen, Guohao Lan, Qun Song:
Leveraging Foundation Models for Zero-Shot IoT Sensing. 3805-3812 - Xiujuan Xu, Xiaoxiao Shi, Zhehuan Zhao, Yu Liu:
MLGAT: Multi-Scale Line Graph Attention Network for Emotion Recognition in Conversation. 3813-3820 - Lin Sheng, Cheng Deng, Junjie Zhang, Fangyuan Chang, Qinghua Sun, Zhenyu Gu:
A Language Model as a Design Assistant for UI Design Recommendation and Evaluation. 3821-3827 - Xiangke Zeng, Zuchao Li, Lefei Zhang, Ping Wang, Hongqiu Wu, Hai Zhao:
A Coin Has Two Sides: A Novel Detector-Corrector Framework for Chinese Spelling Correction. 3828-3835 - Yan Liu, Longyue Wang, Zhaopeng Tu, Deyi Xiong:
Reassessing Non-Autoregressive Neural Machine Translation with a Fine-Grained Error Taxonomy. 3836-3843 - Steven Davy:
Tailored-LLaMA: Optimizing Few-Shot Learning in Pruned LLaMA Models with Task-Specific Prompts. 3844-3850 - Chunkit Chan, Jiayang Cheng, Xin Liu, Yauwai Yim, Yuxin Jiang, Zheye Deng, Haoran Li, Yangqiu Song, Ginny Y. Wong, Simon See:
Audience Persona Knowledge-Aligned Prompt Tuning Method for Online Debate. 3851-3858 - Xingyu Ma, Xin Tian, Lingxiang Wu, Xuepeng Wang, Xueming Tang, Jinqiao Wang:
Enhancing Text-to-SQL Capabilities of Large Language Models via Domain Database Knowledge Injection. 3859-3866 - Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang, Hinrich Schütze:
ChatZero: Zero-Shot Cross-Lingual Dialogue Generation via Pseudo-Target Language. 3867-3874 - Weijia Zhang, Vaishali Pal, Jia-Hong Huang, Evangelos Kanoulas, Maarten de Rijke:
QFMTS: Generating Query-Focused Summaries over Multi-Table Inputs. 3875-3882 - Junhong Liang, Junnan Zhu, Feifei Zhai, Nanchang Cheng, Chengqing Zong, Yu Zhou:
A Hybrid Approach towards Chinese Spelling and Splitting Error Correction. 3883-3890 - Dai Do, Quan Tran, Svetha Venkatesh, Hung Le:
Large Language Model Prompting with Episodic Memory. 3891-3898 - Wenqing Deng, Zhe Wang, Kewen Wang, Shirui Pan, Xiaowang Zhang, Zhiyong Feng:
Differentiating Choices via Commonality for Multiple-Choice Question Answering. 3899-3906 - Chunzhen Jin, Yongfeng Huang, Yaqi Wang, Peng Cao, Osmar Zaïane:
SETTP: Style Extraction and Tunable Inference via Dual-Level Transferable Prompt Learning. 3907-3914 - Zechen Meng, Wenbin Zhang, Mankun Zhao, Tianyi Xu, Jian Yu, Ruiguo Yu, Mei Yu:
DSPrompt: Prompt Learning with Relation Abstraction and Context Injection for Distant Supervised Relation Extraction. 3915-3922 - Paula Reyero Lobo, Enrico Daga, Harith Alani, Miriam Fernández:
Enhancing Hate Speech Annotations with Background Semantics. 3923-3930 - Jiawen Zhang, Kejia Chen, Zunlei Feng, Jian Lou, Mingli Song:
SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models. 3931-3938 - Jian Wang, Yuqing Sun, Yanjie Liang, Xin Li, Bin Gong:
Iteratively Calibrating Prompts for Unsupervised Diverse Opinion Summarization. 3939-3946 - Yuan Xin, Zheng Li, Ning Yu, Dingfan Chen, Mario Fritz, Michael Backes, Yang Zhang:
Inside the Black Box: Detecting Data Leakage in Pre-Trained Language Encoders. 3947-3955 - Sakshi Deo Shukla, Pavel Denisov, Tugtekin Turan:
Advancing Topic Segmentation of Broadcasted Speech with Multilingual Semantic Embeddings. 3956-3963 - Shaojuan Wu, Jitong Li, Yue Sun, Xiaowang Zhang, Zhiyong Feng:
Diversity-Enhanced Learning for Unsupervised Syntactically Controlled Paraphrase Generation. 3964-3971 - Gongzhen Hu, Yuanjun Liu, Xiabing Zhou, Min Zhang:
Improving Aspect-Based Sentiment Analysis via Tuple-Order Learning. 3972-3979 - Alexander Demidovskij:
ALOE: Boosting Large Language Model Fine-Tuning with Aggressive Loss-Based Elimination of Samples. 3980-3986 - Jingyang Deng, Zhengyang Shen, Boyang Wang, Lixin Su, Suqi Cheng, Ying Nie, Junfeng Wang, Dawei Yin, Jinwen Ma:
FltLM: An Intergrated Long-Context Large Language Model for Effective Context Filtering and Understanding. 3987-3994 - Rajdeep Sarkar, Sourav Dutta, John P. McCrae:
BRECS: Enhanced Binary Representation of Word Embeddings via Cosine Similarity. 3995-4002 - Célia D'Cruz, Jean-Marc Bereder, Frédéric Precioso, Michel Riveill:
Domain-Specific Long Text Classification from Sparse Relevant Information. 4003-4010 - Prithwish Jana, Piyush Jha, Haoyang Ju, Gautham Kishore, Aryan Mahajan, Vijay Ganesh:
CoTran: An LLM-Based Code Translator Using Reinforcement Learning with Feedback from Compiler and Symbolic Execution. 4011-4018 - Yu Yan, Yinghan Shen, Teli Liu, Xuhui Jiang, Dechun Yin:
Enhancing Stance Detection on Social Media via Core Views Discovery. 4019-4026 - Rameez Qureshi, Naïm Es-Sebbani, Luis Galárraga, Yvette Graham, Miguel Couceiro, Zied Bouraoui:
REFINE-LM: Mitigating Language Model Stereotypes via Reinforcement Learning. 4027-4034 - Rui Fang, Chin-Yuan Yeh, Hsi-Wen Chen, Ming-Syan Chen:
BiLEE: Bi-Level Early Exiting for Generative Document Retrieval. 4035-4042 - Fahim Ahmed, Md Fahim, Md. Ashraful Amin, Amin Ahsan Ali, AKM Mahabubur Rahman:
Improving the Performance of Transformer-Based Models Over Classical Baselines in Multiple Transliterated Languages. 4043-4050 - Fan Zhang, Kebing Jin, Hankz Hankui Zhuo:
Planning with Logical Graph-Based Language Model for Instruction Generation. 4052-4059 - Jayanta Mandi, Marco Foschini, Daniel Höller, Sylvie Thiébaux, Jörg Hoffmann, Tias Guns:
Decision-Focused Learning to Predict Action Costs for Planning. 4060-4067 - Ziyan An, Hendrik Baier, Abhishek Dubey, Ayan Mukhopadhyay, Meiyi Ma:
Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic. 4068-4075 - Mohammed Bachir Bederina, Djamal Chaabane, Thibaut Lust:
Generating Fair Solutions of Minimal Cost. 4076-4083 - Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares:
NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems. 4084-4091 - Rebecca Eifler, Daniel Fiser, Aleena Siji, Jörg Hoffmann:
Iterative Oversubscription Planning with Goal-Conflict Explanations: Scaling Up Through Policy-Guidance Approximation. 4092-4099 - Choiwah Chow, Mikolás Janota, João Araújo:
Cube-Based Isomorph-Free Finite Model Finding. 4100-4107 - Jinghui Xue, Jiongzhi Zheng, Kun He, Chu-Min Li, Yanli Liu:
DiverTEAM: An Effective Evolutionary Algorithm for Diversified Top-k (Weight) Clique Search Problems. 4108-4115 - Dave Gomboc, Christian R. Shelton, Andrew S. Miner, Gianfranco Ciardo:
Comparing Lossless Compression Methods for Chess Endgame Data. 4116-4123 - Guy Shani:
Heuristics for Partially Observable Stochastic Contingent Planning. 4124-4131 - Chunyu Luo, Yi Zhou, Zhengren Wang, Mingyu Xiao:
A Faster Branching Algorithm for the Maximum k-Defective Clique Problem. 4132-4139 - Arnaud Lequen:
Learning Interpretable Classifiers for PDDL Planning. 4140-4147 - Johannes Schmalz, Felipe W. Trevizan:
Finding Optimal Deterministic Policies for Constrained Stochastic Shortest Path Problems. 4148-4156 - Gaspard Quenard, Damien Pellier, Humbert Fiorino:
SibylSat: Using SAT as an Oracle to Perform a Greedy Search on TOHTN Planning. 4157-4164 - Tobias John, Patrick Koopmann:
Planning with OWL-DL Ontologies. 4165-4172 - Alexander Andreev, Konstantin Chukharev, Stepan Kochemazov, Alexander A. Semenov:
Using Backdoors to Generate Learnt Information in SAT Solving. 4173-4180 - Giacomo Rosa, Nir Lipovetzky:
Count-Based Novelty Exploration in Classical Planning. 4181-4189 - Lior Siag, Shahaf S. Shperberg, Ariel Felner, Nathan R. Sturtevant:
On Parallel External-Memory Bidirectional Search. 4190-4197 - Gregor Behnke:
Barely Decidable Fragments of Planning. 4198-4206 - Irfansha Shaik, Jaco van de Pol:
Optimal Layout-Aware CNOT Circuit Synthesis with Qubit Permutation. 4207-4215 - Stephen Wissow, Masataro Asai:
Scale-Adaptive Balancing of Exploration and Exploitation in Classical Planning. 4216-4223 - Mika Skjelnes, Daniel Gnad, Jendrik Seipp:
Cost Partitioning for Multiple Sequence Alignment. 4224-4231 - Lee-or Alon, Hana Weitman, Alexander Shleyfman, Gal A. Kaminka:
Planning to be Healthy: Towards Personalized Medication Planning. 4232-4239 - Laurent Michel, Willem-Jan van Hoeve:
CODD: A Decision Diagram-Based Solver for Combinatorial Optimization. 4240-4247 - Jussi Rintanen, Masood Feyzbakhsh Rankooh:
Symmetry-Breaking Constraints for Directed Graphs. 4248-4253 - Nils Wilken, Lea Cohausz, Christian Bartelt, Heiner Stuckenschmidt:
Fact Probability Vector Based Goal Recognition. 4254-4261 - René Heesch, Alessandro Cimatti, Jonas Ehrhardt, Alexander Diedrich, Oliver Niggemann:
A Lazy Approach to Neural Numerical Planning with Control Parameters. 4262-4270 - Tuomo Lehtonen, Andreas Niskanen, Matti Järvisalo:
SAT-Based Approaches to Reasoning in Choice Logics. 4271-4278 - Yunjie He, Daniel Hernández, Mojtaba Nayyeri, Bo Xiong, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab:
Generating SROI- Ontologies via Knowledge Graph Query Embedding Learning. 4279-4286 - Martín Pozo, Álvaro Torralba, Carlos Linares López:
Gotta Catch 'Em All! Sequence Flaws in CEGAR for Classical Planning. 4287-4294 - Andrew Cropper, Céline Hocquette:
Learning Logic Programs by Finding Minimal Unsatisfiable Subprograms. 4295-4302 - Conny Olz, Alexander Lodemann, Pascal Bercher:
A Heuristic for Optimal Total-Order HTN Planning Based on Integer Linear Programming. 4303-4310 - Václav Sobotka, Hana Rudová:
Uncertainty in Real-World Vehicle Routing. 4311-4318 - Gabriele Masina, Giuseppe Spallitta, Roberto Sebastiani:
Canonical Decision Diagrams Modulo Theories. 4319-4327 - Alexander Tuisov, Alexander Shleyfman, Erez Karpas:
Good Things Come to Those Who Wait: The Power of Sensing in Social Laws. 4328-4335 - Jan Jakubuv, Mikolás Janota, Jelle Piepenbrock, Josef Urban:
Machine Learning for Quantifier Selection in cvc5. 4336-4343 - Stepan Dergachev, Konstantin S. Yakovlev:
Decentralized Unlabeled Multi-Agent Pathfinding Via Target And Priority Swapping. 4344-4351 - Carlos Linares López, Ian Herman:
Evolving A* to Efficiently Solve the κ Shortest-Path Problem. 4352-4359 - Haicheng Liao, Yongkang Li, Zhenning Li, Chengyue Wang, Guofa Li, Chunlin Tian, Zilin Bian, Kaiqun Zhu, Zhiyong Cui, Jia Hu:
Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction. 4361-4368 - Runhao Zeng, Dingjie Zhou, Qiwei Liang, Junlin Liu, Hui Li, Changxin Huang, Jianqiang Li, Xiping Hu, Fuchun Sun:
Video2Reward: Generating Reward Function from Videos for Legged Robot Behavior Learning. 4369-4376 - Elisa Tosello, Alessandro Valentini, Andrea Micheli:
A Meta-Engine Framework for Interleaved Task and Motion Planning using Topological Refinements. 4377-4384 - Simon Wasiela, Smail Ait Bouhsain, Marco Cognetti, Juan Cortés, Thierry Siméon:
Learning Uncertainty Tubes via Recurrent Neural Networks for Planning Robust Robot Motions. 4385-4392 - Vassilissa Lehoux-Lebacque, Tomi Silander, Christelle Loiodice, Seungjoon Lee, Albert Wang, Sofia Michel:
Multi-Agent Path Finding with Real Robot Dynamics and Interdependent Tasks for Automated Warehouses. 4393-4401 - Yuan Zhang, Jasper Hoffmann, Joschka Boedecker:
UDUC: An Uncertainty-Driven Approach for Learning-Based Robust Control. 4402-4409 - Silvia Izquierdo-Badiola, Gerard Canal, Guillem Alenyà, Carlos Rizzo, Andrew Coles:
Planning for Human-Robot Collaboration Scenarios with Heterogeneous Costs and Durations. 4410-4417 - Daejong Jin, Kyungjae Lee:
Placement Aware Grasp Planning for Efficient Sequential Manipulation. 4418-4425 - Gloria Beraldo, Angelo Oddi, Riccardo Rasconi:
An Empirical Study of Grounding PPDDL Plans for AI-Driven Robots in Social Environment. 4426-4433 - Miguel Escarda-Fernández, Xin Lin, Iñigo López-Riobóo Botana, Sonia González-Vázquez:
EVIDENT: Enhanced Visualization and Design Integration from Textual Edits and Prompts. 4435-4438 - Andrey V. Savchenko, Dmitry Maslov, Ilya Makarov:
Device-Specific Facial Descriptors: Winning a Lottery with a SuperNet. 4439-4442 - Alexander Schiendorfer, Gheorghe Lisca, Karima Outafraout, Lilia Michailov, Pascal Kätzel, Rudolf Felix:
Gas Grid Copilot: Can a MORL Agent Assist a Dispatcher in Managing a Gas Grid? 4443-4446 - Elliot Faugier, Frédéric Armetta, Angela Bonifati, Bruno Yun:
Assisted Debate Builder with Large Language Models. 4447-4450 - Dilara Keküllüoglu, Michael Rovatsos, Nadin Kökciyan:
Answerable Sociotechnical Systems. 4451-4454 - Cristian Cardellino, Theo Alkibiades Collias, Benjamin Molinet, Erwan Hain, Wei Sun, Rodrigo Agerri, Serena Villata, Elena Cabrio:
ANTIDOTE: ArgumeNtaTIon-Driven explainable artificial intelligence fOr digiTal mEdicine. 4455-4458 - Greta Damo, Nicolás Benjamín Ocampo, Elena Cabrio, Serena Villata:
PEACE: Providing Explanations and Analysis for Combating Hate Expressions. 4459-4462 - Nikolay Dagaev, Ilia Semenkov, Alexei Ossadtchi:
EEG-Based fMRI Digital Twin: Towards a Cheap and Ecological Approach to Measure Subcortical Brain Activity. 4463-4466 - Vladislav Aksiotis, Oleg Sazonov, Kamila Nasrulina, Uliya Nekrasova, Alexei Ossadtchi:
AI-Powered Virtual Reality System for Training Wrist Amputees to Use Advanced Prosthetic Solutions. 4467-4470 - Kaikai An, Fangkai Yang, Junting Lu, Liqun Li, Zhixing Ren, Hao Huang, Lu Wang, Pu Zhao, Yu Kang, Hua Ding, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides. 4471-4474 - Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Stavroula G. Mougiakakou:
A SAM Based Tool for Semi-Automatic Food Annotation. 4475-4478 - Bashar M. Deeb, Andrey V. Savchenko, Ilya Makarov:
CA-SER: Cross-Attention Feature Fusion for Speech Emotion Recognition. 4479-4482 - Damian Kurpiewski, Mateusz Kaminski, Wojciech Jamroga:
STV+FLY: On-the-Fly Model Checking of Strategic Ability in Multi-Agent Systems. 4483-4486 - Jasmine Lesner, Luke Murayama, Tony Guizar, Poom Phunjamaneechot, Daniel Shapiro:
A Demonstration of AI Personalized Interactive Fiction for Young Children. 4487-4490 - Tomislav Duricic, Peter Müllner, Nicole Weidinger, Neven A. M. ElSayed, Dominik Kowald, Eduardo E. Veas:
AI-Powered Immersive Assistance for Interactive Task Execution in Industrial Environments. 4491-4494 - Pierre Monnin, Cherif-Hassan Nousradine, Lucas Jarnac, Laurel Zuckerman, Miguel Couceiro:
KGPRUNE: A Web Application to Extract Subgraphs of Interest from Wikidata with Analogical Pruning. 4495-4498 - Mikhail Mozikov, Nikita Severin, Maria Glushanina, Mikhail Baklashkin, Andrey V. Savchenko, Ilya Makarov:
InsideOut: Unifying Emotional LLMs to Foster Empathy. 4499-4502 - Khanh-Tung Tran, Barry O'Sullivan, Hoang D. Nguyen:
UCCIX: Irish-eXcellence Large Language Model. 4503-4506 - Andreas Laber, Martin Gebser, Konstantin Schekotihin:
Equipment Condition-Integrated Predictive Modeling for Optimized Scheduling of Ion Implantation in Semiconductor Manufacturing. 4508-4515 - Roger Xavier Lera-Leri, Filippo Bistaffa:
A Robust and Scalable Approach to Meet User Preferences in Research Project Planning. 4516-4523 - Min Hun Lee, Renee Bao Xuan Ng, Silvana Xin Yi Choo, Shamala D/O Thilarajah:
Interactive Example-Based Explanations to Improve Health Professionals' Onboarding with AI for Human-AI Collaborative Decision Making. 4524-4531 - Vicent J. Botti, Stella Heras, M. Isabel Marmol, Isabel Miguel, Javier Palanca, Antonio Ruiz:
A Predictive Model for Risk Management of the Hospitalised Patient as a Clinical Decision Support System. 4532-4538 - Parth Rawal, Wolfgang Hintze:
An Intelligent Pipeline for Localization of Industrial Components in Robotic Manufacturing Applications. 4539-4546 - Matías Molina, Bruno Veloso, Carlos Abreu Ferreira, Rita P. Ribeiro, João Gama:
More (Enough) Is Better: Towards Few-Shot Illegal Landfill Waste Segmentation. 4547-4554 - Duc Thien Pham, Roman Moucek:
Automatic Motor Imagery Classification by CNN-Transformer-LSTM Using Multi-Channel EEG Signals. 4555-4562 - Darío Garigliotti, Bjarte Johansen, Jakob Vigerust Kallestad, Seong-Eun Cho, Cèsar Ferri:
EquinorQA: Large Language Models for Question Answering Over Proprietary Data. 4563-4570 - Théo Zangato, Aomar Osmani, Pegah Alizadeh:
Enhancing Decision-Making in Energy Management Systems Through Action-Independent Dynamics Learning. 4571-4578 - George Meramveliotakis, Stasinos Konstantopoulos, George Kosmadakis:
Predicting Solar Heat Production to Optimize Renewable Energy Usage. 4579-4585 - Jonas Kouwenhoven, Lucas Lageweg, Benno Kruit:
Constrained LLM-Based Query Generation for Question Answering on Official Statistics. 4586-4593 - Mariia Shpir, Nadiya Shvai, Amir Nakib:
License Plate Images Generation with Diffusion Models. 4594-4601 - Zahra Ahmadi, Zijian Zhang, Hoang H. Nguyen, Sergio Burdisso, Srikanth R. Madikeri, Petr Motlícek, Erinç Dikici, Gerhard Backfried, Marek Kovác, Kvetoslav Malý, Daniel Kudenko:
Entity Matching Across Small Networks Using Node Attributes. 4602-4609 - James Chao, Wiktor Piotrowski, Roni Stern, Héctor J. Ortiz-Peña, Mitch Manzanares, Shiwali Mohan, Douglas S. Lange:
Novelty Accommodating Multi-Agent Planning in High Fidelity Simulated Open World. 4610-4617 - Blerina Spahiu, Daniela Briola, Riccardo Sartori, Giuseppe Vizzari:
A Data-Driven Approach Supporting Location Decisions for Docking Stations in Bike-Sharing Systems. 4618-4625 - Anjana Wijekoon, Nirmalie Wiratunga, David Corsar, Kyle Martin, Ikechukwu Nkisi-Orji, Chamath Palihawadana, Marta Caro-Martínez, Belén Díaz-Agudo, Derek G. Bridge, Anne Liret:
iSee: Advancing Multi-Shot Explainable AI Using Case-Based Recommendations. 4626-4633 - Sylvia Keßler, Oliver Niggemann:
Automated Impact Echo Spectrum Anomaly Detection using U-Net Autoencoder. 4634-4641 - Pavithra Rajendran, Alexandros Zenonos, Sebin Sabu, Anastasia Spiridou, Helena Spiridou Goncalves, Nastazja Laskowski, Daniel Key, Shiren Patel, Rebecca Pope, Neil Sebire:
GIF: An Automated Genomic Information Finder to Extract Data from Reports. 4642-4648 - Zhiwei Liu, Boyang Liu, Paul Thompson, Kailai Yang, Sophia Ananiadou:
ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model. 4649-4656 - Ashirbad Mishra, Soumik Dey, Jinyu Zhao, Marshall Wu, Binbin Li, Kamesh Madduri:
Graphite: A Graph-Based Extreme Multi-Label Short Text Classifier for Keyphrase Recommendation. 4657-4664 - Sebastian Monka, Irlán Grangel-González, Stefan Schmid, Lavdim Halilaj, Marc Rickart, Oliver Rudolph, Rui Dias:
Enhancing Manufacturing Knowledge Access with LLMs and Context-Aware Prompting. 4665-4672 - Shantanu Chandra, Matthieu Duvinage, PKS Prakash, Patrick Davis, Sander Timmer:
Improving Process Yield Through Manufacturing Digital Twin Using Conditional Synthetic Data Engine (COSYNE). 4673-4680 - Francesco Gibellini, Bart van Gool, Murat Firat, Stefano Bromuri:
Estimating the Time of Arrival of a Shipment with Machine Learning. 4681-4688 - Paula Raissa Silva, João Vinagre, João Gama:
Federated Online Learning for Heavy Hitter Detection. 4689-4695 - Will Connors, Ellen Rushe, Anthony Ventresque:
Frisbees and Dogs: Domain Adaptation for Object Detection with Limited Labels in Rugby Data. 4696-4702 - Christian Sauer, Carsten Wenzel, Katharina Euler, Sonja Reinhold, Frank Wuttke, Björn Oitmann:
Match'In - Pilot Project of an Algorithm-Based Decision Support System for Individualized Recommendations of Municipalities for the Integration of Refugees. 4703-4710 - Jelena Fiosina, Philipp Sievers, Marco Drache, Sabine Beuermann:
Reverse Engineering of Vinyl Acetate Polymerizations by Genetic Algorithm-Based Multi-Objective Optimization. 4711-4718 - Farhad Safaei, Milos Nenadovic, Jakob Wittenstein, Jens Lehmann, Sahar Vahdati:
X-Vent: ICU Ventilation with Explainable Model-Based Reinforcement Learning. 4719-4726 - Sai Sushanth Varma Kalidindi, Hadi Banaee, Hans Karlsson, Amy Loutfi:
Adaptive Context Embedding for Temperature Prediction in Residential Buildings. 4727-4733 - Shanu Vashishtha, Abhay Kumar, Lalitesh Morishetti, Kaushiki Nag, Kannan Achan:
Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers. 4734-4740 - Katarzyna R. Baran:
Fuzzy Ensemble Learning and Lightweight CNN for Stress Classification. 4741-4747 - Matthew Lau, Fahad Alsaeed, Kayla Thames, Nano Suresettakul, Saman A. Zonouz, Wenke Lee, Athanasios P. Meliopoulos:
Physics-Assisted Explainable Anomaly Detection in Power Systems. 4748-4755 - Jasmine Lesner, Luke Murayama, Tony Guizar, Poom Phunjamaneechot, Daniel Shapiro:
AI Personalized Interactive Fiction for Young Children. 4756-4763 - Damien Bouchabou, Sao Mai Nguyen:
Generative Pretrained Embedding and Hierarchical Irregular Time Series Representation for Daily Living Activity Recognition. 4764-4771 - Elizaveta Kovtun, Galina Boeva, Andrey Shulga, Alexey Zaytsev:
Label Attention Network for Temporal Sets Prediction: You Were Looking at a Wrong Self-Attention. 4772-4779
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