| 2025 | AISTATS | Meta-learning from Heterogeneous Tensors for Few-shot Tensor Completion. | Tomoharu Iwata, Atsutoshi Kumagai |
| 2025 | AISTATS | Meta-learning Task-specific Regularization Weights for Few-shot Linear Regression. | Tomoharu Iwata, Atsutoshi Kumagai, Yasutoshi Ida |
| 2025 | AISTATS | Importance-weighted Positive-unlabeled Learning for Distribution Shift Adaptation. | Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Taishi Nishiyama, Yasuhiro Fujiwara |
| 2025 | AISTATS | Energy-consistent Neural Operators for Hamiltonian and Dissipative Partial Differential Equations. | Yusuke Tanaka, Takaharu Yaguchi, Tomoharu Iwata, Naonori Ueda |
| 2025 | ICASSP | Hyperbolic PHATE: Visualizing Continuous Hierarchy of Latent Differentiation Structures. | Masahiro Nakano, Hiroki Sakuma, Ryo Nishikimi, Kenji Komiya, Tomoharu Iwata, Kunio Kashino |
| 2025 | ICLR | Positive-Unlabeled Diffusion Models for Preventing Sensitive Data Generation. | Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai, Yuuki Yamanaka, Tomoya Yamashita |
| 2025 | ICML | Learning to Generate Projections for Reducing Dimensionality of Heterogeneous Linear Programming Problems. | Tomoharu Iwata, Shinsaku Sakaue |
| 2025 | ICML | K2IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes. | Hideaki Kim, Tomoharu Iwata, Akinori Fujino |
| 2025 | ICML | Positive-unlabeled AUC Maximization under Covariate Shift. | Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Taishi Nishiyama, Kazuki Adachi, Yasuhiro Fujiwara |
| 2025 | SDM | Meta-learning of Class Knowledge in Zero-shot Learning. | Yuta Nambu, Masahiro Kohjima, Tomoharu Iwata, Ryuji Yamamoto |
| 2024 | AAAI | Zero-Shot Task Adaptation with Relevant Feature Information. | Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara |
| 2024 | AISTATS | Information-theoretic Analysis of Bayesian Test Data Sensitivity. | Futoshi Futami, Tomoharu Iwata |
| 2024 | AISTATS | Warped Diffusion for Latent Differentiation Inference. | Masahiro Nakano, Hiroki Sakuma, Ryo Nishikimi, Ryohei Shibue, Takashi Sato, Tomoharu Iwata, Kunio Kashino |
| 2024 | AISTATS | Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers. | Yuya Yoshikawa, Tomoharu Iwata |
| 2024 | IJCAI | Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics. | Tomoharu Iwata, Yusuke Tanaka |
| 2023 | AISTATS | Meta-learning for Robust Anomaly Detection. | Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Yasuhiro Fujiwara |
| 2023 | ICWSM | Personal History Affects Reference Points: A Case Study of Codeforces. | Takeshi Kurashima, Tomoharu Iwata, Tomu Tominaga, Shuhei Yamamoto, Hiroyuki Toda, Kazuhisa Takemura |
| 2022 | AISTATS | Predictive variational Bayesian inference as risk-seeking optimization. | Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama |
| 2022 | ICASSP | Tight Integration Of Neural- And Clustering-Based Diarization Through Deep Unfolding Of Infinite Gaussian Mixture Model. | Keisuke Kinoshita, Marc Delcroix, Tomoharu Iwata |
| 2022 | IJCNN | Transfer Anomaly Detection for Maximizing the Partial AUC. | Atsutoshi Kumagai, Tomoharu Iwata, Taishi Nishiyama, Yasuhiro Fujiwara |
| 2022 | KDD | Predicting Opinion Dynamics via Sociologically-Informed Neural Networks. | Maya Okawa, Tomoharu Iwata |
| 2022 | KDD | Learning Optimal Priors for Task-Invariant Representations in Variational Autoencoders. | Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai, Sekitoshi Kanai, Masanori Yamada, Yuki Yamanaka, Hisashi Kashima |
| 2021 | ACML | Skew-symmetrically perturbed gradient flow for convex optimization. | Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Ikko Yamane |
| 2021 | EACL | Context-aware Neural Machine Translation with Mini-batch Embedding. | Makoto Morishita, Jun Suzuki, Tomoharu Iwata, Masaaki Nagata |
| 2021 | IJCNN | Semi-supervised Anomaly Detection on Attributed Graphs. | Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara |
| 2021 | IM | Fault Detection of ICT systems with Deep Learning Model for Missing Data. | Kengo Tajiri, Tomoharu Iwata, Yoichi Matsuo, Keishiro Watanabe |
| 2021 | KDD | Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes. | Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima |
| 2020 | AAAI | Semi-Supervised Learning for Maximizing the Partial AUC. | Tomoharu Iwata, Akinori Fujino, Naonori Ueda |
| 2020 | AAAI | Co-Occurrence Estimation from Aggregated Data with Auxiliary Information. | Tomoharu Iwata, Naoki Marumo |
| 2020 | ACML | Disentangled Representations for Sequence Data using Information Bottleneck Principle. | Masanori Yamada, Heecheol Kim, Kosuke Miyoshi, Tomoharu Iwata, Hiroshi Yamakawa |
| 2020 | ICASSP | Frame-Level Phoneme-Invariant Speaker Embedding for Text-Independent Speaker Recognition on Extremely Short Utterances. | Naohiro Tawara, Atsunori Ogawa, Tomoharu Iwata, Marc Delcroix, Tetsuji Ogawa |
| 2020 | ICML | Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance. | Yasutoshi Ida, Sekitoshi Kanai, Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima |
| 2020 | IROS | Reinforcement Learning in Latent Action Sequence Space. | Heecheol Kim, Masanori Yamada, Kosuke Miyoshi, Tomoharu Iwata, Hiroshi Yamakawa |
| 2020 | PRIMA | Deep Reinforcement Learning for Pedestrian Guidance. | Hitoshi Shimizu, Takanori Hara, Tomoharu Iwata |
| 2019 | AAAI | Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities. | Yusuke Tanaka, Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Kurashima, Maya Okawa, Hiroyuki Toda |
| 2019 | AAAI | Neural Collective Graphical Models for Estimating Spatio-Temporal Population Flow from Aggregated Data. | Tomoharu Iwata, Hitoshi Shimizu |
| 2019 | AAAI | Unsupervised Domain Adaptation by Matching Distributions Based on the Maximum Mean Discrepancy via Unilateral Transformations. | Atsutoshi Kumagai, Tomoharu Iwata |
| 2019 | AAAI | Variational Autoencoder with Implicit Optimal Priors. | Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi |
| 2019 | ACL | Unsupervised Multilingual Word Embedding with Limited Resources using Neural Language Models. | Takashi Wada, Tomoharu Iwata, Yuji Matsumoto |
| 2019 | ICASSP | A Unified Framework for Feature-based Domain Adaptation of Neural Network Language Models. | Michael Hentschel, Marc Delcroix, Atsunori Ogawa, Tomoharu Iwata, Tomohiro Nakatani |
| 2019 | ICASSP | Semi-supervised End-to-end Speech Recognition Using Text-to-speech and Autoencoders. | Shigeki Karita, Shinji Watanabe, Tomoharu Iwata, Marc Delcroix, Atsunori Ogawa, Tomohiro Nakatani |
| 2019 | ICDM | Transfer Metric Learning for Unseen Domains. | Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara |
| 2019 | KDD | Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information. | Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda |
| 2019 | PRICAI | Autoencoding Binary Classifiers for Supervised Anomaly Detection. | Yuki Yamanaka, Tomoharu Iwata, Hiroshi Takahashi, Masanori Yamada, Sekitoshi Kanai |
| 2018 | BMVC | Few-shot learning of neural networks from scratch by pseudo example optimization. | Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda |
| 2018 | ICASSP | Language Model Domain Adaptation Via Recurrent Neural Networks with Domain-Shared and Domain-Specific Representations. | Tsuyoshi Morioka, Naohiro Tawara, Tetsuji Ogawa, Atsunori Ogawa, Tomoharu Iwata, Tetsunori Kobayashi |
| 2018 | IJCAI | Student-t Variational Autoencoder for Robust Density Estimation. | Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi |
| 2018 | IJCAI | Estimating Latent People Flow without Tracking Individuals. | Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda |
| 2018 | Interspeech | Semi-Supervised End-to-End Speech Recognition. | Shigeki Karita, Shinji Watanabe, Tomoharu Iwata, Atsunori Ogawa, Marc Delcroix |
| 2018 | KDD | Learning Dynamics of Decision Boundaries without Additional Labeled Data. | Atsutoshi Kumagai, Tomoharu Iwata |
| 2018 | PAKDD | On Reducing Dimensionality of Labeled Data Efficiently. | Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima |
| 2018 | PRIMA | Improving Route Traffic Estimation by Considering Staying Population. | Hitoshi Shimizu, Tatsushi Matsubayashi, Yusuke Tanaka, Tomoharu Iwata, Naonori Ueda, Hiroshi Sawada |
| 2017 | AAAI | Read the Silence: Well-Timed Recommendation via Admixture Marked Point Processes. | Hideaki Kim, Tomoharu Iwata, Yasuhiro Fujiwara, Naonori Ueda |
| 2017 | AAAI | Learning Non-Linear Dynamics of Decision Boundaries for Maintaining Classification Performance. | Atsutoshi Kumagai, Tomoharu Iwata |
| 2017 | AISTATS | Localized Lasso for High-Dimensional Regression. | Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski |
| 2017 | DSAA | Latent Dimensionality Estimation for Probabilistic Canonical Correlation Analysis Using Normalized Maximum Likelihood Code-Length. | Tomohiko Nakmaura, Tomoharu Iwata, Kenji Yamanishi |
| 2017 | IJCAI | SVD-Based Screening for the Graphical Lasso. | Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda |
| 2017 | IJCAI | Learning Latest Classifiers without Additional Labeled Data. | Atsutoshi Kumagai, Tomoharu Iwata |
| 2017 | SIGMOD | Scaling Locally Linear Embedding. | Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda |
| 2016 | AAAI | Learning Future Classifiers without Additional Data. | Atsutoshi Kumagai, Tomoharu Iwata |
| 2016 | IJCAI | Identifying Key Observers to Find Popular Information in Advance. | Takuya Konishi, Tomoharu Iwata, Kohei Hayashi, Ken-ichi Kawarabayashi |
| 2016 | WSDM | Inferring Latent Triggers of Purchases with Consideration of Social Effects and Media Advertisements. | Yusuke Tanaka, Takeshi Kurashima, Yasuhiro Fujiwara, Tomoharu Iwata, Hiroshi Sawada |
| 2015 | AAAI | Non-Linear Regression for Bag-of-Words Data via Gaussian Process Latent Variable Set Model. | Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada |
| 2015 | AISTATS | Cross-domain recommendation without shared users or items by sharing latent vector distributions. | Tomoharu Iwata, Koh Takeuchi |
| 2015 | Interspeech | Multiscale recurrent neural network based language model. | Tsuyoshi Morioka, Tomoharu Iwata, Takaaki Hori, Tetsunori Kobayashi |
| 2014 | KDD | Probabilistic latent network visualization: inferring and embedding diffusion networks. | Takeshi Kurashima, Tomoharu Iwata, Noriko Takaya, Hiroshi Sawada |
| 2014 | UAI | Generating structure of latent variable models for nested data. | Masakazu Ishihata, Tomoharu Iwata |
| 2013 | AAAI | Unsupervised Cluster Matching via Probabilistic Latent Variable Models. | Tomoharu Iwata, Tsutomu Hirao, Naonori Ueda |
| 2013 | ACL | Latent Semantic Matching: Application to Cross-language Text Categorization without Alignment Information. | Tsutomu Hirao, Tomoharu Iwata, Masaaki Nagata |
| 2013 | AISTATS | Active Learning for Interactive Visualization. | Tomoharu Iwata, Neil Houlsby, Zoubin Ghahramani |
| 2013 | APWEB | A Probabilistic Model for Diversifying Recommendation Lists. | Yutaka Kabutoya, Tomoharu Iwata, Hiroyuki Toda, Hiroyuki Kitagawa |
| 2013 | CIKM | Clustering-based anomaly detection in multi-view data. | Alejandro Marcos Alvarez, Makoto Yamada, Akisato Kimura, Tomoharu Iwata |
| 2013 | ICDM | A Probabilistic Behavior Model for Discovering Unrecognized Knowledge. | Takeshi Kurashima, Tomoharu Iwata, Noriko Takaya, Hiroshi Sawada |
| 2013 | KDD | Discovering latent influence in online social activities via shared cascade poisson processes. | Tomoharu Iwata, Amar Shah, Zoubin Ghahramani |
| 2013 | UAI | Warped Mixtures for Nonparametric Cluster Shapes. | Tomoharu Iwata, David Duvenaud, Zoubin Ghahramani |
| 2013 | WSDM | Geo topic model: joint modeling of user's activity area and interests for location recommendation. | Takeshi Kurashima, Tomoharu Iwata, Takahide Hoshide, Noriko Takaya, Ko Fujimura |
| 2012 | ICASSP | Handling uncertain observations in unsupervised topic-mixture language model adaptation. | Ekapol Chuangsuwanich, Shinji Watanabe, Takaaki Hori, Tomoharu Iwata, James R. Glass |
| 2012 | ICASSP | Effect of dialog acts on word use in polylogue. | Roland Roller, Shinji Watanabe, Tomoharu Iwata |
| 2012 | ICWSM | Creating Stories: Social Curation of Twitter Messages. | Kevin Duh, Tsutomu Hirao, Akisato Kimura, Katsuhiko Ishiguro, Tomoharu Iwata, Ching-man Au Yeung |
| 2012 | KDD | Fast mining and forecasting of complex time-stamped events. | Yasuko Matsubara, Yasushi Sakurai, Christos Faloutsos, Tomoharu Iwata, Masatoshi Yoshikawa |
| 2011 | AAAI | Transfer Learning for Multiple-Domain Sentiment Analysis - Identifying Domain Dependent/Independent Word Polarity. | Yasuhisa Yoshida, Tsutomu Hirao, Tomoharu Iwata, Masaaki Nagata, Yuji Matsumoto |
| 2011 | CIKM | Extracting multi-dimensional relations: a generative model of groups of entities in a corpus. | Ching-man Au Yeung, Tomoharu Iwata |
| 2011 | HCI | Modelling User Behaviour and Interactions: Augmented Cognition on the Social Web. | Ching-man Au Yeung, Tomoharu Iwata |
| 2011 | IJCAI | Fashion Coordinates Recommender System Using Photographs from Fashion Magazines. | Tomoharu Iwata, Shinji Watanabe, Hiroshi Sawada |
| 2011 | Interspeech | Learning Influences from Word Use in Polylogue. | Tomoharu Iwata, Shinji Watanabe |
| 2011 | WSDM | Strength of social influence in trust networks in product review sites. | Ching-man Au Yeung, Tomoharu Iwata |
| 2010 | ACL | Learning Common Grammar from Multilingual Corpus. | Tomoharu Iwata, Daichi Mochihashi, Hiroshi Sawada |
| 2010 | CIKM | Travel route recommendation using geotags in photo sharing sites. | Takeshi Kurashima, Tomoharu Iwata, Go Irie, Ko Fujimura |
| 2010 | ICCE | Statistical Learning-based Approach for Automatic Generation System of Multiple-choice Cloze Questions. | Tomoko Kojiri, Takuya Goto, Toyohide Watanabe, Tomoharu Iwata, Takeshi Yamada |
| 2010 | ICWSM | Effective Question Recommendation Based on Multiple Features for Question Answering Communities. | Yutaka Kabutoya, Tomoharu Iwata, Hisako Shiohara, Ko Fujimura |
| 2010 | KDD | Online multiscale dynamic topic models. | Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, Naonori Ueda |
| 2010 | WISE | Modeling Multiple Users' Purchase over a Single Account for Collaborative Filtering. | Yutaka Kabutoya, Tomoharu Iwata, Ko Fujimura |
| 2009 | IJCAI | Topic Tracking Model for Analyzing Consumer Purchase Behavior. | Tomoharu Iwata, Shinji Watanabe, Takeshi Yamada, Naonori Ueda |
| 2008 | KDD | Probabilistic latent semantic visualization: topic model for visualizing documents. | Tomoharu Iwata, Takeshi Yamada, Naonori Ueda |
| 2008 | KES | English Grammar Learning System Based on Knowledge Network of Fill-in-the-Blank Exercises. | Takuya Goto, Tomoko Kojiri, Toyohide Watanabe, Takeshi Yamada, Tomoharu Iwata |
| 2008 | PRICAI | Recommendation Algorithm for Learning Materials That Maximizes Expected Test Scores. | Tomoharu Iwata, Tomoko Kojiri, Takeshi Yamada, Toyohide Watanabe |
| 2007 | KES | Organization of Discussion Knowledge Graph from Collaborative Learning Record. | Masahide Kakehi, Tomoko Kojiri, Toyohide Watanabe, Takeshi Yamada, Tomoharu Iwata |
| 2007 | WWW | Modeling user behavior in recommender systems based on maximum entropy. | Tomoharu Iwata, Kazumi Saito, Takeshi Yamada |
| 2006 | ESANN | Visual nonlinear discriminant analysis for classifier design. | Tomoharu Iwata, Kazumi Saito, Naonori Ueda |
| 2006 | KDD | Recommendation method for extending subscription periods. | Tomoharu Iwata, Kazumi Saito, Takeshi Yamada |
| 2004 | KES | Visualisation of Anomaly Using Mixture Model. | Tomoharu Iwata, Kazumi Saito |