岩田具治, Tomoharu Iwata

Japanese | English

Tomoharu Iwata
NTTコミュニケーション科学基礎研究所 上席特別研究員
mail: tomoharu.iwata.gy at hco.ntt.co.jp

略歴

2001年 慶應義塾大学環境情報学部卒業
2003年 東京大学大学院総合文化研究科修士課程修了
2003年 日本電信電話株式会社入社
2008年 京都大学大学院情報学研究科博士課程修了 博士(情報学)
2012-2013年 ケンブリッジ大学客員研究員

表彰

  1. ICWSM, Outstanding User Modeling Paper Award, 2023
  2. 電気通信普及財団 テレコム学際研究賞 奨励賞,2022
  3. Workshop on Multilingual Representation Learning, Best Paper Award, Nov 2021
  4. DICOMO2021シンポジウム, 優秀論文賞, 2021
  5. 自然言語処理研究会, 優秀研究賞, 2017
  6. APSIPA ASC, Poster Book Prize, 2017
  7. IBISML研究会賞ファイナリスト, 2017
  8. 人工知能学会 研究会優秀賞,2016
  9. 長尾真記念特別賞, 2014
  10. WebDB Forum 2012 サイバーエージェント賞, 2012
  11. 言語処理学会 第17回年次大会 優秀発表賞, 2011
  12. ライフインテリジェンスとオフィス情報システム 研究賞, 2011
  13. WebDB Forum 2010 優秀論文賞, 2010
  14. IBIS2010 Honorable Mention, 2010
  15. KDD2010 Best Research Paper Award Honorable Mention, 2010
  16. 教育システム情報学会 全国大会 研究奨励賞, 2009
  17. 数理モデル化と問題解決研究会 プレゼンテーション賞, 2009
  18. 情報処理学会論文誌 論文賞, 2009
  19. FITヤングリサーチャー賞, 2007
  20. NTTコミュニケーション科学基礎研究所 奨励賞,2005
  21. 船井ベストペーパー賞, 2004
  22. (第8回全日本セパタクロー学生選手権大会優勝, 2000)
  23. (第6回日本学生セパタクロー選手権新人戦優勝, 2000)

論文

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

  2. Tomoharu Iwata, Yoshinobu Kawahara,
    Neural dynamic mode decomposition for end-to-end modeling of nonlinear dynamics,
    Journal of Computational Dynamics, 2022

  3. 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

  4. Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima,
    Context-aware Spatio-temporal Event Prediction via Convolutional Hawkes Processes,
    Machine Learning, 2022

  5. 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

  6. 清水仁, 岩田具治, 諏訪博彦, 安本慶一,
    最小費用流を用いた避難所間の誘導,
    電子情報通信学会論文誌D, Vol.J105-D, No.3, pp.175-185, 2022

  7. 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, 2022 Jan 27;17(1):e0262397

  8. 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

  9. 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.

  10. 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

  11. Tomoharu Iwata, Yusuke Tanaka,
    Few-shot learning for spatial regression via neural embedding-based Gaussian processes,
    Machine Learning, November 2021

  12. 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

  13. 大川真耶, 岩田具治, 倉島健, 田中佑典, 戸田浩之, 上田修功, 鹿島久嗣,
    深層混合点過程 外的要因を考慮した時空間イベント予測,
    人工知能学会論文誌 36 (5), C-L37_1-10, 2021

  14. 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

  15. 高橋大志, 岩田具治, 山中友貴, 山田真徳, 八木哲志, 鹿島久嗣,
    Student-t VAE によるロバスト確率密度推定,
    人工知能学会論文誌 36 (3), A-KA4_1-9, 2021

  16. 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

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

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

  19. 松林達史, 清武寛, 幸島匡宏, 戸田浩之, 田中悠介, 六藤雄一, 塩原寿子, 宮本勝, 清水仁, 大塚琢馬, 岩田具治, 澤田宏, 納谷太, 上田修功,
    人流における学習型誘導技術のデータ同化,
    人工知能学会論文誌, 34(5), 2019

  20. 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

  21. 熊谷充敏, 岩田具治,
    追加データを用いない未来の分類器学習法,
    人工知能学会論文誌,Vol.3, No.2, D-H92_1-9, 2018

  22. 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]

  23. Yuya Yoshikawa, Tomoharu Iwata:
    Randomized Kernel Mean Networks for Bag-of-Words Data,
    情報処理学会論文誌 数理モデル化と応用, Vol. 10, No. 3, 32--38, Dec. 2017

  24. 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]

  25. 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]

  26. 田中佑典, 倉島健, 藤原靖宏, 岩田具治, 澤田宏,
    社会的影響とメディア広告の影響を考慮した購買要因推定,
    情報処理学会論文誌, Vol.58, No.2, 580-593, Feb. 2017

  27. 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]

  28. 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]

  29. 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]

  30. 吉川 友也, 岩田 具治, 澤田 宏,
    "グループ推薦のための非線形行列分解,"
    人工知能学会論文誌, Vol.30, No.2, Mar. 2015 (速報論文)

  31. 吉川友也, 岩田具治, 澤田宏,
    "ソーシャルメディア上の協働: ソーシャルコーディングにおける成功するプロジェクトの要因分析,"
    日本データベース学会論文誌, Vol.12, No.3, Feb. 2014

  32. 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

  33. 松原靖子, 櫻井保志, Christos Faloutsos, 岩田具治, 吉川正俊:
    "大規模 Web クリックデータのためのイベント予測,"
    電子情報通信学会論文誌, Vol. J97-D, No. 4, pp. 822-834, 2014

  34. 吉川友也, 岩田具治, 澤田宏:
    "ユーザの潜在特徴を考慮したソーシャルネットワーク上の情報拡散モデル,"
    情報処理学会論文誌, データベース(TOD), Vol. 6, No. 5, 85-94, Dec. 2013

  35. 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]

  36. 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

  37. 倉島健, 岩田具治, 星出高秀, 高屋典子, 藤村 考,
    "行動範囲と興味の同時推定モデルによる行動推薦手法,"
    情報処理学会論文誌データベース(TOD), 情報処理学会, TOD57, 2013

  38. 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

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

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

  41. 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]

  42. 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

  43. 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]

  44. 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

  45. 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]

  46. 甲谷優, 岩田具治, 塩原寿子, 藤村考,
    "QAコミュニティにおける複数情報源を用いた効果的な質問推薦,"
    情報処理学会論文誌 データベース(TOD), Vol.3, No. 4, 34-47, 2010

  47. 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

  48. 岩田具治,渡部晋治,山田武士,上田修功:
    "購買行動解析のためのトピック追跡モデル,"
    電子情報通信学会, Vol.J93-D, No.6, pp.978-987, 2010

  49. 石黒勝彦,岩田具治,上田修功:
    "時間依存関係データ分析のための動的無限関係モデル,"
    情報処理学会論文誌 数理モデル化と応用, Vol.3, No.1, 1-12, 2010

  50. 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

  51. 岩田具治,山田武士,上田修功,
    "トピックモデルに基づく文書群の可視化,"
    情報処理学会論文誌, Vol.50, No.6, 1649-1659, 2009
    [pdf]*IPSJ

  52. 岩田具治,田中利幸,山田武士,上田修功,
    "分布が変化するデータにおけるモデル学習法,"
    電子情報通信学会, Vol.J-92D, No.3, 361-370, 2009

  53. Tomoharu Iwata, Kazumi Saito, Takeshi Yamada,
    "Recommendation Method for Improving Customer Lifetime Value,"
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 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

  54. 岩田具治,山田武士, 上田修功,
    "購買順序を効率的に用いた協調フィルタリング,"
    情報処理学会論文誌:数理モデル化と応用, Vol.49, No.SIG4 (TOM20), 125-134, 2008 (情報処理学会論文賞)
    [pdf]*IPSJ

  55. 岩田具治,斉藤和巳,
    "パラメトリック埋め込み法を用いた分類器の視覚的解析,"
    情報処理学会論文誌,Vol.48,No.12,4012-4022,2007
    [pdf]*IPSJ

  56. 岩田具治,斉藤和巳,山田武士,
    "契約期間を延ばすためのレコメンド法,"
    情報処理学会論文誌:数理モデル化と応用, Vol.48,No.SIG6 (TOM17), 65-74, 2007
    [pdf]*IPSJ

  57. 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]

  58. 岩田具治,斉藤和巳,山田武士,
    "契約期間を延ばすためのリコメンデーション法,"
    情報科学技術レターズ, Vol.5, 109-112, 2006,(レター,FITヤングリサーチャー賞)
    [pdf]

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

  60. 岩田具治,斉藤和巳,上田修功,
    "パラメトリック埋め込み法によるクラス構造の可視化,"
    情報処理学会論文誌,Vol.46, No.9,2337-2346,2005
    [pdf]*IPSJ

  61. 岩田具治,斉藤和巳,上田修功,
    "事後確率構造の可視化,"
    情報科学技術レターズ, Vol.3, 119-120, 2004 (レター,船井ベストペーパー賞)
    [pdf]

国際会議

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

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

  3. 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

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

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

  6. 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)

  7. 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

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

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

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

  11. 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

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

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

  14. 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

  15. 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

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

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

  18. 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

  19. 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

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

  21. 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)

  22. 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]

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

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

  25. 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

  26. 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

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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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

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

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

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

  36. 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

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

  38. 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

  39. 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

  40. 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

  41. 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

  42. 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

  43. 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

  44. 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

  45. 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

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

  47. 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]

  48. 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

  49. 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

  50. 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

  51. 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

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

  53. 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

  54. 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

  55. 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

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

  57. 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

  58. 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

  59. 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

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

  61. 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

  62. 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

  63. 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

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

  65. 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

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

  67. 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

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

  69. 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

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

  71. 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

  72. 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

  73. 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

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

  75. 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]

  76. 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

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

  78. 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

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

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

  81. 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

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

  83. 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]

  84. 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

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

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

  87. 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]

  88. 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

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

  90. 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]

  91. 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

  92. 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

  93. 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

  94. 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

  95. 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

  96. 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

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

  98. 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

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

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

  101. 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

  102. 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]

  103. 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

  104. 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

  105. 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

  106. 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

  107. 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

  108. 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]

  109. 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]

  110. 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

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

  112. 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)]

  113. 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)

  114. 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]

  115. 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]

  116. 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

  117. 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.

  118. 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

  119. 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.

  120. 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.

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

  122. 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]

  123. 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

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

  125. 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

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

Technical Reports

  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]

国内会議

  1. 清水仁, 諏訪博彦, 岩田具治, 藤野昭典, 澤田宏, 安本慶一,
    避難所計画問題の定式化と効果推定,
    DICOMO, 2021

  2. 武田悠佑, 岩田具治, 澤田宏,
    多様なノイズに頑健な関係データのクラスタリング
    DEIM, 2018

  3. 土屋平, 岩田具治, 小川哲司,
    異種データ活用のための変換複合行列分解,
    IBISML研究会, 2018

  4. 和田崇史, 岩田具治,
    教師なし系列マッチング,
    自然言語処理シンポジウム, Dec 2017 (優秀研究賞)

  5. Naoki Marumo, Tomoharu Iwata,
    Nonconvex Sparse Optimization with Submodularity,
    IBISワークショップ, 2017

  6. 熊谷充敏, 岩田具治,
    Maximum mean discrepancyに基づく分布マッチングを用いた教師なしドメイン適応,
    IBISワークショップ, 2017

  7. 山田真徳, 岩田具治,
    深層モデルを用いたDisentangleな表現学習,
    IBISワークショップ, 2017

  8. 林楓, 岩田具治, 谷口忠大,
    深層混合モデルによるクラスタリング,
    IBISワークショップ, 2017

  9. 清水仁, 大塚琢馬, 岩田具治, 澤田宏, 上田修功,
    人流シミュレーションにおけるエージェントパラメータの推定,
    IBISワークショップ, 2017

  10. 吉川友也, 岩田具治,
    Randomized Kernel Mean Networks for Bag-of-Words Data,
    MPS研究会, July 2017

  11. 丸茂直貴, 岩田具治,
    線形変換されたl0スパース制約下での学習,
    IBISML研究会, July 2017

  12. 吉川友也, 岩田具治,
    近似カーネル平均埋め込みに基づくBag-of-Wordsデータのためのニューラルネット
    IBIS, 2016

  13. 熊谷充敏, 岩田具治
    ラベルなしデータを活用した最新の分類器学習法
    IBIS, 2016

  14. 田中佑典, 岩田具治, 倉島健, 戸田浩之, 上田修功
    集計データに基づく人流グラフ推定技術の検討
    IBIS, 2016

  15. 金秀明, 岩田具治, 藤原靖宏, 上田修功
    混合メンバシップ・マーク付き点過程に基づくタイミングを考慮した訪問地推薦
    IBIS, 2016

  16. 森岡幹, 岩田具治, 小川厚徳, 俵直弘, 小川哲司, 小林 哲則
    少量データに頑健なニューラルネットワーク言語モデル
    日本音響学会 秋季研究発表会, 2016

  17. 芦川博人, 森岡幹, 小川厚徳, 岩田具治, 俵直弘, 小川哲司, 小林哲則
    複数人対話のための話者情報を用いた RNN 言語モデル
    日本音響学会 秋季研究発表会, 2016 (学生優秀発表賞)

  18. 金秀明, 岩田具治, 澤田宏,
    可変ビン幅ヒストグラム密度推定法を組み込んだ確率的トピックモデルの提案,
    IBISML研究会, 2016 (研究会賞ファイナリスト)

  19. 石畠正和, 岩田具治
    Grouped Bayesian Network: より細かな独立性を考慮した確率モデリング
    人工知能学会全国大会, 2016

  20. 竹内孝,河原吉伸,岩田具治
    高階結合正則化による時空間変化パターンの検出
    人工知能基本問題研究会, 2016 (研究会優秀賞)

  21. Topic Models for Analyzing Short Text Documents with User and Time Information
    今井優作,岩田具治,澤田宏,山田 武士
    IBISワークショップ, 2015

  22. 完全変数化NML符号長に基づくべイズ正準相関分析のランク推定
    中村友彦,岩田具治,山西健司
    IBISワークショップ, 2015

  23. 竹内孝,河原吉伸,岩田具治
    高階結合正則化を用いた教師あり学習
    IBISワークショップ, 2015

  24. 森岡幹, 俵直弘, 小川哲司, 岩田具治, 小川篤徳, 堀貴明, 小林哲則
    複数の文脈長を考慮したリカレントニューラルネットワークに基づく言語モデル
    日本音響学会 2015年秋季研究発表会講演論文集, (1-2-7):pp.17-20, September, 2015

  25. 吉川友也, 岩田具治, 澤田宏, 山田武士
    潜在分布のカーネル埋め込みによる異種データ間マッチング
    人工知能学会全国大会, 2015

  26. 今井優作, 岩田具治, 澤田宏, 山田武士
    マイクロブログ解析のための混合トピックモデル
    人工知能学会全国大会, 2015

  27. 田中佑典, 倉島健, 藤原靖宏, 岩田具治, 澤田宏
    社会環境から受ける影響を考慮した選択行動モデルの検討
    人工知能学会全国大会, 2015

  28. 石畠正和, 岩田具治
    Repair Topic Model
    人工知能学会全国大会, 2015

  29. 近藤雅芳, 岩田具治, 澤田宏, 山田武士
    単語の多義性を考慮した文書可視化
    IBISワークショップ, 2014

  30. 吉川友也, 岩田具治, 澤田宏
    Bag-of-Wordsデータ分類のための潜在サポートメジャーマシン
    IBISワークショップ, 2014

  31. 石畠正和, 岩田具治:
    データの階層情報を利用した確率的潜在変数モデルの自動生成,
    人工知能学会全国大会, 2014

  32. 吉川友也, 岩田具治, 澤田宏:
    グループ推薦のための非線形行列分解,
    人工知能学会全国大会, 2014 (全国大会優秀賞)

  33. 熊谷充敏,折原慎吾,岡野靖,岩田具治,大嶋嘉人:
    故意に誤ったラベル付けをするユーザへの耐性をもたせた識別モデル,
    IBISML研究会,2014

  34. 吉川友也, 岩田具治, 澤田宏:
    ソーシャルコーディングにおける成功の法則,
    WebDB Forum 2013

  35. 吉川友也, 岩田具治, 澤田宏:
    "ユーザの潜在特徴を考慮した情報拡散モデルの学習,"
    WebDB Forum 2012, 2012 (サイバーエージェント賞, 学生奨励賞)

  36. 吉川友也, 岩田具治, 澤田宏:
    "トピックを考慮したソーシャルネットワーク上の情報拡散モデル,"
    第26回人工知能学会全国大会 (JSAI2012), Jun. 2012

  37. 平尾努, 岩田具治, 永田昌明:
    教師なしマッピングによる言語横断テキスト分類,
    言語処理学会, 2012

  38. Robert Sumi, Yutaka Kabutoya, Tomoharu Iwata, Toshio Uchiyama, Ko Fujimura:
    A Topic Model for Enhancing Collaborative Filtering via Linked Open Data,
    DEIM2012, 2012

  39. 倉島 健,岩田具治,入江 豪,藤村 考:
    "ソーシャルメディアを用いた個人向け旅行プランの自動生成,"
    電子情報通信学会技術研究報告, LOIS, ライフインテリジェンスとオフィス情報システム, 2011

  40. 甲谷 優, 岩田 具治, 内山 俊郎, 藤村 考:
    "ディリクレ過程を用いたアカウントを共有するユーザの購買のモデリング,"
    人工知能学会全国大会, 2011

  41. 吉田康久 平尾努 岩田具治 永田昌明 松本裕治:
    "分野に依存しない単語極性を考慮した評判分析のための転移学習モデル,"
    言語処理学会第17回年次大会, 2011 (優秀発表賞)

  42. Ching-Man Au Yeung, Tomoharu Iwata,
    "Trust Relations and Product Ratings on the Web,"
    WebDB Forum 2010, 2010 (優秀論文賞)

  43. 岩田具治, 山田武士, 上田修功,
    "ラベルノイズに頑健なトピックモデル,"
    IBIS2010, 2010 (Honorable Mention)

  44. 石黒勝彦, 持橋大地, 岩田具治, 澤田宏, 上田修功,
    "トピック画像モデルによるデータの画像化,"
    IBIS2010, 2010

  45. 岩田具治,
    潜在トピックモデルを用いたデータマイニング,
    第1回Latent Dynamics Workshop, 2010/6

  46. 岩田具治, 渡部晋治, 澤田宏:
    ファッション雑誌を用いたコーディネート推薦システム,
    FIT2010, 2010
    [pdf]

  47. 甲谷優, 岩田具治, 塩原寿子, 藤村考:
    QAコミュニティにおける複数情報源を用いた効果的な質問推薦,
    DEIM2010, 2010

  48. 倉島健, 岩田具治, 入江豪, 藤村考:
    写真共有サイトにおけるジオタグ情報を利用したトラベルルート推薦,
    LOIS2009-88, 55--60, 2010 (LOIS研究賞受賞)

  49. 後藤拓也,小尻智子,渡邉豊英,岩田具治,山田武士:
    統計的学習を用いた問題作成知識抽出に基づく英語問題自動生成,
    人工知能学会研究会資料,SIG-ALST-A903-06, pp.27--32, 2010

  50. 石黒勝彦, 岩田具治, 上田修功,
    時間変化に対応する無限関係モデルの提案,
    情報処理学会研究報告, Vol. 2009-MPS-75, No. 24, pp. 1-6, 2009 (プレゼンテーション賞)

  51. 岩田具治, 山田武士, 櫻井保志, 上田修功,
    "オンライン学習可能な多重スケールでの時間発展を考慮したトピックモデル,"
    第12回情報論的学習理論ワークショップ (IBIS2009), 2009

  52. 後藤拓也,小尻智子,渡邉豊英,岩田具治,山田武士,
    "統計的学習に基づいた英語短文穴埋問題自動生成システムの評価,"
    教育システム情報学会第34回全国大会講演論文集,pp.74-75, 2009 (大会研究奨励賞受賞)

  53. 渡部晋治,岩田具治,堀貴明,佐古淳,有木康雄,
    "話題追従型言語モデルについての考察,"
    日本音響学会秋季研究発表会, 2-1-3, 2009

  54. 後藤拓也,小尻智子,渡邉豊英,岩田具治,山田武士,
    "既存問題の統計情報を利用した英語問題自動生成手法,"
    人工知能学会研究会資料,SIG-ALST-A901-02,9-14, 2009

  55. 岩田具治, 山田武士, 上田修功,
    "内容と関連するタグの教師なし抽出,"
    信学技報, Vol.109, No.51, AI2009-3, 13-18, 2009

  56. 佐古淳, 有木康雄, 岩田具治, 渡部晋治, 堀 貴明,
    "話題の連続/不連続変化を考慮したトピックモデルに基づく音声認識,"
    信学技報, Vol. 108, No. 338, SP2008-88, 55-60, 2008

  57. 岩田具治,渡部晋治,山田武士,上田修功,
    "トピックモデルに基づくユーザ興味の追跡,"
    情報論的学習理論ワークショップ(IBIS2008), 2008

  58. 岩田具治,田中利幸,山田武士,上田修功,
    "分布が変化するデータにおけるモデル学習法,"
    情報論的学習理論ワークショップ(IBIS2007), 170-175,2007

  59. 筧将英,小尻智子,渡邉豊英,山田武士,岩田具治,
    "協調学習からの問題解決シナリオの抽出,"
    教育システム情報学会研究報告,Vol.22, No.3, 3-7, 2007

  60. 岩田具治,斉藤和巳,山田武士,
    "最大エントロピー法に基づく推薦システムでのユーザ行動のモデル化,"
    第6回情報科学技術フォーラム(FIT2007),2007

  61. 筧将英,小尻智子,渡邉豊英,山田武士,岩田具治,
    "学習者の視点に基づく協調学習履歴の構造化,"
    第6回情報科学技術フォーラム(FIT2007),2007

  62. 岩田具治, 斉藤和巳, 山田武士,
    "顧客生涯価値を高めるためのリコメンデーション法,"
    パターン認識・メディア理解研究会,PRMU2007-37, 57-62, 2007

  63. 岩田具治,山田武士, 上田修功,
    "購買順序を考慮した協調フィルタリング,"
    人工知能と知識処理研究会,AI2007-3, 13-18, 2007

  64. 岩田具治,斉藤和巳,山田武士,
    "定額制サービスにおける優良顧客の購買パターン分析,"
    第18回データ工学ワークショップ(DEWS2007),2007

  65. 岩田具治,斉藤和巳,山田武士,
    "契約期間を延ばすためのレコメンド法,"
    数理モデル化と問題解決研究会,情報処理学会研究報告,MPS-61,5-8,2006

  66. 岩田具治,斉藤和巳,上田修功,
    "パラメトリック埋め込み法によるWeb検索結果のトピック可視化,"
    知識ベースシステム研究会(第69回),SIG-KBS-A405, 51-56, 2005

  67. 岩田具治,斉藤和巳,上田修功,
    "クラス可視化のためのパラメトリック埋め込み法,"
    日本神経回路学会第14回全国大会講演論文集, 20-21, 2004

  68. 岩田具治,斉藤和巳,上田修功,
    "球面埋め込み法による2部グラフの可視化,"
    日本神経回路学会第14回全国大会講演論文集, 66-67, 2004

  69. 岩田具治,斉藤和巳,上田修功,
    "分類の評価や特異文書の検出のための文書群の構造可視化,"
    自然言語処理研究会, 情報処理学会研究発表資料,NL-161-4, 25-32, 2004

  70. 岩田具治,斉藤和巳,
    "混合モデルを用いた異常値の可視化,"
    ニューロコンピューティング研究会, 信学技報 Vol.103 No.734,NC2003-214,121-126, 2004

講演

  1. 岩田具治,
    メタ学習入門,
    IBISML研究会, 2021/3/4
    [pdf]

  1. 岩田具治,
    "トピックモデル,"
    講談社, 2015

  2. T. Hastie, R. Tibshirani, J. Friedman (原著), 杉山将, 井手剛, 神嶌敏弘, 栗田多喜夫, 前田英作 (監訳), 井尻善久, 井手剛, 岩田具治, 金森敬文, 兼村厚範, 烏山昌幸, 河原吉伸, 木村昭悟, 小西嘉典, 酒井智弥, 鈴木大慈, 竹内一郎, 玉木徹, 出口大輔, 冨岡亮太, 波部斉, 前田新一, 持橋大地, 山田誠 (訳)
    "統計的学習の基礎: データマイニング・推論・予測,"
    共立出版, 2014

教育

  1. 奈良先端科学技術大学院大学,客員准教授,2017-
  2. 岐阜大学 非常勤講師,データ解析特論, 2016
  3. 大阪大学 非常勤講師,情報科学特別講義I, 2015-2018
  4. 奈良女子大学 非常勤講師,生活と統計学, 2014-2018

学会活動

  1. 電子情報通信学会、情報処理学会会員
  2. 実行委員長,第22回情報論的学習理論ワークショップ (IBIS), 2019
  3. 電子情報通信学会編集委員, 2015-2018
  4. 電子情報通信学会 情報論的学習理論と機械学習 (IBISML) 研究会,専門委員, 2014-
  5. 情報処理学会 数理モデル化と問題解決(MPS)研究会,幹事, 2014-2018
  6. 電子情報通信学会査読委員, 2010-
  7. プログラム委員長,第19回情報論的学習理論ワークショップ (IBIS), 2016
  8. Area chair, 33rd Annual Conference on Neural Information Processing Systems (NeurIPS), 2019
  9. Program Committee Member, Asian Conference on Machine Learning (ACML), 2019
  10. Senior Program Committee Member, International Joint Conference on Artificial Intelligence (IJCAI), 2019
  11. Program Committee Member, International Conference on Machine Learning (ICML), 2019
  12. Senior Program Committee Member, AAAI Conference on Artificial Intelligence (AAAI), 2019 International Joint Conference on Artificial Intelligence (IJCAI), 2019
  13. Program Committee Member, Artificial Intelligence and Statistics Conference (AISTATS), 2019
  14. Program Committee Member, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2018
  15. Program Committee Member, International Conference on Machine Learning (ICML), 2018
  16. Senior Program Committee Member, International Joint Conference on Artificial Intelligence (IJCAI), 2018
  17. Area chair, 31st Annual Conference on Neural Information Processing Systems (NIPS), 2017
  18. Program Committee Member, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017
  19. Program Committee Member, International Conference on Machine Learning (ICML), 2017
  20. Program Committee Member, International Joint Conference on Artificial Intelligence (IJCAI), 2017
  21. Program Committee Member, Artificial Intelligence and Statistics Conference (AISTATS), 2017
  22. Program Committee Member, 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016
  23. Area chair, 29th Annual Conference on Neural Information Processing Systems (NIPS), 2015
  24. Program Committee Member, Advances in Variational Inference, NIPS2015 Workshop, 2015
  25. Program Committee Member, 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2015
  26. Program Committee Member, International Conference on Machine Learning (ICML), 2015
  27. Program Committee Member, Advances in Variational Inference, NIPS2014 Workshop, 2014
  28. Program Committee Member, 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2013
  29. Program Committee Member, 7th International Conference on Advanced Data Mining and Applications (ADMA 2011), 2011
  30. Program Committee Member, 3rd Asian Conference on Machine Learning (ACML 2011), 2011
  31. Program Committee Member, 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-HLT 2011), 2011
  32. Program Committee Member, 2nd Asian Conference on Machine Learning (ACML 2010), 2010
  33. Program Committee Member, 1st International Workshop on Intelligent Visual Interfaces for Text Analysis (IVITA), 2010
  34. Program Committee Member, 1st Asian Conference on Machine Learning (ACML 2009), 2009

学位論文

  1. Tomoharu Iwata,
    "Probabilistic User Behavior Models in Online Stores for Recommender Systems,"
    Doctoral Thesis, Graduate School of Informatics, Kyoto University, 2008
    [pdf]

  2. 岩田具治,
    "生態系の進化ダイナミクスとキーストーン種,"
    修士論文,東京大学大学院 総合文化研究科, 2003
    [pdf]

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last update 2024/01/29