Tomoharu Iwata

Japanese | English

Tomoharu Iwata
NTT Communication Science Laboratories
NIPPON TELEGRAPH AND TELEPHONE CORPORATION

mail: tomoharu.iwata.gy at hco.ntt.co.jp

He received the B.S. degree in environmental information from Keio University in 2001, the M.S. degree in arts and sciences from the University of Tokyo in 2003, and the Ph.D. degree in informatics from Kyoto University in 2008. In 2003, he joined NTT Communication Science Laboratories, Japan. From 2012 to 2013, he was a visiting researcher at Machine Learning Group, Department of Engineering, University of Cambridge, UK. He is currently a senior distinguished researcher at NTT Communication Science Laboratories, Kyoto, Japan. His research interests include data mining, machine learning, information visualization, and recommender systems.

International Conference

  1. Tomoharu Iwata, Yusuke Tanaka,
    Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics,
    International Joint Conference on Artificial Intelligence (IJCAI), 2024

  2. Tomoharu Iwata, Ryo Nishikimi, Ryohei Shibue, Masahiro Nakano, Kunio Kashino, Hitonobu Tomoike,
    Electrocardiographic Classification using Deep Learning with Lead Switching,
    International Engineering in Medicine and Biology Conference (EMBC), 2024

  3. Yuya Yoshikawa, Tomoharu Iwata,
    Explanation-Based Training With Differentiable Insertion/Deletion Metric-Aware Regularizers,
    International Conference on Artificial Intelligence and Statistics (AISTATS), 2024

  4. Futoshi Futami, Tomoharu Iwata,
    Information-theoretic Analysis of Bayesian Test Data Sensitivity,
    International Conference on Artificial Intelligence and Statistics (AISTATS), 2024

  5. Masahiro Nakano, Hiroki Sakuma, Ryo Nishikimi, Ryohei Shibue, Takashi Sato, Tomoharu Iwata, Kunio Kashino,
    Warped Diffusion for Latent Differentiation Inference,
    International Conference on Artificial Intelligence and Statistics (AISTATS), 2024

  6. Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara,
    Zero-Shot Task Adaptation with Relevant Feature Information,
    AAAI Conference on Artificial Intelligence (AAAI), 2024

  7. Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Yasuhiro Fujiwara,
    Meta-learning for Robust Unsupervised Anomaly Detection,
    International Conference on Artificial Intelligence and Statistics (AISTATS), 2023

  8. Takeshi Kurashima, Tomoharu Iwata, Tomu Tominaga, Shuhei Yamamoto, Hiroyuki Toda, Kazuhisa Takemura,
    Personal History Affects Reference Points: A Case Study of Codeforces,
    International Conference on Web and Social Media (ICWSM), 2023
    (Outstanding User Modeling Paper Award)

  9. Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada, Keiichi Yasumoto,
    School Families: A New Formulation of School District Planning Problem,
    Hawaii International Conference on System Sciences (HICSS), 2023

  10. Tomoharu Iwata, Atsutoshi Kumagai,
    Sharing Knowledge for Meta-learning with Feature Descriptions,
    Neural Information Processing Systems (NeurIPS), 2022

  11. Yusuke Tanaka, Tomoharu Iwata, Naonori Ueda,
    Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data,
    Neural Information Processing Systems (NeurIPS), 2022

  12. Atsutoshi Kumagai, Tomoharu Iwata, Yasutoshi Ida, Yasuhiro Fujiwara,
    Meta-learning for Feature Selection with Hilbert-Schmidt Independence Criterion,
    Neural Information Processing Systems (NeurIPS), 2022

  13. Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai, Sekitoshi Kanai, Masanori Yamada, Yuuki Yamanaka, Hisashi Kashima,
    Learning Optimal Priors for Task-Invariant Representations in Variational Autoencoders,
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2022

  14. Maya Okawa, Tomoharu Iwata,
    Predicting Opinion Dynamics via Sociologically-Informed Neural Networks,
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2022

  15. Atsutoshi Kumagai, Tomoharu Iwata, Taishi Nishiyama, Yasuhiro Fujiwara,
    Transfer Anomaly Detection for Maximizing the Partial AUC,
    International Joint Conference on Neural Networks (IJCNN), 2022

  16. Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama,
    Predictive variational Bayesian inference as risk-seeking optimization,
    International Conference on Artificial Intelligence and Statistics (AISTATS), 2022

  17. Keisuke Kinoshita, Marc Delcroix, Tomoharu Iwata,
    Tight integration of neural- and clustering-based diarization through deep unfolding of infinite Gaussian mixture model,
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022

  18. Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada, Keiichi Yasumoto,
    Evacuation Shelter Scheduling Problem,
    Hawaii International Conference on System Sciences (HICSS), 2022

  19. Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara,
    Meta-Learning for Relative Density-Ratio Estimation,
    Neural Information Processing Systems (NeurIPS), 2021

  20. Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama,
    Loss function based second-order Jensen inequality and its application to particle variational inference,
    Neural Information Processing Systems (NeurIPS), 2021

  21. Ryohei Shibue, Masahiro Nakano, Tomoharu Iwata, Kunio Kashino, Hitonobu Tomoike,
    Unsupervised Heart Sound Decomposition and State Estimation with Generative Oscillation Models,
    International Engineering in Medicine and Biology Conference (EMBC), 2021

  22. Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Ikko Yamane,
    Skew-symmetrically perturbed gradient flow for convex optimization,
    Asian Conference on Machine Learning (ACML), 2021

  23. Takashi Wada, Tomoharu Iwata, Yuji Matsumoto, Timothy Baldwin, Jey Han Lau,
    Learning Contextualised Cross-lingual Word Embeddings and Alignments for Extremely Low-Resource Languages Using Parallel Corpora,
    Workshop on Multilingual Representation Learning colocated with EMNLP, 2021
    (Best Paper Award)

  24. Tomoharu Iwata, Yoshinobu Kawahara,
    Controlling Nonlinear Dynamical Systems with Linear Quadratic Regulator-based Policy Networks in Koopman space,
    IEEE Conference on Decision and Control (CDC), 2021
    [pdf]

  25. Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima,
    Dynamic Hawkes Processes for Discovering Time-evolving Communitiesf States behind Diffusion Processes,
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2022

  26. Atsutoshi Kumagai, Tomoharu Iwata and Yasuhiro Fujiwara,
    Semi-supervised Anomaly Detection on Attributed Graphs,
    International Joint Conference on Neural Networks (IJCNN), 2021

  27. Kengo Tajiri, Tomoharu Iwata, Yoichi Matsuo, Keishiro Watanabe,
    Fault Detection of ICT systems with Deep Learning Model for Missing Data,
    IFIP/IEEE International Symposium on Integrated Network Management, 2021

  28. Makoto Morishita, Jun Suzuki, Tomoharu Iwata, Masaaki Nagata,
    Context-aware Neural Machine Translation with Mini-batch Embedding,
    Conference of the European Chapter of the Association for Computational Linguistics (EACL), April 2021

  29. Tomoharu Iwata, Atsutoshi Kumagai,
    Meta-learning from Tasks with Heterogeneous Attribute Spaces,
    Neural Information Processing Systems (NeurIPS), 2020
    [pdf]

  30. Masanori Yamada, Heecheol Kim, Kosuke Miyoshi, Tomoharu Iwata, Hiroshi Yamakawa,
    Disentangled Representations for Sequence Data using Information Bottleneck Principle,
    Asian Conference on Machine Learning (ACML), 2020

  31. Noise-robust Attention Learning for End-to-End Speech Recognition,
    Yosuke Higuchi, Naohiro Tawara, Atsunori Ogawa, Tomoharu Iwata, Tetsunori Kobayashi, Tetsuji Ogawa,
    European Conference on Signal Processing (EUSIPCO), 2020

  32. Yasutoshi Ida, Sekitoshi Kanai,Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima,
    Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance,
    International Conference on Machine Learning (ICML), 2020

  33. Heecheol Kim, Masanori Yamada, Kosuke Miyoshi, Tomoharu Iwata, Hiroshi Yamakawa,
    Reinforcement Learning in Latent Action Sequence Space,
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020

  34. 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,
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020

  35. Tomoharu Iwata, Akinori Fujino, Naonori Ueda,
    Semi-supervised Learning for Maximizing the Partial AUC,
    AAAI Conference on Artificial Intelligence (AAAI), 2020
    [pdf]

  36. Tomoharu Iwata, Naoki Marumo,
    Co-occurrence Estimation from Aggregated Data with Auxiliary Information,
    AAAI Conference on Artificial Intelligence (AAAI), 2020
    [pdf]

  37. Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara,
    Transfer Anomaly Detection by Inferring Latent Domain Representations,
    Neural Information Processing Systems (NeurIPS), 2019

  38. Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda,
    Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs,
    Neural Information Processing Systems (NeurIPS), 2019

  39. Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara,
    Transfer Metric Learning for Unseen Domains,
    IEEE International Conference on Data Mining (ICDM), 2019

  40. Takuma Otsuka, Hitoshi Shimizu, Tomoharu Iwata, Futoshi Naya, Hiroshi Sawada, Naonori Ueda,
    Bayesian Optimization for Crowd Traffic Control Using Multi-Agent Simulation,
    Intelligent Transportation Systems Conference (ITSC), 2019

  41. Yuki Yamanaka, Tomoharu Iwata, Hiroshi Takahashi, Masanori Yamada, Sekitoshi Kanai,
    Autoencoding Binary Classifiers for Supervised Anomaly Detection,
    Pacific Rim International Conference on Artificial Intelligence (PRICAI), (2) 647-659, 2019

  42. Takashi Wada, Tomoharu Iwata, Yuji Matsumoto,
    Unsupervised Multilingual Word Embedding with Limited Resources using Neural Language Models,
    Annual Meeting of the Association for Computational Linguistics (ACL), 2019

  43. Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda,
    Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information,
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019

  44. 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,
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019

  45. Michael Hentschel, Marc Delcroix, Atsunori Ogawa, Tomoharu Iwata, Tomohiro Nakatani,
    A Unified Framework for Feature-based Domain Adaptation of Neural Network Language Models,
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019

  46. Atsutoshi Kumagai, Tomoharu Iwata,
    Unsupervised Domain Adaptation by Matching Distributions based on the Maximum Mean Discrepancy via Unilateral Transformations,
    AAAI Conference on Artificial Intelligence (AAAI), 2019

  47. 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 Conference on Artificial Intelligence (AAAI), 2019

  48. Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi,
    Variational Autoencoder with Implicit Optimal Priors,
    AAAI Conference on Artificial Intelligence (AAAI), 2019

  49. Tomoharu Iwata, Hitoshi Shimizu,
    Neural Collective Graphical Models for Estimating Spatio-temporal Population Flow from Aggregated Data,
    AAAI Conference on Artificial Intelligence (AAAI), 2019
    [pdf]

  50. Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda,
    Few-shot learning of neural networks from scratch by pseudo example optimization,
    British Machine Vision Conference (BMVC), 2018

  51. Hitoshi Shimizu, Tatsushi Matsubayashi, Yusuke Tanaka, Tomoharu Iwata, Naonori Ueda, Hiroshi Sawada,
    Improving Route Traffic Estimation by Considering Staying Population,
    International Conference on Principles and Practice of Multi-Agent Systems (PRIMA), 630-637, 2018

  52. Michael Hentschel, Marc Delcroix, Atsunori Ogawa, Tomoharu Iwata, Tomohiro Nakatani,
    Factorised hidden layer based domain adaptation for recurrent neural network language models,
    Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2018

  53. Atsutoshi Kumagai, Tomoharu Iwata,
    Learning Dynamics of Decision Boundaries without Additional Labeled Data,
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2018

  54. Shigeki Karita, Shinji Watanabe, Tomoharu Iwata, Atsunori Ogawa, Marc Delcroix,
    Semi-Supervised End-to-End Speech Recognition,
    Interspeech, 2018

  55. Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi,
    Student-t Variational Autoencoder for Robust Density Estimation,
    International Joint Conference on Artificial Intelligence and European Conference on Artificial Intelligence (IJCAI-ECAI), July 2018

  56. Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda,
    Estimating Latent People Flow without Tracking Individuals,
    International Joint Conference on Artificial Intelligence and European Conference on Artificial Intelligence (IJCAI-ECAI), July 2018

  57. 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,
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018

  58. Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima,
    On Reducing Dimensionality of Labeled Data Efficiently,
    Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2018

  59. 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,
    Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2017

  60. Koh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata,
    Structurally Regularized Non-negative Tensor Factorization for Spatio-temporal Pattern Discoveries,
    European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2017

  61. Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima,
    Robust Multi-view Topic Modeling by Incorporating Detecting Anomalies,
    European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2017

  62. Atsutoshi Kumagai, Tomoharu Iwata,
    Learning Latest Classifiers without Additional Labeled Data,
    International Joint Conference on Artificial Intelligence (IJCAI), 2017

  63. Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda,
    SVD-Based Screening for the Graphical Lasso,
    International Joint Conference on Artificial Intelligence (IJCAI), 2017

  64. Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda,
    Scaling Locally Linear Embedding,
    International Conference on Management of Data (SIGMOD), 2017

  65. Makoto Yamada, Takeuchi Koh, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski,
    Localized Lasso for High-Dimensional Regression,
    International Conference on Artificial Intelligence and Statistics (AISTATS), 2017

  66. Atsutoshi Kumagai, Tomoharu Iwata,
    Learning Non-linear Dynamics of Decision Boundaries for Maintaining Classification Performance,
    AAAI Conference on Artificial Intelligence (AAAI), 2017

  67. Hideaki Kim, Tomoharu Iwata, Yasuhiro Fujiwara, Naonori Ueda,
    Read the Silence: Well-timed Recommendation via Admixture Marked Point Processes,
    AAAI Conference on Artificial Intelligence (AAAI), 2017

  68. Tomoharu Iwata, Makoto Yamada,
    Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models,
    Neural Information Processing Systems (NIPS), 2016
    [pdf]

  69. Takuya Konishi, Tomoharu Iwata, Kohei Hayashi and Ken-Ichi Kawarabayashi,
    Ideyintifying Key Observers to Find Popular Information in Advance,
    International Joint Conference on Artificial Intelligence (IJCAI), 2016

  70. Atsutoshi Kumagai, Tomoharu Iwata,
    Learning Future Classifiers without Additional Data,
    AAAI Conference on Artificial Intelligence (AAAI), 2016

  71. Yusuke Tanaka, Takeshi Kurashima, Yasuhiro Fujiwara, Tomoharu Iwata, Hiroshi Sawada,
    Inferring Latent Triggers of Purchases with Consideration of Social Effects and Media Advertisements,
    ACM International Conference on Web Search and Data Mining (WSDM), 2016

  72. Tomoharu Iwata, Naonori Ueda,
    Visualizing Intrinsic Space for Spatial Data via Input Regularized Gaussian Process Latent Variable Models,
    Processing Techniques & Applications (PDPTA), 2016
    [pdf]

  73. Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada, Takeshi Yamada,
    Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions,
    Neural Information Processing Systems (NIPS), 2015

  74. Naonori Ueda, Futoshi Naya, Hitoshi Shimizu, Tomoharu Iwata, Maya Okawa, Hiroshi Sawada
    Real-time and proactive navigation via spatio-temporal prediction,
    Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015

  75. Koh Takeuchi, Yoshinobu Kawahara, and Tomoharu Iwata,
    Higher Order Fused Regularization for Supervised Learning with Grouped Parameters,
    European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2015

  76. Yarin Gal, Tomoharu Iwata, Zoubin Ghahramani:
    An Infinite Product of Sparse Chinese Restaurant Processes,
    Conference on Bayesian Nonparametrics (BNP), 2015

  77. Tomoharu Iwata, Koh Takeuchi:
    Cross-domain recommendation without shared users or items by sharing latent vector distributions,
    International Conference on Artificial Intelligence and Statistics (AISTATS), 2015
    [pdf]

  78. Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada:
    Non-linear Regression for Bag-of-Words Data via Gaussian Process Latent Variable Set Model,
    AAAI Conference on Artificial Intelligence (AAAI), 2015

  79. Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada:
    Latent Support Measure Machines for Bag-of-Words Data Classification,
    Neural Information Processing Systems (NIPS), 2015

  80. Takeshi Kurashima, Tomoharu Iwata, Noriko Takaya, Hiroshi Sawada:
    Probabilistic Latent Network Visualization: Inferring and Embedding Diffusion Networks,
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2014

  81. Masakazu Ishihata, Tomoharu Iwata:
    Generating structure of latent variable models for nested data,
    Conference on Uncertainty in Artificial Intelligenc (UAI), 2014

  82. Takeshi Kurashima, Tomoharu Iwata, Noriko Takaya, Hiroshi Sawada:
    A Probabilistic Behavior Model for Discovering Unrecognized Knowledge,
    IEEE International Conference on Data Mining (ICDM), 2013

  83. Alejandro Marcos Alvarez, Makoto Yamada, Akisato Kimura, Tomoharu Iwata:
    Clustering-Based Anomaly Detection in Multi-View Data,
    ACM International Conference on Information and Knowledge Management (CIKM), poster, 2013

  84. Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada:
    Latent Feature Independent Cascade Model for Social Propagation,
    International Conference on Parallel & Distributed Processing Techniques & Applications (PDPTA), 2013

  85. Tomoharu Iwata, Amar Shah, Zoubin Ghahramani:
    Discovering Latent Influence in Online Social Activities via Shared Cascade Poisson Processes,
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 266-274, 2013
    [pdf]

  86. Tsutomu Hirao, Tomoharu Iwata, Masaaki Nagata:
    Latent Semantic Matching: Application to Cross-language Text Categorization without Alignment Information,
    Annual Meeting of the Association for Computational Linguistics (ACL), short, 2013

  87. Tomoharu Iwata, David Duvenaud, Zoubin Ghahramani:
    Warped Mixtures for Nonparametric Cluster Shapes,
    Conference on Uncertainty in Artificial Intelligenc (UAI), 2013
    [preprint]

  88. Tomoharu Iwata, Tsutomu Hirao, Naonori Ueda:
    Unsupervised Cluster Matching via Probabilistic Latent Variable Models,
    AAAI Conference on Artificial Intelligence (AAAI), 2013
    [pdf]

  89. Tomoharu Iwata, Neil Houlsby, Zoubin Ghahramani,
    Active Learning for Interactive Visualization,
    International Conference on Artificial Intelligence and Statistics (AISTATS), JMLR W&CP 31:342-350, 2013
    [pdf]

  90. 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,
    ACM International Conference on Web Search and Data Mining (WSDM), 375-384, 2013

  91. Yutaka Kabutoya, Tomoharu Iwata, Hiroyuki Toda, Hiroyuki Kitagawa:
    A Probabilistic Model for Diversifying Recommendation Lists,
    Asia-Pacific Web Conference (APWeb), April 2013

  92. Tomoharu Iwata, Kevin Duh,
    Bidirectional Semi-Supervised Learning with Graphs,
    European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 293-306, 2012
    [pdf]

  93. Yutaka Kabutoya, Robert Sumi, Tomoharu Iwata, Toshio Uchiyama, Ko Fujimura:
    A Topic Model for Recommending Movies via Linked Open Data,
    International Conference on Web Information Systems Engineering (WISE), 625-630, 2012

  94. Yasuko Matsubara, Yasushi Sakurai, Christos Faloutsos, Tomoharu Iwata, Masatoshi Yoshikawa:
    Fast Mining and Forecasting of Complex Time-Stamped Events,
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 271-279, 2012

  95. Kevin Duh, Tsutomo Hirao, Akisato Kimura, Katsuhiko Ishiguro, Tomoharu Iwata, Ching-Man Au Yeung,
    Creating Stories: Social Curation of Twitter Messages,
    International AAAI Conference on Weblogs and Social Media (ICWSM), Dublin, Ireland, 2012

  96. Ekapol Chuangsuwanich, Shinji Watanabe, Takaaki Hori, Tomoharu Iwata, James Glass,
    Handling Uncertain Observations in Unsupervised Topic-mixture Language Model Adaptation,
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012

  97. Roland Roller, Shinji Watanabe, Tomoharu Iwata,
    Effect of Dialog Acts on Word Use in Polylogue,
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012

  98. Ching-man Au Yeung, Tomoharu Iwata,
    Modelling User Behaviour and Interactions: Augmented Cognition on the Social Web,
    International Conference on Human-Computer Interaction (HCI), (20) 277-287, 2011

  99. Akinori Fujino, Masaaki Nagata, Tomoharu Iwata,
    Mislabeling Detection with Cross-validation Likelihood Maximization,
    Asian Conference on Machine Learning (ACML), 2011

  100. Ching Man Au Yeung, Tomoharu Iwata,
    Extracting Multi-dimensional Relations: A Generative Model of Groups of Entities in a Corpus,
    ACM International Conference on Information and Knowledge Management (CIKM), 1203-1208, 2011

  101. Kevin Duh, Katsuhito Sudoh, Tomoharu Iwata, Hajime Tsukada,
    Alignment Inference and Bayesian Adaptation for Machine Translation,
    Machine Translation Summit XIII, Xiamen, China, Sep. 2011

  102. Tomoharu Iwata, Shinji Watanabe,
    Learning Influences from Word Use in Polylogue,
    Interspeech, 3089-3092, 2011
    [pdf]

  103. Yasuhisa Yoshida, Tsutomu Hirao, Tomoharu Iwata, Masaaki Nagata, Yuji Matsumoto,
    Transfer Learning for Multiple-Domain Sentiment Analysis: Identifying Domain Dependent/Independent Word Polarity,
    AAAI Conference on Artificial Intelligence (AAAI), 2011

  104. Tomoharu Iwata, Shinji Watanabe, Hiroshi Sawada,
    Fashion Coordinates Recommender System using Photographs from Fashion Magazines,
    International Joint Conference on Artificial Intelligence (IJCAI), 2262-2267, 2011
    [pdf]

  105. Ching Man Au Yeung, Tomoharu Iwata,
    Strength of Social Influence in Trust Networks in Product Review Sites,
    ACM International Conference on Web Search and Data Mining (WSDM), 495-504, 2011

  106. Katsuhiko Ishiguro, Tomoharu Iwata, Naonori Ueda, Josh Tenenbaum,
    Dynamic Infinite Relational Model for Time-varying Relational Data Analysis,
    Neural Information Processing Systems (NIPS), 910-918, 2010

  107. Takeshi Kurashima, Tomoharu Iwata, Go Irie, Ko Fujimura,
    Travel Route Recommendation using Geotags in Photo Sharing Sites,
    ACM International Conference on Information and Knowledge Management (CIKM), 579-588, 2010

  108. Shinji Watanabe, Tomoharu Iwata, Takaaki Hori, Atsushi Sako, Yasuo Ariki,
    Application of Topic Tracking Model to Language Model Adaptation and Meeting Analysis,
    IEEE Workshop on Spoken Language Technology (SLT), 2010

  109. Yutaka Kabutoya, Tomoharu Iwata, Ko Fujimura,
    Modeling Multiple Users' Purchase over a Single Account for Collaborative Filtering,
    International Conference on Web Information Systems Engineering (WISE), 2010

  110. Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, Naonori Ueda,
    Online Multiscale Dynamic Topic Models,
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 663-672, 2010
    (Best Research Paper Award Honorable Mention)
    [pdf]

  111. Tomoharu Iwata, Daichi Mochihashi, Hiroshi Sawada,
    Learning Common Grammar from Multilingual Corpus,
    Annual Meeting of the Association for Computational Linguistics (ACL), short, 184-188, 2010
    [pdf]

  112. Yutaka Kabutoya, Tomoharu Iwata, Hisako Shiohara, Ko Fujimura,
    Effective Question Recommendation Based on Multiple Features for Question Answering Communities,
    International AAAI Conference on Weblogs and Social Media (ICWSM), 2010

  113. Albert Au Yeung, Tomoharu Iwata,
    Capturing Implicit User Influence in Online Social Sharing,
    ACM Conference on Hypertext and Hypermedia (HT), 2010

  114. Tomoharu Iwata, Takeshi Yamada, Naonori Ueda,
    Modeling Social Annotation Data with Content Relevance using a Topic Model,
    Neural Information Processing Systems (NIPS), 835-843, 2009
    [pdf (revised version)]

  115. Takuya Goto, Tomoko Kojiri, Toyohide Watanabe, Tomoharu Iwata, Takeshi Yamada,
    An Automatic Generation of Multiple-choice Cloze Questions Based on Statistical Learning,
    International Conference on Computers in Education (ICCE), 415-422, 2009 (Nomination for Best Student Paper Award)

  116. Tomoharu Iwata, Shinji Watanabe, Takeshi Yamada, Naonori Ueda,
    Topic Tracking Model for Analyzing Consumer Purchase Behavior,
    International Joint Conference on Artificial Intelligence (IJCAI), 1427-1432, 2009
    [pdf]

  117. Tomoharu Iwata, Tomoko Kojiri, Takeshi Yamada, Toyohide Watanabe,
    Recommendation Algorithm for Learning Materials that Maximizes Expected Test Scores,
    Pacific Rim International Conference on Artificial Intelligence (PRICAI), 965-970, 2008
    [pdf]

  118. Takuya Goto, Tomoko Kojiri, Toyohide Watanabe, Takeshi Yamada, Tomoharu Iwata,
    English Grammar Learning System Based on Knowledge Network of Fill-in-the-Blank Exercises,
    Proc. of 12th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2008), Part III, LNAI 5179, 588-595, 2008

  119. Tomoharu Iwata, Takeshi Yamada, Naonori Ueda,
    Probabilistic Latent Semantic Visualization: Topic Model for Visualizing Documents,
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 363-371, 2008
    [pdf] © ACM, 2008. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution.

  120. Masahide Kakehi, Tomoko Kojiri, Toyohide Watanabe, Takeshi Yamada, Tomoharu Iwata,
    Organization of Discussion Knowledge Graph from Collaborative Learning Record,
    International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES), LNAI 4694 III, 600-607, 2007

  121. Tomoharu Iwata, Kazumi Saito, Takeshi Yamada,
    Modeling User Behavior in Recommender Systems based on Maximum Entropy,
    International World Wide Web Conference (WWW), poster, 1281-1282, 2007
    [pdf] © ACM, 2007. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution.

  122. Tomoharu Iwata, Kazumi Saito, Takeshi Yamada,
    Recommendation Method for Extending Subscription Periods,
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 574-579, 2006
    [pdf] © ACM, 2006. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution.

  123. Tomoharu Iwata, Kazumi Saito, Naonori Ueda,
    Visual Nonlinear Discriminant Analysis for Classifier Design,
    European Symposium on Artificial Neural Networks (ESANN), 283-288, 2006
    [pdf]

  124. Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum,
    Parametric Embedding for Class Visualization,
    Neural Information Processing Systems (NIPS), oral, 617-624, 2004
    [pdf]

  125. Tomoharu Iwata, Kazumi Saito,
    Visualization of Anomaly using Mixture Model,
    International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES), Part 2, 624-631, 2004

  126. Takashi Ikegami, Tomoharu Iwata, Koh Hashimoto,
    A Network of Dynamic Keystone Species
    Artificial Life VIII, 216-222, 2002

  127. Kouichi Takahashi, Yusuke Saito, Tomohiko Aikawa, Tomoharu Iwata, Motohiro Yoneda, Masayuki Okayama, Masaru Tomita,
    E-Cell: Software Environment for Whole Cell Simulation and Analysis,
    Annual International Conference on Computational Molecular Biology (RECOMB), 2000

  128. Yusuke Saito, Kouichi Takahashi, Tomoharu Iwata, Tomohiko Aikawa, Masaru Tomita,
    Parameter Estimation Mechanism of E-Cell Simulation Environment,
    Genome Informatics (GIW), 1999

Journal

  1. Tomoharu Iwata, Yoichi Chikahara,
    Meta-learning for heterogeneous treatment effect estimation with closed form solvers,
    Machine Learning, accepted
    [code]

  2. Tomoharu Iwata, Atsutoshi Kumagai,
    Meta-learning to Calibrate Gaussian Processes with Deep Kernels for Regression Uncertainty Estimation,
    Neurocomputing, accepted
    [code]

  3. Tomoharu Iwata,
    Meta-learning representations for clustering with infinite Gaussian mixture models,
    Neurocomputing, Vol. 549, 7 September 2023
    [code]

  4. Tomoharu Iwata, Yoshinobu Kawahara,
    Neural dynamic mode decomposition for end-to-end modeling of nonlinear dynamics,
    Journal of Computational Dynamics, Volume 10, Issue 2: 268-280, 2023

  5. Yuya Yoshikawa, Tomoharu Iwata,
    Gaussian Process Regression With Interpretable Sample-Wise Feature Weights,
    IEEE Transactions on Neural Networks and Learning Systems, Vol. 34, No. 9, pp. 5789-5803, Sept. 2023

  6. Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima,
    Context-aware Spatio-temporal Event Prediction via Convolutional Hawkes Processes,
    Machine Learning, Volume 111, pages 2929-2950, March 2022

  7. Yuya Yoshikawa, Tomoharu Iwata,
    Neural Generators of Sparse Local Linear Models for Achieving both Accuracy and Interpretability,
    Information Fusion, Volume 81, May 2022, 116-128

  8. Hitoshi Shimizu, Tomoharu Iwata, Hirohiko Suwa, Keiichi Yasumoto,
    Evacuation Guidance between Shelters Using Minimal Cost Flow,
    IEICE Transactions on Information and Systems, Vol.J105-D, No.3, pp.175-185, 2022

  9. Taisaku Ogawa, Koji Ochiai, Tomoharu Iwata, Tomokatsu Ikawa, Taku Tsuzuki, Katsuyuki Shiroguchi, Koichi Takahashi,
    Different cell imaging methods did not significantly improve immune cell image classification performance,
    PLoS One, 27;17(1):e0262397, Jan. 2022

  10. Tomoharu Iwata, Hitoshi Shimizu, Naoki Marumo,
    Probabilistic Pedestrian Models for Estimating Unobserved Road Populations,
    IEEE Transactions on Intelligent Transportation Systems, Vol.23, No.4, 3037-3047, 2022

  11. Israr Ul Haq, Tomoharu Iwata, Yoshinobu Kawahara,
    Dynamic mode decomposition via convolutional encoders for dynamics modeling in videos,
    Computer Vision and Image Understanding, Vol.216, Article Number 103355, 2022

  12. 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 Transactions on Information and Systems, Vol.E105.D, No.1, 150-160, 2022

  13. Tomoharu Iwata, Yusuke Tanaka,
    Few-shot learning for spatial regression via neural embedding-based Gaussian processes,
    Machine Learning, Volume 111, pages 1239-1257, November, 2022

  14. 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

  15. Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima,
    Deep Mixture Point Processes,
    Transactions of the Japanese Society for Artificial Intelligence, 36 (5), C-L37, 2021

  16. Tomohisa Okazaki, Nobuyuki Morikawa, Asako Iwaki, Hiroyuki Fujiwara, Tomoharu Iwata, Naonori Ueda,
    Ground]Motion Prediction Model Based on Neural Networks to Extract Site Properties from Observational Records,
    Bulletin of the Seismological Society of America, 111 (4): 1740-1753, 2021

  17. Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi, Hisashi Kashima,
    Student-t variational autoencoder for robust multivariate density estimation,
    Transactions of the Japanese Society for Artificial Intelligence, 36 (3), A-KA4_1-9, 2021

  18. 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,
    Artificial Intelligence, Vol. 292, 103430, Mar. 2021

  19. Tomoharu Iwata, Machiko Toyoda, Shotaro Tora, Naonori Ueda,
    Anomaly Detection with Inexact Labels,
    Machine Learning, 109, 1617-1633, 2020
    [arXiv]

  20. Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara,
    Transfer Metric Learning for Unseen Domains,
    Data Science and Engineering, 5, 140-151, 2020

  21. Tatsushi Matsubayashi, Hiroshi Kiyotake, Masahiro Kohjima, Hiroyuki Toda, Yusuke Tanaka, Yuichi Muto, Hisako Shiohara, Masaru Miyamoto, Hitoshi Shimizu, Takuma Ohtsuka, Tomoharu Iwata, Hiroshi Sawada, Futoshi Naya, Naonori Ueda,
    Data Assimilation and Preliminary Security Planning for People Crowd,
    Transactions of the Japanese Society for Artificial Intelligence, 34(5), September 2019

  22. Michael Hentschel, Marc Delcroix, Atsunori Ogawa, Tomoharu Iwata, Tomohiro Nakatani,
    Feature Based Domain Adaptation for Neural Network Language Models with Factorised Hidden Layers,
    IEICE Transactions on Information and Systems, E102.D, 3, 598-608, 2019

  23. Atsutoshi Kumagai, Tomoharu Iwata,
    Learning Future Classifiers without Additional Data,
    Journal of the Japanese Society for Artificial Intelligence, Vol.3, No.2, D-H92_1-9, 2018

  24. Tomoharu Iwata, Tsutomu Hirao, Naonori Ueda,
    Topic Models for Unsupervised Cluster Matching,
    IEEE Transactions on Knowledge and Data Engineering, Volume:30, Issue:4, pages 786--795, April 2018
    [pdf]

  25. Yuya Yoshikawa, Tomoharu Iwata:
    Randomized Kernel Mean Networks for Bag-of-Words Data,
    Transaction of Information Processing Society of Japan, Vol. 10, No. 3, 32--38, Dec. 2017

  26. Tomoharu Iwata, Hitoshi Shimizu, Futoshi Naya, Naonori Ueda,
    Estimating People Flow from Spatio-temporal Population Data via Collective Graphical Mixture Models,
    ACM Transactions on Spatial Algorithms and Systems, Volume 3 Issue 1, Article No. 2, May 2017
    [pdf]

  27. Tomoharu Iwata, Katsuhiko Ishiguro,
    Robust Unsupervised Cluster Matching for Network Data,
    Data Mining and Knowledge Discovery, Volume 31, Issue 4, 1132--1154, July 2017,
    [pdf]

  28. Yusuke Tanaka, Takeshi Kurashima, Yasuhiro Fujiwara, Tomoharu Iwata, Hiroshi Sawada,
    Identifying Latent Triggers of Purchases with Consideration of Social Effects and Media Advertisements,
    Journal of Information Processing Society of Japan, Vol.58, No.2, 580-593, Feb. 2017

  29. Tomoharu Iwata, Motonobu Kanagawa, Tsutomu Hirao, Kenji Fukumizu,
    Unsupervised Group Matching with Application to Cross-lingual Topic Matching without Alignment Information,
    Data Mining and Knowledge Discovery, Volume 31 Issue 2, Pages 350-370, March 2017
    [pdf]

  30. Tomoharu Iwata, Tsutomu Hirao, Naonori Ueda,
    Unsupervised Many-to-Many Object Matching via Probabilistic Latent Variable Models,
    Information Processing & Management, Vol.52, No.4, 682-697, 2016
    [pdf]

  31. Tomoharu Iwata, James Robert Lloyd, Zoubin Ghahramani,
    Unsupervised Many-to-Many Object Matching for Relational Data,
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.38, No.3, 607-619, 2016
    [pdf]

  32. Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada,
    Non-linear Matrix Factorization for Group Recommendation,
    Transactins of the Japanese Society for Artificial Intelligence, Vol.30, No.2, Mar. 2015 (Short Paper)

  33. Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada
    Collaboration on Social Media: Analyzing Successful projects in Social Coding,
    DBSJ Journal, Vol.12, No.3, Feb. 2014

  34. Akisato Kimura, Kevin Duh, Tsutomu Hirao, Katsuhiko Ishiguro, Tomoharu Iwata, Ching-man Au Yeung,
    Creating stories from socially curated microblog messages,
    IEICE Transactions on Information and Systems, Vol. E97-D, No. 6, pp.1557-1566, 2014

  35. Yasuko Matsubara, Yasushi Sakurai, Christos Faloutsos, Tomoharu Iwata, Masatoshi Yoshikawa:
    Fast Mining and Forecasting of Web-Click Events,
    IEICE, Vol. J97-D, No. 4, pp. 822-834, 2014

  36. Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada
    Information Diffusion Models with Latent features of Users on Social Networks, IPSJ Transaction on Database (TOD), Vol. 6, No. 5, 85-94, Dec. 2013

  37. Tomoharu Iwata, Takeshi Yamada, Naonori Ueda,
    Modeling Noisy Annotated Data with Application to Social Annotation,
    IEEE Transactions on Knowledge and Data Engineering, 25 (7), 1601-1613, 2013
    [pdf]

  38. Takeshi Kurashima, Tomoharu Iwata, Go Irie, Ko Fujimura,
    Travel Route Recommendation Using Geotagged Photos,
    Knowledge and Information Systems (KAIS) Journal, Volume 37, Issue 1, 37-60, 2013

  39. Takeshi Kurashima, Tomoharu Iwata, Takahide Hoshide, Noriko Takaya, Ko Fujimura,
    Joint modeling of user's activity area and interests for location recommendation,
    IPSJ Transaction on Database (TOD), Vol. 6, No. 2, 30-41, 2013

  40. Kevin Duh, Ching-Man Au Yeung, Tomoharu Iwata, Masaaki Nagata:
    Managing information disparity in multilingual document collections,
    ACM Trans. Speech Lang. Process. 10, 1, Article 1, March 2013

  41. Tomoharu Iwata, Shinji Watanabe,
    Influence Relation Estimation based on Lexical Entrainment in Conversation,
    Speech Communication, 55, 2, 329-339, 2013
    [pdf]

  42. Tomoharu Iwata, Hiroshi Sawada,
    Topic Model for Analyzing Purchase Data with Price Information,
    Data Mining and Knowledge Discovery, 26, 3, 559-573, 2013
    [pdf]

  43. Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, Naonori Ueda,
    Sequential Modeling of Topic Dynamics with Multiple Timescales,
    ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 5 Issue 4, 19:1-19:27, 2012
    [pdf]

  44. Yutaka Kabutoya, Tomoharu Iwata, Ko Fujimura,
    Collaborative Filtering based on Topic Models Considering an Account Shared by Multiple Users,
    DBSJ Journal, Vol.9, No.3, 7-12, 2011

  45. Tomoharu Iwata, Tomoko Kojiri, Takeshi Yamada, Toyohide Watanabe,
    Recommendation for English Multiple-choice Cloze Questions Based on Expected Test Scores,
    International Journal of Knowledge-based and Intelligent Engineering Systems, Volume 15, Number 1, 2011
    [pdf]

  46. Shinji Watanabe, Tomoharu Iwata, Takaaki Hori, Atsushi Sako, Yasuo Ariki,
    Topic Tracking Language Model for Speech Recognition,
    Computer Speech & Language, Volume 25, Issue 22, 440-461, 2011

  47. Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Yamada, Naonori Ueda,
    Improving Classifier Performance using Data with Different Taxonomies,
    IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 23, No. 11, 1668-1677, 2011
    [pdf]

  48. Yutaka Kabutoya, Tomoharu Iwata, Hisako Shiohara, Ko Fujimura,
    Effective Question Recommendation using Multiple Features for Question Answering Communities,
    IPSJ Transaction on Database (TOD), Vol.3, No. 4, 34-47, 2010

  49. Takuya Goto, Tomoko Kojiri, Toyohide Watanabe, Tomoharu Iwata, Takeshi Yamada,
    Automatic Generation System of Multiple-choice Cloze Questions and its Evaluation,
    Knowledge Management & E-Learning: An International Journal (KM&EL), Vol 2, No 3, 2010

  50. Tomoharu Iwata, Shinji Watanabe, Takeshi Yamada, Naonori Ueda
    Topic Tracking Model for Purchase Behavior Analysis,
    Transactions of IEICEJ, Vol.J93-D, No.6, pp.978-987, 2010

  51. Katsuhiko Ishiguro, Tomoharu Iwata, Naonori Ueda,
    Dynamic infinite relational model for time-dependent relational data analysis,
    Journal of Information Processing Society of Japan, Vol. 3, No.1, 1-12, 2010

  52. Takuya Goto, Tomoko Kojiri, Toyohide Watanabe, Tomoharu Iwata, Takeshi Yamada,
    Knowledge Network for English Grammar Learning Support System,
    International Journal of Advanced Intelligence Paradigms, Vol.2, No.1, 64-77, 2009

  53. Tomoharu Iwata, Takeshi Yamada, Naonori Ueda,
    Visualizing Documents based on Topic Models,
    Journal of Information Processing Society of Japan, Vol.50, No.6, 1649-1659, 2009

  54. Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Yamada, Naonori Ueda,
    Model Learning when Distributions Differ over Time,
    Transactions of IEICEJ, Vol.J92-D, No.3, 361-370, 2009

  55. Tomoharu Iwata, Kazumi Saito, Takeshi Yamada,
    Recommendation Method for Improving Customer Lifetime Value,
    IEEE Transactions on Knowledge and Data Engineering, Vol.20, No.9, 1254-1263, 2008
    [pdf] © 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. *IEEE

  56. Tomoharu Iwata, Takeshi Yamada, Naonori Ueda,
    Collaborative filtering efficiently using purchase orders,
    Transaction of Information Processing Society of Japan, Vol.49, No.SIG4 (TOM20), 125-134, 2008
    [pdf]*IPSJ

  57. Tomoharu Iwata, Kazumi Saito,
    Visual Classifier Analysis using Parametric Embedding,
    Journal of Information Processing Society of Japan, Vol.48, No.12, 2007
    [pdf]*IPSJ

  58. Tomoharu Iwata, Kazumi Saito, Takeshi Yamada,
    Recommendation Method for Extending Subscription Periods,
    Transaction of Information Processing Society of Japan, Vol.48, No.SIG6 (TOM17), 65-74, 2007
    [pdf]*IPSJ

  59. Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum,
    Parametric Embedding for Class Visualization,
    Neural Computation, Vol.19, No.9, 2536-2556, 2007
    [pdf]

  60. Tomoharu Iwata, Kazumi Saito, Takeshi Yamada,
    Recommendation to Extend Subscription Periods,
    Information Technology Letters, vol.5, 109-112, 2006 (Letter)
    [pdf]

  61. Tomoharu Iwata, Kazumi Saito,
    Visualization of Anomalies using Mixture Models,
    Journal of Intelligent Manufacturing, Vol.16, 635-643, 2005
    [pdf]

  62. Tomoharu Iwata, Kazumi Saito, Naonori Ueda,
    Class Structure Visualization by Parametric Embedding,
    Journal of Information Processing Society of Japan, vol.46, 2337-2346, 2005
    [pdf]*IPSJ

  63. Tomoharu Iwata, Kazumi Saito, Naonori Ueda,
    Visualization via Posterior Preserving Embedding,
    Information Technology Letters, Vol.3, 119-120, 2004 (Letter)
    [pdf]

Preprints

  1. Tomoharu Iwata,
    Meta-learning representations for clustering with infinite Gaussian mixture models,
    arXiv:2103.00694, 2021
    [arXiv] [code]

  2. Tomoharu Iwata,
    Meta-Active Learning for Node Response Prediction in Graphs,
    arXiv:2010.05387, 2020
    [arXiv]

  3. Tomoharu Iwata, Atsutoshi Kumagai,
    Few-shot Learning for Time-series Forecasting,
    arXiv:2009.14379, 2020
    [arXiv] [code]

  4. Yasunori Akagi, Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda,
    Probabilistic Optimal Transport based on Collective Graphical Models,
    arXiv:2006.08866, 2020
    [arXiv]

  5. Tomoharu Iwata, Takuma Otsuka,
    Efficient Transfer Bayesian Optimization with Auxiliary Information,
    arXiv:1909.07670, 2019
    [arXiv]

  6. Tomoharu Iwata, Yuki Yamanaka,
    Supervised Anomaly Detection based on Deep Autoregressive Density Estimators,
    arXiv:1904.06034, 2019
    [arXiv]

  7. Tomoharu Iwata, Takuma Otsuka, Hitoshi Shimizu, Hiroshi Sawada, Futoshi Naya, Naonori Ueda,
    Finding Appropriate Traffic Regulations via Graph Convolutional Networks,
    arXiv:1810.09712, 2018
    [arXiv]

  8. Unsupervised Object Matching for Relational Data,
    Tomoharu Iwata, Naonori Ueda,
    arXiv:1810.03770, 2018
    [arXiv]

  9. Atsutoshi Kumagai, Tomoharu Iwata,
    Zero-shot Domain Adaptation without Domain Semantic Descriptors,
    arXiv:1807.02927, 2018
    [arXiv]

  10. Tomoharu Iwata, Zoubin Ghahramani,
    Improving Output Uncertainty Estimation and Generalization in Deep Learning via Neural Network Gaussian Processes,
    arXiv:1707.05922, 2017
    [arXiv]

Thesis

    Tomoharu Iwata,
    Probabilistic User Behavior Models in Online Stores for Recommender Systems,
    Doctoral Thesis, Graduate School of Informatics, Kyoto University, 2008
    [pdf]
last update 2024/01/29