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2020 – today
- 2024
[j35]Tomoharu Iwata
, Atsutoshi Kumagai:
Meta-learning to calibrate Gaussian processes with deep kernels for regression uncertainty estimation. Neurocomputing 579: 127441 (2024)- [j34]Tomoharu Iwata, Yoichi Chikahara:
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers. Mach. Learn. 113(9): 6093-6114 (2024) - [c121]Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara:
Zero-Shot Task Adaptation with Relevant Feature Information. AAAI 2024: 13283-13291 - [c120]Yuya Yoshikawa, Tomoharu Iwata:
Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers. AISTATS 2024: 370-378 - [c119]Futoshi Futami, Tomoharu Iwata:
Information-theoretic Analysis of Bayesian Test Data Sensitivity. AISTATS 2024: 1099-1107 - [c118]Masahiro Nakano, Hiroki Sakuma, Ryo Nishikimi, Ryohei Shibue, Takashi Sato, Tomoharu Iwata, Kunio Kashino:
Warped Diffusion for Latent Differentiation Inference. AISTATS 2024: 4789-4797 - [c117]Tomoharu Iwata, Yusuke Tanaka:
Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics. IJCAI 2024: 4210-4218 - [i59]Yoshiaki Takimoto, Yusuke Tanaka, Tomoharu Iwata, Maya Okawa, Hideaki Kim, Hiroyuki Toda, Takeshi Kurashima:
Meta-Learning for Neural Network-based Temporal Point Processes. CoRR abs/2401.15846 (2024) - [i58]Yusuke Tanaka, Takaharu Yaguchi, Tomoharu Iwata, Naonori Ueda:
Neural Operators Meet Energy-based Theory: Operator Learning for Hamiltonian and Dissipative PDEs. CoRR abs/2402.09018 (2024) - [i57]Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai, Yuki Yamanaka:
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data. CoRR abs/2405.18929 (2024) - [i56]Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara:
Meta-learning for Positive-unlabeled Classification. CoRR abs/2406.03680 (2024) - [i55]Yuka Hashimoto, Tomoharu Iwata:
Deep Koopman-layered Model with Universal Property Based on Toeplitz Matrices. CoRR abs/2410.02199 (2024) - 2023
- [j33]Tomoharu Iwata:
Meta-learning representations for clustering with infinite Gaussian mixture models. Neurocomputing 549: 126423 (2023) - [j32]Yuya Yoshikawa, Tomoharu Iwata:
Gaussian Process Regression With Interpretable Sample-Wise Feature Weights. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5789-5803 (2023) - [c116]Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Yasuhiro Fujiwara:
Meta-learning for Robust Anomaly Detection. AISTATS 2023: 675-691 - [c115]Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada, Keiichi Yasumoto:
School Families: A New Formulation of School District Planning Problem. HICSS 2023: 5122-5131 - [c114]Takeshi Kurashima, Tomoharu Iwata, Tomu Tominaga, Shuhei Yamamoto, Hiroyuki Toda, Kazuhisa Takemura:
Personal History Affects Reference Points: A Case Study of Codeforces. ICWSM 2023: 507-518 - [i54]Tomoharu Iwata, Yoichi Chikahara:
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers. CoRR abs/2305.11353 (2023) - [i53]Futoshi Futami, Tomoharu Iwata:
Information-theoretic Analysis of Test Data Sensitivity in Uncertainty. CoRR abs/2307.12456 (2023) - [i52]Yuya Yoshikawa, Tomoharu Iwata:
Explanation-Based Training with Differentiable Insertion/Deletion Metric-Aware Regularizers. CoRR abs/2310.12553 (2023) - [i51]Tomoharu Iwata, Yusuke Tanaka, Naonori Ueda:
Meta-learning of Physics-informed Neural Networks for Efficiently Solving Newly Given PDEs. CoRR abs/2310.13270 (2023) - [i50]Tomoharu Iwata, Atsutoshi Kumagai:
Meta-learning of semi-supervised learning from tasks with heterogeneous attribute spaces. CoRR abs/2311.05088 (2023) - [i49]Tomoharu Iwata, Atsutoshi Kumagai:
Meta-learning to Calibrate Gaussian Processes with Deep Kernels for Regression Uncertainty Estimation. CoRR abs/2312.07952 (2023) - 2022
- [j31]Israr Ul Haq, Tomoharu Iwata, Yoshinobu Kawahara:
Dynamic mode decomposition via convolutional autoencoders for dynamics modeling in videos. Comput. Vis. Image Underst. 216: 103355 (2022) - [j30]Naohiro Tawara, Atsunori Ogawa, Tomoharu Iwata, Hiroto Ashikawa, Tetsunori Kobayashi, Tetsuji Ogawa:
Multi-Source Domain Generalization Using Domain Attributes for Recurrent Neural Network Language Models. IEICE Trans. Inf. Syst. 105-D(1): 150-160 (2022) - [j29]Yuya Yoshikawa, Tomoharu Iwata:
Neural generators of sparse local linear models for achieving both accuracy and interpretability. Inf. Fusion 81: 116-128 (2022) - [j28]Tomoharu Iwata, Yusuke Tanaka:
Few-shot learning for spatial regression via neural embedding-based Gaussian processes. Mach. Learn. 111(4): 1239-1257 (2022) - [j27]Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda, Hisashi Kashima:
Context-aware spatio-temporal event prediction via convolutional Hawkes processes. Mach. Learn. 111(8): 2929-2950 (2022) - [j26]Tomoharu Iwata, Hitoshi Shimizu, Naoki Marumo:
Probabilistic Pedestrian Models for Estimating Unobserved Road Populations. IEEE Trans. Intell. Transp. Syst. 23(4): 3037-3047 (2022) - [c113]Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama:
Predictive variational Bayesian inference as risk-seeking optimization. AISTATS 2022: 5051-5083 - [c112]Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada, Keiichi Yasumoto:
Evacuation Shelter Scheduling Problem. HICSS 2022: 1-10 - [c111]Keisuke Kinoshita, Marc Delcroix, Tomoharu Iwata:
Tight Integration Of Neural- And Clustering-Based Diarization Through Deep Unfolding Of Infinite Gaussian Mixture Model. ICASSP 2022: 8382-8386 - [c110]Atsutoshi Kumagai, Tomoharu Iwata, Taishi Nishiyama, Yasuhiro Fujiwara:
Transfer Anomaly Detection for Maximizing the Partial AUC. IJCNN 2022: 1-8 - [c109]Maya Okawa, Tomoharu Iwata:
Predicting Opinion Dynamics via Sociologically-Informed Neural Networks. KDD 2022: 1306-1316 - [c108]Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai, Sekitoshi Kanai, Masanori Yamada, Yuki Yamanaka, Hisashi Kashima:
Learning Optimal Priors for Task-Invariant Representations in Variational Autoencoders. KDD 2022: 1739-1748 - [c107]Yusuke Tanaka, Tomoharu Iwata, Naonori Ueda:
Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data. NeurIPS 2022 - [c106]Tomoharu Iwata, Atsutoshi Kumagai:
Sharing Knowledge for Meta-learning with Feature Descriptions. NeurIPS 2022 - [c105]Atsutoshi Kumagai, Tomoharu Iwata, Yasutoshi Ida, Yasuhiro Fujiwara:
Few-shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion. NeurIPS 2022 - [i48]Keisuke Kinoshita, Marc Delcroix, Tomoharu Iwata:
Tight integration of neural- and clustering-based diarization through deep unfolding of infinite Gaussian mixture model. CoRR abs/2202.06524 (2022) - [i47]Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama:
Excess risk analysis for epistemic uncertainty with application to variational inference. CoRR abs/2206.01606 (2022) - [i46]Tomoharu Iwata, Atsutoshi Kumagai:
Meta-learning for Out-of-Distribution Detection via Density Estimation in Latent Space. CoRR abs/2206.09543 (2022) - [i45]Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda:
Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains. CoRR abs/2206.12141 (2022) - [i44]Maya Okawa, Tomoharu Iwata:
Predicting Opinion Dynamics via Sociologically-Informed Neural Networks. CoRR abs/2207.03990 (2022) - [i43]Tomoharu Iwata, Yoshinobu Kawahara:
Data-driven End-to-end Learning of Pole Placement Control for Nonlinear Dynamics via Koopman Invariant Subspaces. CoRR abs/2208.08883 (2022) - [i42]Tomoharu Iwata:
Active Learning for Regression with Aggregated Outputs. CoRR abs/2210.01329 (2022) - [i41]Shuhei A. Horiguchi, Tomoharu Iwata, Taku Tsuzuki, Yosuke Ozawa:
Linear Embedding-based High-dimensional Batch Bayesian Optimization without Reconstruction Mappings. CoRR abs/2211.00947 (2022) - [i40]Tomoharu Iwata, Yoshinobu Kawahara:
Modeling Nonlinear Dynamics in Continuous Time with Inductive Biases on Decay Rates and/or Frequencies. CoRR abs/2212.13033 (2022) - 2021
- [j25]Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda, Toshiyuki Tanaka:
Time-delayed collective flow diffusion models for inferring latent people flow from aggregated data at limited locations. Artif. Intell. 292: 103430 (2021) - [j24]Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato:
Accelerated Diffusion-Based Sampling by the Non-Reversible Dynamics with Skew-Symmetric Matrices. Entropy 23(8): 993 (2021) - [c104]Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Ikko Yamane:
Skew-symmetrically perturbed gradient flow for convex optimization. ACML 2021: 721-736 - [c103]Tomoharu Iwata, Yoshinobu Kawahara:
Controlling Nonlinear Dynamical Systems with Linear Quadratic Regulator-based Policy Networks in Koopman space. CDC 2021: 5086-5091 - [c102]Makoto Morishita, Jun Suzuki, Tomoharu Iwata, Masaaki Nagata:
Context-aware Neural Machine Translation with Mini-batch Embedding. EACL 2021: 2513-2521 - [c101]Ryohei Shibue, Masahiro Nakano, Tomoharu Iwata, Kunio Kashino, Hitonobu Tomoike:
Unsupervised Heart Sound Decomposition and State Estimation with Generative Oscillation Models. EMBC 2021: 5481-5487 - [c100]Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara:
Semi-supervised Anomaly Detection on Attributed Graphs. IJCNN 2021: 1-8 - [c99]Kengo Tajiri, Tomoharu Iwata, Yoichi Matsuo, Keishiro Watanabe:
Fault Detection of ICT systems with Deep Learning Model for Missing Data. IM 2021: 445-451 - [c98]Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima:
Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes. KDD 2021: 1276-1286 - [c97]Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama:
Loss function based second-order Jensen inequality and its application to particle variational inference. NeurIPS 2021: 6803-6815 - [c96]Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara:
Meta-Learning for Relative Density-Ratio Estimation. NeurIPS 2021: 30426-30438 - [i39]Masanori Yamada, Sekitoshi Kanai, Tomoharu Iwata, Tomokatsu Takahashi, Yuki Yamanaka, Hiroshi Takahashi, Atsutoshi Kumagai:
Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression. CoRR abs/2102.02950 (2021) - [i38]Tomoharu Iwata, Yoshinobu Kawahara:
Meta-Learning for Koopman Spectral Analysis with Short Time-series. CoRR abs/2102.04683 (2021) - [i37]Tomoharu Iwata, Atsutoshi Kumagai:
Meta-learning One-class Classifiers with Eigenvalue Solvers for Supervised Anomaly Detection. CoRR abs/2103.00684 (2021) - [i36]Tomoharu Iwata:
Meta-learning representations for clustering with infinite Gaussian mixture models. CoRR abs/2103.00694 (2021) - [i35]Tomoharu Iwata:
Few-shot Learning for Topic Modeling. CoRR abs/2104.09011 (2021) - [i34]Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima:
Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes. CoRR abs/2105.11152 (2021) - [i33]Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama:
Loss function based second-order Jensen inequality and its application to particle variational inference. CoRR abs/2106.05010 (2021) - [i32]Tomoharu Iwata:
Meta-learning for Matrix Factorization without Shared Rows or Columns. CoRR abs/2106.15133 (2021) - [i31]Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara:
Meta-Learning for Relative Density-Ratio Estimation. CoRR abs/2107.00801 (2021) - [i30]Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara:
Few-shot Learning for Unsupervised Feature Selection. CoRR abs/2107.00816 (2021) - [i29]Tomoharu Iwata:
End-to-End Learning of Deep Kernel Acquisition Functions for Bayesian Optimization. CoRR abs/2111.00639 (2021) - [i28]Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada, Keiichi Yasumoto:
Evacuation Shelter Scheduling Problem. CoRR abs/2111.13326 (2021) - [i27]Tomoharu Iwata, Yuya Yoshikawa:
Training Deep Models to be Explained with Fewer Examples. CoRR abs/2112.03508 (2021) - 2020
- [j23]Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara:
Transfer Metric Learning for Unseen Domains. Data Sci. Eng. 5(2): 140-151 (2020) - [j22]Tomoharu Iwata, Machiko Toyoda, Shotaro Tora, Naonori Ueda:
Anomaly detection with inexact labels. Mach. Learn. 109(8): 1617-1633 (2020) - [c95]Tomoharu Iwata, Akinori Fujino, Naonori Ueda:
Semi-Supervised Learning for Maximizing the Partial AUC. AAAI 2020: 4239-4246 - [c94]Tomoharu Iwata, Naoki Marumo:
Co-Occurrence Estimation from Aggregated Data with Auxiliary Information. AAAI 2020: 4247-4254 - [c93]Masanori Yamada, Heecheol Kim, Kosuke Miyoshi, Tomoharu Iwata, Hiroshi Yamakawa:
Disentangled Representations for Sequence Data using Information Bottleneck Principle. ACML 2020: 305-320 - [c92]Yosuke Higuchi, Naohiro Tawara, Atsunori Ogawa, Tomoharu Iwata, Tetsunori Kobayashi, Tetsuji Ogawa:
Noise-robust Attention Learning for End-to-End Speech Recognition. EUSIPCO 2020: 311-315 - [c91]Naohiro Tawara, Atsunori Ogawa, Tomoharu Iwata, Marc Delcroix, Tetsuji Ogawa:
Frame-Level Phoneme-Invariant Speaker Embedding for Text-Independent Speaker Recognition on Extremely Short Utterances. ICASSP 2020: 6799-6803 - [c90]Yasutoshi Ida, Sekitoshi Kanai, Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima:
Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance. ICML 2020: 4594-4603 - [c89]Heecheol Kim, Masanori Yamada, Kosuke Miyoshi, Tomoharu Iwata, Hiroshi Yamakawa:
Reinforcement Learning in Latent Action Sequence Space. IROS 2020: 5497-5503 - [c88]Tomoharu Iwata, Atsutoshi Kumagai:
Meta-learning from Tasks with Heterogeneous Attribute Spaces. NeurIPS 2020 - [c87]Hitoshi Shimizu, Takanori Hara, Tomoharu Iwata:
Deep Reinforcement Learning for Pedestrian Guidance. PRIMA 2020: 334-342 - [i26]Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara:
Semi-supervised Anomaly Detection on Attributed Graphs. CoRR abs/2002.12011 (2020) - [i25]Yuya Yoshikawa, Tomoharu Iwata:
Neural Generators of Sparse Local Linear Models for Achieving both Accuracy and Interpretability. CoRR abs/2003.06441 (2020) - [i24]Yasunori Akagi, Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda:
Probabilistic Optimal Transport based on Collective Graphical Models. CoRR abs/2006.08866 (2020) - [i23]Yuya Yoshikawa, Tomoharu Iwata:
Gaussian Process Regression with Local Explanation. CoRR abs/2007.01669 (2020) - [i22]Tomoharu Iwata, Atsutoshi Kumagai:
Few-shot Learning for Time-series Forecasting. CoRR abs/2009.14379 (2020) - [i21]Tomoharu Iwata, Yusuke Tanaka:
Few-shot Learning for Spatial Regression. CoRR abs/2010.04360 (2020) - [i20]Tomoharu Iwata:
Meta-Active Learning for Node Response Prediction in Graphs. CoRR abs/2010.05387 (2020) - [i19]Takashi Wada, Tomoharu Iwata, Yuji Matsumoto, Timothy Baldwin, Jey Han Lau:
Learning Contextualised Cross-lingual Word Embeddings for Extremely Low-Resource Languages Using Parallel Corpora. CoRR abs/2010.14649 (2020) - [i18]Tomoharu Iwata, Yoshinobu Kawahara:
Neural Dynamic Mode Decomposition for End-to-End Modeling of Nonlinear Dynamics. CoRR abs/2012.06191 (2020)
2010 – 2019
- 2019
- [j21]Michael Hentschel, Marc Delcroix, Atsunori Ogawa, Tomoharu Iwata, Tomohiro Nakatani:
Feature Based Domain Adaptation for Neural Network Language Models with Factorised Hidden Layers. IEICE Trans. Inf. Syst. 102-D(3): 598-608 (2019) - [c86]Tomoharu Iwata, Hitoshi Shimizu:
Neural Collective Graphical Models for Estimating Spatio-Temporal Population Flow from Aggregated Data. AAAI 2019: 3935-3942 - [c85]Atsutoshi Kumagai, Tomoharu Iwata:
Unsupervised Domain Adaptation by Matching Distributions Based on the Maximum Mean Discrepancy via Unilateral Transformations. AAAI 2019: 4106-4113 - [c84]Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi:
Variational Autoencoder with Implicit Optimal Priors. AAAI 2019: 5066-5073 - [c83]Yusuke Tanaka, Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Kurashima, Maya Okawa, Hiroyuki Toda:
Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities. AAAI 2019: 5091-5099 - [c82]Takashi Wada, Tomoharu Iwata, Yuji Matsumoto:
Unsupervised Multilingual Word Embedding with Limited Resources using Neural Language Models. ACL (1) 2019: 3113-3124 - [c81]Shigeki Karita, Shinji Watanabe, Tomoharu Iwata, Marc Delcroix, Atsunori Ogawa, Tomohiro Nakatani:
Semi-supervised End-to-end Speech Recognition Using Text-to-speech and Autoencoders. ICASSP 2019: 6166-6170 - [c80]Michael Hentschel, Marc Delcroix, Atsunori Ogawa, Tomoharu Iwata, Tomohiro Nakatani:
A Unified Framework for Feature-based Domain Adaptation of Neural Network Language Models. ICASSP 2019: 7250-7254 - [c79]Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara:
Transfer Metric Learning for Unseen Domains. ICDM 2019: 1168-1173 - [c78]Takuma Otsuka, Hitoshi Shimizu, Tomoharu Iwata, Futoshi Naya, Hiroshi Sawada, Naonori Ueda:
Bayesian Optimization for Crowd Traffic Control Using Multi-Agent Simulation. ITSC 2019: 1981-1988 - [c77]Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda:
Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information. KDD 2019: 373-383 - [c76]Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara:
Transfer Anomaly Detection by Inferring Latent Domain Representations. NeurIPS 2019: 2467-2477 - [c75]Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda:
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs. NeurIPS 2019: 3000-3010 - [c74]Yuki Yamanaka, Tomoharu Iwata, Hiroshi Takahashi, Masanori Yamada, Sekitoshi Kanai:
Autoencoding Binary Classifiers for Supervised Anomaly Detection. PRICAI (2) 2019: 647-659 - [i17]Yuki Yamanaka, Tomoharu Iwata, Hiroshi Takahashi, Masanori Yamada, Sekitoshi Kanai:
Autoencoding Binary Classifiers for Supervised Anomaly Detection. CoRR abs/1903.10709 (2019) - [i16]Tomoharu Iwata, Yuki Yamanaka:
Supervised Anomaly Detection based on Deep Autoregressive Density Estimators. CoRR abs/1904.06034 (2019) - [i15]Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda:
Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information. CoRR abs/1906.08952 (2019) - [i14]Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda:
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs. CoRR abs/1907.08350 (2019) - [i13]Tomoharu Iwata, Machiko Toyoda, Shotaro Tora, Naonori Ueda:
Anomaly Detection with Inexact Labels. CoRR abs/1909.04807 (2019) - [i12]Tomoharu Iwata, Takuma Otsuka:
Efficient Transfer Bayesian Optimization with Auxiliary Information. CoRR abs/1909.07670 (2019) - 2018
- [j20]Tomoharu Iwata, Tsutomu Hirao, Naonori Ueda:
Topic Models for Unsupervised Cluster Matching. IEEE Trans. Knowl. Data Eng. 30(4): 786-795 (2018) - [c73]Michael Hentschel, Marc Delcroix, Atsunori Ogawa, Tomoharu Iwata, Tomohiro Nakatani:
Factorised Hidden Layer Based Domain Adaptation for Recurrent Neural Network Language Models. APSIPA 2018: 1940-1944 - [c72]Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda:
Few-shot learning of neural networks from scratch by pseudo example optimization. BMVC 2018: 105 - [c71]Tsuyoshi Morioka, Naohiro Tawara, Tetsuji Ogawa, Atsunori Ogawa, Tomoharu Iwata, Tetsunori Kobayashi:
Language Model Domain Adaptation Via Recurrent Neural Networks with Domain-Shared and Domain-Specific Representations. ICASSP 2018: 6084-6088 - [c70]Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi:
Student-t Variational Autoencoder for Robust Density Estimation. IJCAI 2018: 2696-2702 - [c69]Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda:
Estimating Latent People Flow without Tracking Individuals. IJCAI 2018: 3556-3563 - [c68]Shigeki Karita, Shinji Watanabe, Tomoharu Iwata, Atsunori Ogawa, Marc Delcroix:
Semi-Supervised End-to-End Speech Recognition. INTERSPEECH 2018: 2-6 - [c67]Atsutoshi Kumagai, Tomoharu Iwata:
Learning Dynamics of Decision Boundaries without Additional Labeled Data. KDD 2018: 1627-1636 - [c66]Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima:
On Reducing Dimensionality of Labeled Data Efficiently. PAKDD (3) 2018: 77-88 - [c65]Hitoshi Shimizu, Tatsushi Matsubayashi, Yusuke Tanaka, Tomoharu Iwata, Naonori Ueda, Hiroshi Sawada:
Improving Route Traffic Estimation by Considering Staying Population. PRIMA 2018: 630-637 - [i11]Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda:
Imitation networks: Few-shot learning of neural networks from scratch. CoRR abs/1802.03039 (2018) - [i10]Atsutoshi Kumagai, Tomoharu Iwata:
Zero-shot Domain Adaptation without Domain Semantic Descriptors. CoRR abs/1807.02927 (2018) - [i9]Takashi Wada, Tomoharu Iwata:
Unsupervised Cross-lingual Word Embedding by Multilingual Neural Language Models. CoRR abs/1809.02306 (2018) - [i8]Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi:
Variational Autoencoder with Implicit Optimal Priors. CoRR abs/1809.05284 (2018) - [i7]Yusuke Tanaka, Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Kurashima, Maya Okawa, Hiroyuki Toda:
Refining Coarse-grained Spatial Data using Auxiliary Spatial Data Sets with Various Granularities. CoRR abs/1809.07952 (2018) - [i6]Tomoharu Iwata, Naonori Ueda:
Unsupervised Object Matching for Relational Data. CoRR abs/1810.03770 (2018) - [i5]Tomoharu Iwata, Takuma Otsuka, Hitoshi Shimizu, Hiroshi Sawada, Futoshi Naya, Naonori Ueda:
Finding Appropriate Traffic Regulations via Graph Convolutional Networks. CoRR abs/1810.09712 (2018) - 2017
- [j19]Tomoharu Iwata, Motonobu Kanagawa, Tsutomu Hirao, Kenji Fukumizu:
Unsupervised group matching with application to cross-lingual topic matching without alignment information. Data Min. Knowl. Discov. 31(2): 350-370 (2017) - [j18]Tomoharu Iwata, Katsuhiko Ishiguro:
Robust unsupervised cluster matching for network data. Data Min. Knowl. Discov. 31(4): 1132-1154 (2017) - [j17]Tomoharu Iwata, Hitoshi Shimizu, Futoshi Naya, Naonori Ueda:
Estimating People Flow from Spatiotemporal Population Data via Collective Graphical Mixture Models. ACM Trans. Spatial Algorithms Syst. 3(1): 2:1-2:18 (2017) - [c64]Hideaki Kim, Tomoharu Iwata, Yasuhiro Fujiwara, Naonori Ueda:
Read the Silence: Well-Timed Recommendation via Admixture Marked Point Processes. AAAI 2017: 132-139 - [c63]Atsutoshi Kumagai, Tomoharu Iwata:
Learning Non-Linear Dynamics of Decision Boundaries for Maintaining Classification Performance. AAAI 2017: 2117-2123 - [c62]Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski:
Localized Lasso for High-Dimensional Regression. AISTATS 2017: 325-333 - [c61]Hiroto Ashikawa, Naohiro Tawara, Atsunori Ogawa, Tomoharu Iwata, Tetsunori Kobayashi, Tetsuji Ogawa:
Exploiting end of sentences and speaker alternations in language modeling for multiparty conversations. APSIPA 2017: 1263-1267 - [c60]Tomohiko Nakmaura, Tomoharu Iwata, Kenji Yamanishi:
Latent Dimensionality Estimation for Probabilistic Canonical Correlation Analysis Using Normalized Maximum Likelihood Code-Length. DSAA 2017: 716-725 - [c59]Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda:
SVD-Based Screening for the Graphical Lasso. IJCAI 2017: 1682-1688 - [c58]Atsutoshi Kumagai, Tomoharu Iwata:
Learning Latest Classifiers without Additional Labeled Data. IJCAI 2017: 2039-2045 - [c57]Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima:
Robust Multi-view Topic Modeling by Incorporating Detecting Anomalies. ECML/PKDD (2) 2017: 238-250 - [c56]Koh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata:
Structurally Regularized Non-negative Tensor Factorization for Spatio-Temporal Pattern Discoveries. ECML/PKDD (1) 2017: 582-598 - [c55]Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda:
Scaling Locally Linear Embedding. SIGMOD Conference 2017: 1479-1492 - 2016
- [j16]Tomoharu Iwata, Tsutomu Hirao, Naonori Ueda:
Probabilistic latent variable models for unsupervised many-to-many object matching. Inf. Process. Manag. 52(4): 682-697 (2016) - [j15]Tomoharu Iwata, James Robert Lloyd, Zoubin Ghahramani:
Unsupervised Many-to-Many Object Matching for Relational Data. IEEE Trans. Pattern Anal. Mach. Intell. 38(3): 607-617 (2016) - [c54]Atsutoshi Kumagai, Tomoharu Iwata:
Learning Future Classifiers without Additional Data. AAAI 2016: 1772-1778 - [c53]Takuya Konishi, Tomoharu Iwata, Kohei Hayashi, Ken-ichi Kawarabayashi:
Identifying Key Observers to Find Popular Information in Advance. IJCAI 2016: 3761-3767 - [c52]Tomoharu Iwata, Makoto Yamada:
Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models. NIPS 2016: 1136-1144 - [c51]Yusuke Tanaka, Takeshi Kurashima, Yasuhiro Fujiwara, Tomoharu Iwata, Hiroshi Sawada:
Inferring Latent Triggers of Purchases with Consideration of Social Effects and Media Advertisements. WSDM 2016: 543-552 - [i4]Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski:
Sparse Network Lasso for Local High-dimensional Regression. CoRR abs/1603.06743 (2016) - 2015
- [c50]Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada:
Non-Linear Regression for Bag-of-Words Data via Gaussian Process Latent Variable Set Model. AAAI 2015: 3129-3135 - [c49]Tomoharu Iwata, Koh Takeuchi:
Cross-domain recommendation without shared users or items by sharing latent vector distributions. AISTATS 2015 - [c48]Naonori Ueda, Futoshi Naya, Hitoshi Shimizu, Tomoharu Iwata, Maya Okawa, Hiroshi Sawada:
Real-time and proactive navigation via spatio-temporal prediction. UbiComp/ISWC Adjunct 2015: 1559-1566 - [c47]Tsuyoshi Morioka, Tomoharu Iwata, Takaaki Hori, Tetsunori Kobayashi:
Multiscale recurrent neural network based language model. INTERSPEECH 2015: 2366-2370 - [c46]Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada, Takeshi Yamada:
Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions. NIPS 2015: 1405-1413 - [c45]Koh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata:
Higher Order Fused Regularization for Supervised Learning with Grouped Parameters. ECML/PKDD (1) 2015: 577-593 - 2014
- [j14]Akisato Kimura, Kevin Duh, Tsutomu Hirao, Katsuhiko Ishiguro, Tomoharu Iwata, Albert Au Yeung:
Creating Stories from Socially Curated Microblog Messages. IEICE Trans. Inf. Syst. 97-D(6): 1557-1566 (2014) - [c44]Takeshi Kurashima, Tomoharu Iwata, Noriko Takaya, Hiroshi Sawada:
Probabilistic latent network visualization: inferring and embedding diffusion networks. KDD 2014: 1236-1245 - [c43]Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada:
Latent Support Measure Machines for Bag-of-Words Data Classification. NIPS 2014: 1961-1969 - [c42]Masakazu Ishihata, Tomoharu Iwata:
Generating structure of latent variable models for nested data. UAI 2014: 350-359 - [i3]Tomoharu Iwata, David Duvenaud, Zoubin Ghahramani:
Warped Mixtures for Nonparametric Cluster Shapes. CoRR abs/1408.2061 (2014) - [i2]Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada:
Collaboration on Social Media: Analyzing Successful Projects on Social Coding. CoRR abs/1408.6012 (2014) - [i1]Tomoharu Iwata, Makoto Yamada:
Multi-view Anomaly Detection via Probabilistic Latent Variable Models. CoRR abs/1411.3413 (2014) - 2013
- [j13]Tomoharu Iwata, Hiroshi Sawada:
Topic model for analyzing purchase data with price information. Data Min. Knowl. Discov. 26(3): 559-573 (2013) - [j12]Takeshi Kurashima, Tomoharu Iwata, Go Irie, Ko Fujimura:
Travel route recommendation using geotagged photos. Knowl. Inf. Syst. 37(1): 37-60 (2013) - [j11]Tomoharu Iwata, Shinji Watanabe:
Influence relation estimation based on lexical entrainment in conversation. Speech Commun. 55(2): 329-339 (2013) - [j10]Tomoharu Iwata, Takeshi Yamada, Naonori Ueda:
Modeling Noisy Annotated Data with Application to Social Annotation. IEEE Trans. Knowl. Data Eng. 25(7): 1601-1613 (2013) - [j9]Kevin Duh, Ching-man Au Yeung, Tomoharu Iwata, Masaaki Nagata:
Managing information disparity in multilingual document collections. ACM Trans. Speech Lang. Process. 10(1): 1:1-1:28 (2013) - [c41]Tomoharu Iwata, Tsutomu Hirao, Naonori Ueda:
Unsupervised Cluster Matching via Probabilistic Latent Variable Models. AAAI 2013: 445-451 - [c40]Tsutomu Hirao, Tomoharu Iwata, Masaaki Nagata:
Latent Semantic Matching: Application to Cross-language Text Categorization without Alignment Information. ACL (2) 2013: 212-216 - [c39]Tomoharu Iwata, Neil Houlsby, Zoubin Ghahramani:
Active Learning for Interactive Visualization. AISTATS 2013: 342-350 - [c38]Yutaka Kabutoya, Tomoharu Iwata, Hiroyuki Toda, Hiroyuki Kitagawa:
A Probabilistic Model for Diversifying Recommendation Lists. APWeb 2013: 348-359 - [c37]Alejandro Marcos Alvarez, Makoto Yamada, Akisato Kimura, Tomoharu Iwata:
Clustering-based anomaly detection in multi-view data. CIKM 2013: 1545-1548 - [c36]Takeshi Kurashima, Tomoharu Iwata, Noriko Takaya, Hiroshi Sawada:
A Probabilistic Behavior Model for Discovering Unrecognized Knowledge. ICDM 2013: 1097-1102 - [c35]Tomoharu Iwata, Amar Shah, Zoubin Ghahramani:
Discovering latent influence in online social activities via shared cascade poisson processes. KDD 2013: 266-274 - [c34]Tomoharu Iwata, David Duvenaud, Zoubin Ghahramani:
Warped Mixtures for Nonparametric Cluster Shapes. UAI 2013 - [c33]Takeshi Kurashima, Tomoharu Iwata, Takahide Hoshide, Noriko Takaya, Ko Fujimura:
Geo topic model: joint modeling of user's activity area and interests for location recommendation. WSDM 2013: 375-384 - 2012
- [j8]Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, Naonori Ueda:
Sequential Modeling of Topic Dynamics with Multiple Timescales. ACM Trans. Knowl. Discov. Data 5(4): 19:1-19:27 (2012) - [c32]Roland Roller, Shinji Watanabe, Tomoharu Iwata:
Effect of dialog acts on word use in polylogue. ICASSP 2012: 4969-4972 - [c31]Ekapol Chuangsuwanich, Shinji Watanabe, Takaaki Hori, Tomoharu Iwata, James R. Glass:
Handling uncertain observations in unsupervised topic-mixture language model adaptation. ICASSP 2012: 5033-5036 - [c30]Kevin Duh, Tsutomu Hirao, Akisato Kimura, Katsuhiko Ishiguro, Tomoharu Iwata, Ching-man Au Yeung:
Creating Stories: Social Curation of Twitter Messages. ICWSM 2012 - [c29]Yasuko Matsubara, Yasushi Sakurai, Christos Faloutsos, Tomoharu Iwata, Masatoshi Yoshikawa:
Fast mining and forecasting of complex time-stamped events. KDD 2012: 271-279 - [c28]Tomoharu Iwata, Kevin Duh:
Bidirectional Semi-supervised Learning with Graphs. ECML/PKDD (2) 2012: 293-306 - [c27]Yutaka Kabutoya, Róbert Sumi, Tomoharu Iwata, Toshio Uchiyama, Tadasu Uchiyama:
A Topic Model for Recommending Movies via Linked Open Data. Web Intelligence 2012: 625-630 - 2011
- [j7]Shinji Watanabe, Tomoharu Iwata, Takaaki Hori, Atsushi Sako, Yasuo Ariki:
Topic tracking language model for speech recognition. Comput. Speech Lang. 25(2): 440-461 (2011) - [j6]Tomoharu Iwata, Tomoko Kojiri, Takeshi Yamada, Toyohide Watanabe:
Recommendation for English multiple-choice cloze questions based on expected test scores. Int. J. Knowl. Based Intell. Eng. Syst. 15(1): 15-24 (2011) - [j5]Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Yamada, Naonori Ueda:
Improving Classifier Performance Using Data with Different Taxonomies. IEEE Trans. Knowl. Data Eng. 23(11): 1668-1677 (2011) - [c26]Yasuhisa Yoshida, Tsutomu Hirao, Tomoharu Iwata, Masaaki Nagata, Yuji Matsumoto:
Transfer Learning for Multiple-Domain Sentiment Analysis - Identifying Domain Dependent/Independent Word Polarity. AAAI 2011: 1286-1291 - [c25]Ching-man Au Yeung, Tomoharu Iwata:
Extracting multi-dimensional relations: a generative model of groups of entities in a corpus. CIKM 2011: 1203-1208 - [c24]Ching-man Au Yeung, Tomoharu Iwata:
Modelling User Behaviour and Interactions: Augmented Cognition on the Social Web. HCI (20) 2011: 277-287 - [c23]Tomoharu Iwata, Shinji Watanabe, Hiroshi Sawada:
Fashion Coordinates Recommender System Using Photographs from Fashion Magazines. IJCAI 2011: 2262-2267 - [c22]Tomoharu Iwata, Shinji Watanabe:
Learning Influences from Word Use in Polylogue. INTERSPEECH 2011: 3089-3092 - [c21]Kevin Duh, Katsuhito Sudoh, Tomoharu Iwata, Hajime Tsukada:
Alignment Inference and Bayesian Adaptation for Machine Translation. MTSummit 2011 - [c20]Ching-man Au Yeung, Tomoharu Iwata:
Strength of social influence in trust networks in product review sites. WSDM 2011: 495-504 - 2010
- [j4]Takuya Goto, Tomoko Kojiri, Toyohide Watanabe, Tomoharu Iwata, Takeshi Yamada:
Knowledge network for English grammar learning support system. Int. J. Adv. Intell. Paradigms 2(1): 64-77 (2010) - [c19]Tomoharu Iwata, Daichi Mochihashi, Hiroshi Sawada:
Learning Common Grammar from Multilingual Corpus. ACL (2) 2010: 184-188 - [c18]Takeshi Kurashima, Tomoharu Iwata, Go Irie, Ko Fujimura:
Travel route recommendation using geotags in photo sharing sites. CIKM 2010: 579-588 - [c17]Ching-man Au Yeung, Tomoharu Iwata:
Capturing implicit user influence in online social sharing. HT 2010: 245-254 - [c16]Yutaka Kabutoya, Tomoharu Iwata, Hisako Shiohara, Ko Fujimura:
Effective Question Recommendation Based on Multiple Features for Question Answering Communities. ICWSM 2010 - [c15]Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, Naonori Ueda:
Online multiscale dynamic topic models. KDD 2010: 663-672 - [c14]Katsuhiko Ishiguro, Tomoharu Iwata, Naonori Ueda, Joshua B. Tenenbaum:
Dynamic Infinite Relational Model for Time-varying Relational Data Analysis. NIPS 2010: 919-927 - [c13]Shinji Watanabe, Tomoharu Iwata, Takaaki Hori, Atsushi Sako, Yasuo Ariki:
Application of topic tracking model to language model adaptation and meeting analysis. SLT 2010: 378-383 - [c12]Yutaka Kabutoya, Tomoharu Iwata, Ko Fujimura:
Modeling Multiple Users' Purchase over a Single Account for Collaborative Filtering. WISE 2010: 328-341
2000 – 2009
- 2009
- [c11]Tomoharu Iwata, Shinji Watanabe, Takeshi Yamada, Naonori Ueda:
Topic Tracking Model for Analyzing Consumer Purchase Behavior. IJCAI 2009: 1427-1432 - [c10]Tomoharu Iwata, Takeshi Yamada, Naonori Ueda:
Modeling Social Annotation Data with Content Relevance using a Topic Model. NIPS 2009: 835-843 - 2008
- [j3]Tomoharu Iwata, Kazumi Saito, Takeshi Yamada:
Recommendation Method for Improving Customer Lifetime Value. IEEE Trans. Knowl. Data Eng. 20(9): 1254-1263 (2008) - [c9]Tomoharu Iwata, Takeshi Yamada, Naonori Ueda:
Probabilistic latent semantic visualization: topic model for visualizing documents. KDD 2008: 363-371 - [c8]Takuya Goto, Tomoko Kojiri, Toyohide Watanabe, Takeshi Yamada, Tomoharu Iwata:
English Grammar Learning System Based on Knowledge Network of Fill-in-the-Blank Exercises. KES (3) 2008: 588-595 - [c7]Tomoharu Iwata, Tomoko Kojiri, Takeshi Yamada, Toyohide Watanabe:
Recommendation Algorithm for Learning Materials That Maximizes Expected Test Scores. PRICAI 2008: 965-970 - 2007
- [j2]Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum:
Parametric Embedding for Class Visualization. Neural Comput. 19(9): 2536-2556 (2007) - [c6]Masahide Kakehi, Tomoko Kojiri, Toyohide Watanabe, Takeshi Yamada, Tomoharu Iwata:
Organization of Discussion Knowledge Graph from Collaborative Learning Record. KES (3) 2007: 600-607 - [c5]Tomoharu Iwata, Kazumi Saito, Takeshi Yamada:
Modeling user behavior in recommender systems based on maximum entropy. WWW 2007: 1281-1282 - 2006
- [c4]Tomoharu Iwata, Kazumi Saito, Naonori Ueda:
Visual nonlinear discriminant analysis for classifier design. ESANN 2006: 283-288 - [c3]Tomoharu Iwata, Kazumi Saito, Takeshi Yamada:
Recommendation method for extending subscription periods. KDD 2006: 574-579 - 2005
- [j1]Tomoharu Iwata, Kazumi Saito:
Visualization of Anomalies Using Mixture Models. J. Intell. Manuf. 16(6): 635-643 (2005) - 2004
- [c2]Tomoharu Iwata, Kazumi Saito:
Visualisation of Anomaly Using Mixture Model. KES 2004: 624-631 - [c1]Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum:
Parametric Embedding for Class Visualization. NIPS 2004: 617-624
Coauthor Index
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