Tomoharu Iwata

Tomoharu Iwata, Shinji Watanabe, Tomohiro Nakatani, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Few-shot Learning for Time-series Forecasting pdf

Atsutoshi Kumagai, Tomoharu Iwata, Tomoharu Iwata, 2020, ArXiv.

Travel route recommendation using geotags in photo sharing sites

Tomoharu Iwata, Go Irie, Ko Fujimura, 2010, CIKM.

Tight Integration Of Neural- And Clustering-Based Diarization Through Deep Unfolding Of Infinite Gaussian Mixture Model

K. Kinoshita, Tomoharu Iwata, Marc Delcroix, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Student-t Variational Autoencoder for Robust Density Estimation

Hiroshi Takahashi, Tomoharu Iwata, Satoshi Yagi, 2018, IJCAI.

Fashion Coordinates Recommender System Using Photographs from Fashion Magazines

Tomoharu Iwata, Shinji Watanabe, Hiroshi Sawada, 2011, IJCAI.

Fast mining and forecasting of complex time-stamped events

Christos Faloutsos, Tomoharu Iwata, Masatoshi Yoshikawa, 2012, KDD.

Learning Common Grammar from Multilingual Corpus

Tomoharu Iwata, Hiroshi Sawada, Daichi Mochihashi, 2010, ACL.

Anomaly detection with inexact labels

Tomoharu Iwata, Machiko Toyoda, Naonori Ueda, 2019, Machine Learning.

Managing information disparity in multilingual document collections

Kevin Duh, Tomoharu Iwata, Masaaki Nagata, 2013, TSLP.

Automatic Generation System of Multiple-Choice Cloze Questions and its Evaluation

Tomoko Kojiri, Toyohide Watanabe, Tomoharu Iwata, 2010 .

Travel route recommendation using geotagged photos

Tomoharu Iwata, Takeshi Kurashima, Ko Fujimura, 2013, Knowledge and Information Systems.

Modeling Social Annotation Data with Content Relevance using a Topic Model

Naonori Ueda, Tomoharu Iwata, Takeshi Yamada, 2009, NIPS.

Topic Models for Unsupervised Cluster Matching

Naonori Ueda, Tomoharu Iwata, Tsutomu Hirao, 2018, IEEE Transactions on Knowledge and Data Engineering.

Finding Appropriate Traffic Regulations via Graph Convolutional Networks pdf

Naonori Ueda, Tomoharu Iwata, Hiroshi Sawada, 2018, ArXiv.

Clustering-based anomaly detection in multi-view data

Tomoharu Iwata, Makoto Yamada, Akisato Kimura, 2013, CIKM.

Gaussian Process Regression With Interpretable Sample-Wise Feature Weights.

Tomoharu Iwata, Yuya Yoshikawa, 2021, IEEE transactions on neural networks and learning systems.

Application of Cluster Analysis to GNSS Data in the Angular Velocity Space: Identification of Crustal Blocks and Evaluation of Plate Interaction

Tomoharu Iwata, Koh Takeuchi, Tomohisa Okazaki, 2017 .

Meta-learning for Robust Anomaly Detection

Tomoharu Iwata, Atsutoshi Kumagai, Hiroshi Takahashi, 2023, AISTATS.

Meta-Learning for Relative Density-Ratio Estimation pdf

Tomoharu Iwata, Atsutoshi Kumagai, Yasuhiro Fujiwara, 2021, NeurIPS.

Learning Dynamics of Decision Boundaries without Additional Labeled Data

Tomoharu Iwata, Atsutoshi Kumagai, Tomoharu Iwata, 2018, KDD.

Learning Latest Classifiers without Additional Labeled Data

Tomoharu Iwata, Atsutoshi Kumagai, Tomoharu Iwata, 2017, IJCAI.

Learning Non-Linear Dynamics of Decision Boundaries for Maintaining Classification Performance

Tomoharu Iwata, Atsutoshi Kumagai, Tomoharu Iwata, 2017, AAAI.

Learning Future Classifiers without Additional Data

Tomoharu Iwata, Atsutoshi Kumagai, Tomoharu Iwata, 2016, AAAI.

Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression pdf

Tomoharu Iwata, Atsutoshi Kumagai, Sekitoshi Kanai, 2021, ArXiv.

Variational Autoencoder with Implicit Optimal Priors

Hiroshi Takahashi, Tomoharu Iwata, Satoshi Yagi, 2018, AAAI.

Frame-Level Phoneme-Invariant Speaker Embedding for Text-Independent Speaker Recognition on Extremely Short Utterances

Tetsuji Ogawa, Marc Delcroix, Atsunori Ogawa, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Recommendation for English multiple-choice cloze questions based on expected test scores

Tomoko Kojiri, Toyohide Watanabe, Tomoharu Iwata, 2011, Int. J. Knowl. Based Intell. Eng. Syst..

Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs

Tomoharu Iwata, Yusuke Tanaka, Toshiyuki Tanaka, 2019, NeurIPS.

Few-shot learning for spatial regression via neural embedding-based Gaussian processes

Tomoharu Iwata, Yusuke Tanaka, 2021, Machine Learning.

Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information

Naonori Ueda, Tomoharu Iwata, Hiroyuki Toda, 2019, KDD.

Meta-Learning for Koopman Spectral Analysis with Short Time-series

Tomoharu Iwata, Yoshinobu Kawahara, 2021, ArXiv.

Neural Dynamic Mode Decomposition for End-to-End Modeling of Nonlinear Dynamics pdf

Yoshinobu Kawahara, Tomoharu Iwata, Y. Kawahara, 2020, Journal of Computational Dynamics.

Refining Coarse-grained Spatial Data using Auxiliary Spatial Data Sets with Various Granularities pdf

Tomoharu Iwata, Toshiyuki Tanaka, Hiroyuki Toda, 2018, AAAI.

Few-shot Learning for Topic Modeling pdf

Tomoharu Iwata, Tomoharu Iwata, 2021, ArXiv.

Gaussian Process Regression With Interpretable Sample-Wise Feature Weights pdf

Yuya Yoshikawa, Tomoharu Iwata, Tomoharu Iwata, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Recommendation Method for Improving Customer Lifetime Value

Tomoharu Iwata, Kazumi Saito, Takeshi Yamada, 2008, IEEE Transactions on Knowledge and Data Engineering.

Purchase Pattern Analysis of Loyal Customers in Subscription Services

Tomoharu Iwata, Kazumi Saito, Takeshi Yamada, 2007 .

Effect of dialog acts on word use in polylogue

Tomoharu Iwata, Shinji Watanabe, Roland Roller, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Excess risk analysis for epistemic uncertainty with application to variational inference

Masashi Sugiyama, Issei Sato, M. Sugiyama, 2022, ArXiv.

Meta-learning for heterogeneous treatment effect estimation with closed-form solvers

Tomoharu Iwata, Yoichi Chikahara, 2023, arXiv.org.

Learning Contextualised Cross-lingual Word Embeddings and Alignments for Extremely Low-Resource Languages Using Parallel Corpora pdf

Timothy Baldwin, Jey Han Lau, Yuji Matsumoto, 2020, MRL.

Personal History Affects Reference Points: A Case Study of Codeforces

K. Takemura, Tomoharu Iwata, Takeshi Kurashima, 2023, ICWSM.

Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes

Hisashi Kashima, Tomoharu Iwata, Yusuke Tanaka, 2021, KDD.

Non-Linear Regression for Bag-of-Words Data via Gaussian Process Latent Variable Set Model

Tomoharu Iwata, Hiroshi Sawada, Yuya Yoshikawa, 2015, AAAI.

Unsupervised Object Matching for Relational Data pdf

Naonori Ueda, Tomoharu Iwata, N. Ueda, 2018, ArXiv.

Creating Stories from Socially Curated Microblog Messages

Kevin Duh, Tomoharu Iwata, Tsutomu Hirao, 2014, IEICE Trans. Inf. Syst..

Dynamic mode decomposition via convolutional autoencoders for dynamics modeling in videos

Tomoharu Iwata, Yoshinobu Kawahara, I. Haq, 2022, Comput. Vis. Image Underst..

Recommendation method for extending subscription periods

Tomoharu Iwata, Kazumi Saito, Takeshi Yamada, 2006, KDD '06.

Topic model for analyzing purchase data with price information

Tomoharu Iwata, Hiroshi Sawada, Tomoharu Iwata, 2013, Data Mining and Knowledge Discovery.

Influence relation estimation based on lexical entrainment in conversation

Shinji Watanabe, Tomoharu Iwata, Shinji Watanabe, 2013, Speech Commun..

Sequential Modeling of Topic Dynamics with Multiple Timescales

Naonori Ueda, Tomoharu Iwata, Yasushi Sakurai, 2012, TKDD.

Topic tracking language model for speech recognition

Yasuo Ariki, Tomoharu Iwata, Shinji Watanabe, 2011, Comput. Speech Lang..

Application of topic tracking model to language model adaptation and meeting analysis

Yasuo Ariki, Tomoharu Iwata, Shinji Watanabe, 2010, 2010 IEEE Spoken Language Technology Workshop.

Probabilistic user behavior models in online stores for recommender systems

Tomoharu Iwata, Tomoharu Iwata, 2008 .

Travel route recommendation using geotagged photos

Tomoharu Iwata, Go Irie, Ko Fujimura, 2012, Knowledge and Information Systems.

Structurally Regularized Non-negative Tensor Factorization for Spatio-Temporal Pattern Discoveries

Koh Takeuchi, Tomoharu Iwata, Yoshinobu Kawahara, 2017, ECML/PKDD.

Meta-Active Learning for Node Response Prediction in Graphs pdf

Tomoharu Iwata, Tomoharu Iwata, 2020, ArXiv.

Meta-Active Learning for Node Response Prediction in Graphs

Tomoharu Iwata, A. Preprint, Infinite Graphs, 2020, ArXiv.

Reinforcement Learning in Latent Action Sequence Space

Tomoharu Iwata, H. Yamakawa, Kosuke Miyoshi, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Information-theoretic Analysis of Test Data Sensitivity in Uncertainty

Tomoharu Iwata, Futoshi Futami, 2023, ArXiv.

Loss function based second-order Jensen inequality and its application to particle variational inference pdf

Naonori Ueda, Tomoharu Iwata, Masashi Sugiyama, 2021, NeurIPS.

Collaboration on Social Media: Analyzing Successful Projects on Social Coding pdf

Tomoharu Iwata, Hiroshi Sawada, Yuya Yoshikawa, 2014, ArXiv.

Scaling Locally Linear Embedding

Koh Takeuchi, Naonori Ueda, Tomoharu Iwata, 2017, SIGMOD Conference.

Estimating People Flow from Spatiotemporal Population Data via Collective Graphical Mixture Models

Naonori Ueda, Tomoharu Iwata, Futoshi Naya, 2017, ACM Trans. Spatial Algorithms Syst..

Language Model Domain Adaptation Via Recurrent Neural Networks with Domain-Shared and Domain-Specific Representations

Tetsuji Ogawa, Tetsunori Kobayashi, Tomoharu Iwata, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Robust unsupervised cluster matching for network data

Tomoharu Iwata, Katsuhiko Ishiguro, Katsuhiko Ishiguro, 2017, Data Mining and Knowledge Discovery.

Unsupervised Many-to-Many Object Matching for Relational Data

Tomoharu Iwata, Zoubin Ghahramani, James Robert Lloyd, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Cross-domain recommendation without shared users or items by sharing latent vector distributions

Koh Takeuchi, Tomoharu Iwata, Tomoharu Iwata, 2015, AISTATS.

A Unified Framework for Feature-based Domain Adaptation of Neural Network Language Models

Tomoharu Iwata, Tomohiro Nakatani, Marc Delcroix, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Modeling user behavior in recommender systems based on maximum entropy

Tomoharu Iwata, Kazumi Saito, Takeshi Yamada, 2007, WWW '07.

Transfer Metric Learning for Unseen Domains

Atsutoshi Kumagai, Yasuhiro Fujiwara, Tomoharu Iwata, 2019, Data Science and Engineering.

Semi-supervised Anomaly Detection on Attributed Graphs pdf

Atsutoshi Kumagai, Yasuhiro Fujiwara, Tomoharu Iwata, 2020, 2021 International Joint Conference on Neural Networks (IJCNN).

Bidirectional Semi-supervised Learning with Graphs

Kevin Duh, Tomoharu Iwata, Kevin Duh, 2012, ECML/PKDD.

Zero-shot Domain Adaptation without Domain Semantic Descriptors pdf

Tomoharu Iwata, Atsutoshi Kumagai, Tomoharu Iwata, 2018, ArXiv.

Probabilistic latent variable models for unsupervised many-to-many object matching

Naonori Ueda, Tomoharu Iwata, Tsutomu Hirao, 2016, Inf. Process. Manag..