Tomoharu Iwata

Japanese | English

Tomoharu Iwata
Ueda Research Laboratory
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 distinguished researcher at Ueda Research Laboratory of NTT Communication Science Laboratories, Kyoto, Japan. His research interests include data mining, machine learning, information visualization, and recommender systems.

International Conference

  1. 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,
    In Proceedings of the 27st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021.

  2. Atsutoshi Kumagai, Tomoharu Iwata and Yasuhiro Fujiwara,
    Semi-supervised Anomaly Detection on Attributed Graphs,
    IJCNN, 2021

  3. 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

  4. Makoto Morishita, Jun Suzuki, Tomoharu Iwata, Masaaki Nagata,
    Context-aware Neural Machine Translation with Mini-batch Embedding,
    The 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021). April 2021

  5. Tomoharu Iwata, Atsutoshi Kumagai,
    Meta-learning from Tasks with Heterogeneous Attribute Spaces,
    NeurIPS, 2020
    [pdf]

  6. Masanori Yamada, Heecheol Kim, Kosuke Miyoshi, Tomoharu Iwata, Hiroshi Yamakawa,
    Disentangled Representations for Sequence Data using Information Bottleneck Principle,
    ACML, 2020

  7. Noise-robust Attention Learning for End-to-End Speech Recognition,
    Yosuke Higuchi, Naohiro Tawara, Atsunori Ogawa, Tomoharu Iwata, Tetsunori Kobayashi, Tetsuji Ogawa,
    EUSIPCO, 2020

  8. Yasutoshi Ida, Sekitoshi Kanai,Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima,
    Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance,
    In Proceedings of the 37th International Conference on Machine Learning (ICML), 2020

  9. Heecheol Kim, Masanori Yamada, Kosuke Miyoshi, Tomoharu Iwata, Hiroshi Yamakawa,
    Reinforcement Learning in Latent Action Sequence Space,
    IROS, 2020

  10. 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

  11. Tomoharu Iwata, Akinori Fujino, Naonori Ueda,
    Semi-supervised Learning for Maximizing the Partial AUC,
    AAAI, 2020
    [pdf]

  12. Tomoharu Iwata, Naoki Marumo,
    Co-occurrence Estimation from Aggregated Data with Auxiliary Information,
    AAAI, 2020
    [pdf]

  13. Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara,
    Transfer Anomaly Detection by Inferring Latent Domain Representations,
    NeurIPS, 2019

  14. Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda,
    Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs,
    NeurIPS, 2019

  15. Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara,
    Transfer Metric Learning for Unseen Domains,
    ICDM, 2019

  16. 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

  17. Yuki Yamanaka, Tomoharu Iwata, Hiroshi Takahashi, Masanori Yamada, Sekitoshi Kanai,
    Autoencoding Binary Classifiers for Supervised Anomaly Detection,
    PRICAI, (2) 647-659, 2019

  18. Takashi Wada, Tomoharu Iwata, Yuji Matsumoto,
    Unsupervised Multilingual Word Embedding with Limited Resources using Neural Language Models,
    The 57th Annual Meeting of the Association for Computational Linguistics (ACL), 2019

  19. 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

  20. 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

  21. 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

  22. Atsutoshi Kumagai, Tomoharu Iwata,
    Unsupervised Domain Adaptation by Matching Distributions based on the Maximum Mean Discrepancy via Unilateral Transformations,
    AAAI, 2019

  23. 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

  24. Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi,
    Variational Autoencoder with Implicit Optimal Priors,
    AAAI, 2019

  25. Tomoharu Iwata, Hitoshi Shimizu,
    Neural Collective Graphical Models for Estimating Spatio-temporal Population Flow from Aggregated Data,
    AAAI, 2019
    [pdf]

  26. Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda,
    Few-shot learning of neural networks from scratch by pseudo example optimization,
    BMVC, 2018

  27. Hitoshi Shimizu, Tatsushi Matsubayashi, Yusuke Tanaka, Tomoharu Iwata, Naonori Ueda, Hiroshi Sawada,
    Improving Route Traffic Estimation by Considering Staying Population,
    PRIMA, 630-637, 2018

  28. Michael Hentschel, Marc Delcroix, Atsunori Ogawa, Tomoharu Iwata, Tomohiro Nakatani,
    Factorised hidden layer based domain adaptation for recurrent neural network language models,
    APSIPA ASC, 2018

  29. Atsutoshi Kumagai, Tomoharu Iwata,
    Learning Dynamics of Decision Boundaries without Additional Labeled Data,
    KDD, 2018

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

  31. 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

  32. 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

  33. 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

  34. Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima,
    On Reducing Dimensionality of Labeled Data Efficiently,
    PAKDD, 2018

  35. 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 ASC, 2017

  36. Koh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata,
    Structurally Regularized Non-negative Tensor Factorization for Spatio-temporal Pattern Discoveries,
    ECML-PKDD, 2017

  37. Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima,
    Robust Multi-view Topic Modeling by Incorporating Detecting Anomalies,
    ECML-PKDD, 2017

  38. Atsutoshi Kumagai, Tomoharu Iwata,
    Learning Latest Classifiers without Additional Labeled Data,
    IJCAI, 2017

  39. Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda,
    SVD-Based Screening for the Graphical Lasso,
    IJCAI, 2017

  40. Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda,
    Scaling Locally Linear Embedding,
    SIGMOD, 2017

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

  42. Atsutoshi Kumagai, Tomoharu Iwata,
    Learning Non-linear Dynamics of Decision Boundaries for Maintaining Classification Performance,
    AAAI, 2017

  43. Hideaki Kim, Tomoharu Iwata, Yasuhiro Fujiwara, Naonori Ueda,
    "Read the Silence: Well-timed Recommendation via Admixture Marked Point Processes,"
    AAAI, 2017

  44. Tomoharu Iwata, Makoto Yamada,
    "Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models,"
    NIPS, 2016
    [pdf]

  45. Takuya Konishi, Tomoharu Iwata, Kohei Hayashi and Ken-Ichi Kawarabayashi,
    "Ideyintifying Key Observers to Find Popular Information in Advance,"
    IJCAI, 2016

  46. Atsutoshi Kumagai, Tomoharu Iwata,
    "Learning Future Classifiers without Additional Data,"
    AAAI, 2016

  47. 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

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

  49. Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada, Takeshi Yamada,
    "Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions,"
    Advances in Neural Information Processing Systems (NIPS2015), Montreal, Canada, Dec. 2015

  50. 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

  51. Koh Takeuchi, Yoshinobu Kawahara, and Tomoharu Iwata,
    "Higher Order Fused Regularization for Supervised Learning with Grouped Parameters,"
    ECML-PKDD, 2015

  52. Yarin Gal, Tomoharu Iwata, Zoubin Ghahramani:
    "An Infinite Product of Sparse Chinese Restaurant Processes,"
    10th Conference on Bayesian Nonparametrics (BNP), 2015

  53. Tomoharu Iwata, Koh Takeuchi:
    "Cross-domain recommendation without shared users or items by sharing latent vector distributions,"
    AISTATS2015, 2015
    [pdf]

  54. Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada:
    "Non-linear Regression for Bag-of-Words Data via Gaussian Process Latent Variable Set Model,"
    The 28th AAAI Conference on Artificial Intelligence (AAAI2015), Austin, Texas, USA, Jan. 2015

  55. Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada:
    "Latent Support Measure Machines for Bag-of-Words Data Classification,"
    NIPS2014, 2014

  56. Takeshi Kurashima, Tomoharu Iwata, Noriko Takaya, Hiroshi Sawada:
    "Probabilistic Latent Network Visualization: Inferring and Embedding Diffusion Networks,"
    KDD2014, 2014

  57. Masakazu Ishihata, Tomoharu Iwata:
    "Generating structure of latent variable models for nested data,"
    UAI2014, 2014

  58. Takeshi Kurashima, Tomoharu Iwata, Noriko Takaya, Hiroshi Sawada:
    "A Probabilistic Behavior Model for Discovering Unrecognized Knowledge,"
    ICDM2013, 2013

  59. Alejandro Marcos Alvarez, Makoto Yamada, Akisato Kimura, Tomoharu Iwata:
    "Clustering-Based Anomaly Detection in Multi-View Data,"
    CIKM2013, poster, 2013

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

  61. Tomoharu Iwata, Amar Shah, Zoubin Ghahramani:
    "Discovering Latent Influence in Online Social Activities via Shared Cascade Poisson Processes,"
    Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD2013), 266-274, 2013
    [pdf]

  62. Tsutomu Hirao, Tomoharu Iwata, Masaaki Nagata:
    "Latent Semantic Matching: Application to Cross-language Text Categorization without Alignment Information,"
    ACL2013, short, 2013

  63. Tomoharu Iwata, David Duvenaud, Zoubin Ghahramani:
    "Warped Mixtures for Nonparametric Cluster Shapes,"
    UAI 2013, 2013
    [preprint]

  64. Tomoharu Iwata, Tsutomu Hirao, Naonori Ueda:
    "Unsupervised Cluster Matching via Probabilistic Latent Variable Models,"
    AAAI2013, 2013
    [pdf]

  65. Tomoharu Iwata, Neil Houlsby, Zoubin Ghahramani:
    "Active Learning for Interactive Visualization,"
    AISTATS 2013, JMLR W&CP 31:342-350, 2013
    [pdf]

  66. 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, 2013

  67. Yutaka Kabutoya, Tomoharu Iwata, Hiroyuki Toda, Hiroyuki Kitagawa:
    "A Probabilistic Model for Diversifying Recommendation Lists,"
    APWeb 2013, April 2013

  68. Tomoharu Iwata, Kevin Duh,
    "Bidirectional Semi-Supervised Learning with Graphs,"
    ECML-PKDD'12, 293-306, 2012
    [pdf]

  69. Yutaka Kabutoya, Robert Sumi, Tomoharu Iwata, Toshio Uchiyama, Ko Fujimura:
    "A Topic Model for Recommending Movies via Linked Open Data,"
    WISE2012, 625-630, 2012

  70. 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), pp. 271-279, Beijing, China, August 2012

  71. Kevin Duh, Tsutomo Hirao, Akisato Kimura, Katsuhiko Ishiguro, Tomoharu Iwata, Ching-Man Au Yeung,
    "Creating Stories: Social Curation of Twitter Messages,"
    In: ICWSM'12: Proceedings of the 6th International AAAI Conference on Weblogs and Social Media, Dublin, Ireland, 2012

  72. Ekapol Chuangsuwanich, Shinji Watanabe, Takaaki Hori, Tomoharu Iwata, James Glass,
    "Handling Uncertain Observations in Unsupervised Topic-mixture Language Model Adaptation,"
    ICASSP2012, 2012

  73. Roland Roller, Shinji Watanabe, Tomoharu Iwata,
    "Effect of Dialog Acts on Word Use in Polylogue,"
    ICASSP2012, 2012

  74. Ching-man Au Yeung, Tomoharu Iwata,
    "Modelling User Behaviour and Interactions: Augmented Cognition on the Social Web,"
    HCI (20) 277-287, 2011

  75. Akinori Fujino, Masaaki Nagata, Tomoharu Iwata,
    "Mislabeling Detection with Cross-validation Likelihood Maximization,"
    ACML2011, 2011

  76. Ching Man Au Yeung, Tomoharu Iwata,
    "Extracting Multi-dimensional Relations: A Generative Model of Groups of Entities in a Corpus,"
    CIKM2011, 1203-1208, 2011

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

  78. Tomoharu Iwata, Shinji Watanabe,
    "Learning Influences from Word Use in Polylogue,"
    Interspeech2011, 3089-3092, 2011
    [pdf]

  79. Yasuhisa Yoshida, Tsutomu Hirao, Tomoharu Iwata, Masaaki Nagata, Yuji Matsumoto,
    "Transfer Learning for Multiple-Domain Sentiment Analysis: Identifying Domain Dependent/Independent Word Polarity,"
    AAAI2011, 2011

  80. Tomoharu Iwata, Shinji Watanabe, Hiroshi Sawada,
    "Fashion Coordinates Recommender System using Photographs from Fashion Magazines,"
    IJCAI2011, 2262-2267, 2011
    [pdf]

  81. Ching Man Au Yeung, Tomoharu Iwata,
    "Strength of Social Influence in Trust Networks in Product Review Sites,"
    WSDM2011, 495-504, 2011

  82. Katsuhiko Ishiguro, Tomoharu Iwata, Naonori Ueda, Josh Tenenbaum,
    "Dynamic Infinite Relational Model for Time-varying Relational Data Analysis,"
    NIPS2010, 910-918, 2010

  83. Takeshi Kurashima, Tomoharu Iwata, Go Irie, Ko Fujimura,
    "Travel Route Recommendation using Geotags in Photo Sharing Sites,"
    CIKM2010, 579-588, 2010

  84. Shinji Watanabe, Tomoharu Iwata, Takaaki Hori, Atsushi Sako, Yasuo Ariki,
    "Application of Topic Tracking Model to Language Model Adaptation and Meeting Analysis,"
    Proc. IEEE Workshop on Spoken Language Technology (SLT'10), 2010

  85. Yutaka Kabutoya, Tomoharu Iwata, Ko Fujimura,
    "Modeling Multiple Users' Purchase over a Single Account for Collaborative Filtering,"
    WISE2010, 2010

  86. Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, Naonori Ueda,
    "Online Multiscale Dynamic Topic Models,"
    Proc. of 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2010), 663-672, 2010
    (Best Research Paper Award Honorable Mention)
    [pdf]

  87. Tomoharu Iwata, Daichi Mochihashi, Hiroshi Sawada,
    "Learning Common Grammar from Multilingual Corpus,"
    Proceedings of 48th Annual Meeting of the Association for Computational Linguistics (ACL2010), 184-188, 2010
    [pdf]

  88. Yutaka Kabutoya, Tomoharu Iwata, Hisako Shiohara, Ko Fujimura,
    "Effective Question Recommendation Based on Multiple Features for Question Answering Communities,"
    Proceedings of 4th Int'l AAAI Conference on Weblogs and Social Media (ICWSM2010), 2010

  89. Albert Au Yeung, Tomoharu Iwata,
    "Capturing Implicit User Influence in Online Social Sharing,"
    Proceedings of 21st ACM Conference on Hypertext and Hypermedia (HT2010), 2010

  90. Tomoharu Iwata, Takeshi Yamada, Naonori Ueda,
    "Modeling Social Annotation Data with Content Relevance using a Topic Model,"
    Advances in Neural Information Processing Systems (NIPS2009), 835-843, 2009
    [pdf (revised version)]

  91. Takuya Goto, Tomoko Kojiri, Toyohide Watanabe, Tomoharu Iwata, Takeshi Yamada,
    "An Automatic Generation of Multiple-choice Cloze Questions Based on Statistical Learning,"
    The 17th International Conference on Computers in Education (ICCE2009), 415-422, 2009 (Nomination for Best Student Paper Award)

  92. Tomoharu Iwata, Shinji Watanabe, Takeshi Yamada, Naonori Ueda,
    "Topic Tracking Model for Analyzing Consumer Purchase Behavior,"
    Proc. of 21st International Joint Conference on Artificial Intelligence (IJCAI-09), 1427-1432, 2009
    [pdf]

  93. Tomoharu Iwata, Tomoko Kojiri, Takeshi Yamada, Toyohide Watanabe,
    "Recommendation Algorithm for Learning Materials that Maximizes Expected Test Scores,"
    Proc. of 10th Pacific Rim International Conference on Artificial Intelligence (PRICAI2008), 965-970, 2008
    [pdf]

  94. 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

  95. Tomoharu Iwata, Takeshi Yamada, Naonori Ueda,
    "Probabilistic Latent Semantic Visualization: Topic Model for Visualizing Documents,"
    Proc. of 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2008), 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.

  96. Masahide Kakehi, Tomoko Kojiri, Toyohide Watanabe, Takeshi Yamada, Tomoharu Iwata,
    "Organization of Discussion Knowledge Graph from Collaborative Learning Record,"
    Proc. of 11th International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES2007), LNAI 4694 III, 600-607, 2007

  97. Tomoharu Iwata, Kazumi Saito, Takeshi Yamada,
    "Modeling User Behavior in Recommender Systems based on Maximum Entropy,"
    Proc. of 16th International World Wide Web Conference (WWW2007), 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.

  98. Tomoharu Iwata, Kazumi Saito, Takeshi Yamada,
    "Recommendation Method for Extending Subscription Periods,"
    Proc. of 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2006), 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.

  99. Tomoharu Iwata, Kazumi Saito, Naonori Ueda,
    "Visual Nonlinear Discriminant Analysis for Classifier Design,"
    Proc. of 14th European Symposium on Artificial Neural Networks (ESANN2006), 283-288, 2006
    [pdf]

  100. Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum,
    Parametric Embedding for Class Visualization
    Advances in Neural Information Processing Systems 17 (NIPS2004), oral, 617-624, 2005
    [pdf]

  101. Tomoharu Iwata, Kazumi Saito,
    "Visualization of Anomaly using Mixture Model,"
    Proc. of 8th International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES2004), Part 2, 624-631, 2004

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

  103. Kouichi Takahashi, Yusuke Saito, Tomohiko Aikawa, Tomoharu Iwata, Motohiro Yoneda, Masayuki Okayama, Masaru Tomita,
    "E-Cell: Software Environment for Whole Cell Simulation and Analysis,"
    4th Annual International Conference on Computational Molecular Biology (RECOMB2000), 2000

  104. Yusuke Saito, Kouichi Takahashi, Tomoharu Iwata, Tomohiko Aikawa, Masaru Tomita,
    "Parameter Estimation Mechanism of E-Cell Simulation Environment,"
    Genome Informatics (GIW99), 1999

Journal

  1. 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, 2021

  2. ‚‹΄‘εŽuC Šβ“c‹οŽ‘C ŽR’†—F‹MC ŽR“c^“ΏC ”ͺ–Ψ“NŽuC Ž­“‡‹vŽk,
    Student-t VAE ‚Ι‚ζ‚郍ƒoƒXƒgŠm—¦–§“x„’θ,
    lH’m”\Šw‰ο˜_•ΆŽ 36 (3), A-KA4_1-9

  3. 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

  4. Tomoharu Iwata, Hitoshi Shimizu, Naoki Marumo,
    Probabilistic Pedestrian Models for Estimating Unobserved Road Populations,
    IEEE Transactions on Intelligent Transportation Systems, 2020

  5. Tomoharu Iwata, Machiko Toyoda, Shotaro Tora, Naonori Ueda,
    Anomaly Detection with Inexact Labels,
    Machine Learning, 109, 167-1633, 2020
    [arXiv]

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

  7. 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

  8. 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, 2018

  9. 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

  10. 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]

  11. 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

  12. 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]

  13. 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]

  14. 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

  15. 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]

  16. 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]

  17. 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]

  18. 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)

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

  20. 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

  21. 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

  22. 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

  23. 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]

  24. 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

  25. 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

  26. 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

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

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

  29. 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]

  30. 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

  31. 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]

  32. 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

  33. 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]

  34. 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

  35. 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

  36. 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

  37. 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

  38. 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

  39. 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

  40. 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

  41. 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

  42. 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

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

  44. 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

  45. 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]

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

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

  48. 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

  49. 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-Active Learning for Node Response Prediction in Graphs,
    arXiv:2010.05387, 2020
    [arXiv]

  2. Tomoharu Iwata, Yusuke Tanaka,
    Few-shot Learning for Spatial Regression,
    arXiv:2010.04360, 2020
    [arXiv]

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

  4. Yuya Yoshikawa, Tomoharu Iwata,
    Gaussian Process Regression with Local Explanation,
    arXiv:2007.01669, 2020
    [arXiv]

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

  6. Yuya Yoshikawa, Tomoharu Iwata,
    Neural Generators of Sparse Local Linear Models for Achieving both Accuracy and Interpretability,
    arXiv:2003.06441, 2020
    [arXiv]

  7. Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara,
    Semi-supervised Anomaly Detection on Attributed Graphs,
    arXiv:2002.12011, 2020
    [arXiv]

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

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

  10. Yuki Yamanaka, Tomoharu Iwata, Hiroshi Takahashi, Masanori Yamada, Sekitoshi Kanai,
    Autoencoding Binary Classifiers for Supervised Anomaly Detection,
    arXiv:1903.10709, 2019
    [arXiv]

  11. 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]

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

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

  14. 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 2021/06/22