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Publication search results
found 122 matches
- 2024
- Bahri Abaci, Seniha Esen Yüksel:
Integrating Visible Light for Enhanced Thermal Imaging: Parameterized Scene-Based Non-Uniformity Correction. MLSP 2024: 1-6 - A. N. M. Nafiz Abeer, Sanket R. Jantre, Nathan M. Urban, Byung-Jun Yoon:
Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design. MLSP 2024: 1-6 - Akram S. Awad, Shuchin Aeron, George K. Atia:
Distributionally Robust Domain Adaptation via Optimal Transport. MLSP 2024: 1-6 - Theodor-Adrian Badea, Bogdan Dumitrescu:
DualGCN: A Convolutional Network for Anomaly Detection in Directed Graphs Based on Symmetrized and Skew-Symmetrized Laplacians. MLSP 2024: 1-6 - Teysir Baoueb, Xiaoyu Bie, Hicham Janati, Gaël Richard:
Wavetransfer: A Flexible End-to-End Multi-Instrument Timbre Transfer with Diffusion. MLSP 2024: 1-6 - Ramzan Basheer, Amir Hossein Daraie, Deepak Mishra:
Hypercube-S4GNN: A Multi-Edge Graph Approach Using State Space Models on Multivariate EEG for Seizure Detection. MLSP 2024: 1-6 - Ali Bereyhi, Ben Liang, Gary Boudreau, Ali Afana:
Novel Gradient Sparsification Algorithm via Bayesian Inference. MLSP 2024: 1-6 - Payel Bhattacharjee, Ravi Tandon:
Adaptive Privacy for Differentially Private Causal Graph Discovery. MLSP 2024: 1-6 - Christiaan Boerkamp, Steven van der Vlugt, Zaid Al-Ars:
Tina: Acceleration of Non-NN Signal Processing Algorithms Using NN Accelerators. MLSP 2024: 1-6 - Joel Brogan, Olivera Kotevska, Anibely Torres, Sumit Jha, Mark Adams:
Improving Robustness of Spectrogram Classifiers with Neural Stochastic Differential Equations. MLSP 2024: 1-6 - Umberto Cappellazzo, Daniele Falavigna, Alessio Brutti, Mirco Ravanelli:
Parameter-Efficient Transfer Learning of Audio Spectrogram Transformers. MLSP 2024: 1-6 - Marco Carpentiero, Vincenzo Matta, Stefan Vlaski, Ali H. Sayed:
Decentralized Fusion of Experts Over Networks. MLSP 2024: 1-6 - Shilpa Chandra, Padmanabhan Rajan:
Is That Me? Using Speaker Identity to Detect Fake Speech. MLSP 2024: 1-6 - Sungkyun Chang, Emmanouil Benetos, Holger Kirchhoff, Simon Dixon:
YourMT3+: Multi-Instrument Music Transcription with Enhanced Transformer Architectures and Cross-Dataset STEM Augmentation. MLSP 2024: 1-6 - Weixuan Chen, Shunpu Tang, Qianqian Yang:
Enhancing Image Privacy in Semantic Communication over Wiretap Channels Leveraging Differential Privacy. MLSP 2024: 1-6 - Jinho Choi, Sivaram Krishnan, Jihong Park:
Koopman Autoencoder Via Singular Value Decomposition for Data-Driven Long-Term Prediction. MLSP 2024: 1-6 - Shubham Choudhary, Paul Masset, Demba Ba:
Self Supervised Dictionary Learning Using Kernel Matching. MLSP 2024: 1-6 - Zhihang Chu, Changyue Chen, Wei Chen, Zhijin Qin:
Deep Learning-Based CTU Splitting and Dynamic GOP Adjusting for Semantic Aware Video Compression. MLSP 2024: 1-6 - Giordano Cicchetti, Eleonora Grassucci, Jihong Park, Jinho Choi, Sergio Barbarossa, Danilo Comminiello:
Language-Oriented Semantic Latent Representation for Image Transmission. MLSP 2024: 1-6 - Alexandra Dache, Arnaud Vandaele, Nicolas Gillis:
Orthogonal Symmetric Nonnegative Matrix Tri-Factorization. MLSP 2024: 1-6 - Samuel Domínguez-Cid, Joshin Krishnan, Rohan T. Money, Baltasar Beferull-Lozano, D. F. Larios, Carlos León:
Graph-Vector Autorregressive Model for Lithium-Ion Cell Capacity Estimation. MLSP 2024: 1-6 - Luca Dordoni, Andrea Migliorati, Giulia Fracastoro, Sophie M. Fosson, Tiziano Bianchi, Enrico Magli:
Sparsification of Deep Neural Networks via Ternary Quantization. MLSP 2024: 1-6 - Teresa Dorszewski
, Lenka Tetková, Lars Kai Hansen:
Convexity Based Pruning of Speech Representation Models. MLSP 2024: 1-6 - Constance Douwes, Romain Serizel:
Normalizing Energy Consumption for Hardware-Independent Evaluation. MLSP 2024: 1-6 - Thierry Roland Baban A Erep, Lotfi Chaâri, Pierre Ele, Eugene Sobngwi:
ESeNet-D : Efficient Semantic Segmentation for RGB-Depth Food Images. MLSP 2024: 1-6 - Alireza Esmaeilzehi, Mohammad Javad Rajabi, Hossein Zaredar, M. Omair Ahmad:
DisCrossFormer: A Deep Light-Weight Image Super Resolution Network Using Disentangled Visual Signal Processing and Correlated Cross-Attention Transformer Operation. MLSP 2024: 1-6 - M'hamed Essafri, Luca Calatroni, Emmanuel Soubies:
On $\ell_{0}$ Bregman-Relaxations for Kullback-Leibler Sparse Regressionx. MLSP 2024: 1-6 - Francesca De Falco, Leonardo Lavagna, Andrea Ceschini, Antonello Rosato, Massimo Panella:
Evolving Hybrid Quantum-Classical GRU Architectures for Multivariate Time Series. MLSP 2024: 1-6 - Zijian Fan, Xinwei Cao, Giampiero Salvi, Torbjørn Svendsen:
Towards Better Recognition of Spontaneous Children's Speech: Speaker-Clustering Fine-Tuning of Whisper. MLSP 2024: 1-6 - Chun-Ting Fang, Tsung-Jung Liu, Kuan-Hsien Liu:
Enhanced Feature Extraction and Attention Mechanisms for Micro-Expression Recognition. MLSP 2024: 1-6
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retrieved on 2025-03-02 08:50 CET from data curated by the dblp team
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