Tomoharu Iwata

According to our database, Tomoharu Iwata authored at least 194 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Tomoharu Iwata, Yoichi Chikahara

Mach. Learn., September, 2024

Meta-learning to calibrate Gaussian processes with deep kernels for regression uncertainty estimation.

Tomoharu Iwata, Atsutoshi Kumagai

Neurocomputing, 2024

Deep Koopman-layered Model with Universal Property Based on Toeplitz Matrices.

Yuka Hashimoto, Tomoharu Iwata

CoRR, 2024

Meta-learning for Positive-unlabeled Classification.

Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara

CoRR, 2024

Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data.

Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai, Yuki Yamanaka

CoRR, 2024

Neural Operators Meet Energy-based Theory: Operator Learning for Hamiltonian and Dissipative PDEs.

Yusuke Tanaka, Takaharu Yaguchi, Tomoharu Iwata, Naonori Ueda

CoRR, 2024

Meta-Learning for Neural Network-based Temporal Point Processes.

Yoshiaki Takimoto, Yusuke Tanaka, Tomoharu Iwata, Maya Okawa, Hideaki Kim, Hiroyuki Toda, Takeshi Kurashima

CoRR, 2024

Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics.

Tomoharu Iwata, Yusuke Tanaka

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers.

Yuya Yoshikawa, Tomoharu Iwata

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Warped Diffusion for Latent Differentiation Inference.

Masahiro Nakano, Hiroki Sakuma, Ryo Nishikimi, Ryohei Shibue, Takashi Sato, Tomoharu Iwata, Kunio Kashino

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Information-theoretic Analysis of Bayesian Test Data Sensitivity.

Futoshi Futami, Tomoharu Iwata

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Zero-Shot Task Adaptation with Relevant Feature Information.

Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Gaussian Process Regression With Interpretable Sample-Wise Feature Weights.

Yuya Yoshikawa, Tomoharu Iwata

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Meta-learning representations for clustering with infinite Gaussian mixture models.

Tomoharu Iwata

Neurocomputing, September, 2023

Meta-learning of semi-supervised learning from tasks with heterogeneous attribute spaces.

Tomoharu Iwata, Atsutoshi Kumagai

CoRR, 2023

Meta-learning of Physics-informed Neural Networks for Efficiently Solving Newly Given PDEs.

Tomoharu Iwata, Yusuke Tanaka, Naonori Ueda

CoRR, 2023

Information-theoretic Analysis of Test Data Sensitivity in Uncertainty.

Futoshi Futami, Tomoharu Iwata

CoRR, 2023

Personal History Affects Reference Points: A Case Study of Codeforces.

Takeshi Kurashima, Tomoharu Iwata, Tomu Tominaga, Shuhei Yamamoto, Hiroyuki Toda, Kazuhisa Takemura

Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

School Families: A New Formulation of School District Planning Problem.

Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada, Keiichi Yasumoto

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

Meta-learning for Robust Anomaly Detection.

Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Yasuhiro Fujiwara

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Probabilistic Pedestrian Models for Estimating Unobserved Road Populations.

Tomoharu Iwata, Hitoshi Shimizu, Naoki Marumo

IEEE Trans. Intell. Transp. Syst., 2022

Context-aware spatio-temporal event prediction via convolutional Hawkes processes.

Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda, Hisashi Kashima

Mach. Learn., 2022

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

Tomoharu Iwata, Yusuke Tanaka

Mach. Learn., 2022

Neural generators of sparse local linear models for achieving both accuracy and interpretability.

Yuya Yoshikawa, Tomoharu Iwata

Inf. Fusion, 2022

Multi-Source Domain Generalization Using Domain Attributes for Recurrent Neural Network Language Models.

Naohiro Tawara, Atsunori Ogawa, Tomoharu Iwata, Hiroto Ashikawa, Tetsunori Kobayashi, Tetsuji Ogawa

IEICE Trans. Inf. Syst., 2022

Dynamic mode decomposition via convolutional autoencoders for dynamics modeling in videos.

Israr Ul Haq, Tomoharu Iwata, Yoshinobu Kawahara

Comput. Vis. Image Underst., 2022

Modeling Nonlinear Dynamics in Continuous Time with Inductive Biases on Decay Rates and/or Frequencies.

Tomoharu Iwata, Yoshinobu Kawahara

CoRR, 2022

Linear Embedding-based High-dimensional Batch Bayesian Optimization without Reconstruction Mappings.

Shuhei A. Horiguchi, Tomoharu Iwata, Taku Tsuzuki, Yosuke Ozawa

CoRR, 2022

Active Learning for Regression with Aggregated Outputs.

Tomoharu Iwata

CoRR, 2022

Data-driven End-to-end Learning of Pole Placement Control for Nonlinear Dynamics via Koopman Invariant Subspaces.

Tomoharu Iwata, Yoshinobu Kawahara

CoRR, 2022

Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains.

Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda

CoRR, 2022

Meta-learning for Out-of-Distribution Detection via Density Estimation in Latent Space.

Tomoharu Iwata, Atsutoshi Kumagai

CoRR, 2022

Excess risk analysis for epistemic uncertainty with application to variational inference.

Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama

CoRR, 2022

Few-shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion.

Atsutoshi Kumagai, Tomoharu Iwata, Yasutoshi Ida, Yasuhiro Fujiwara

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sharing Knowledge for Meta-learning with Feature Descriptions.

Tomoharu Iwata, Atsutoshi Kumagai

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data.

Yusuke Tanaka, Tomoharu Iwata, Naonori Ueda

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Optimal Priors for Task-Invariant Representations in Variational Autoencoders.

Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai, Sekitoshi Kanai, Masanori Yamada, Yuki Yamanaka, Hisashi Kashima

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Predicting Opinion Dynamics via Sociologically-Informed Neural Networks.

Maya Okawa, Tomoharu Iwata

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Transfer Anomaly Detection for Maximizing the Partial AUC.

Atsutoshi Kumagai, Tomoharu Iwata, Taishi Nishiyama, Yasuhiro Fujiwara

Proceedings of the International Joint Conference on Neural Networks, 2022

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

Keisuke Kinoshita, Marc Delcroix, Tomoharu Iwata

Proceedings of the IEEE International Conference on Acoustics, 2022

Evacuation Shelter Scheduling Problem.

Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada, Keiichi Yasumoto

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

Predictive variational Bayesian inference as risk-seeking optimization.

Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Accelerated Diffusion-Based Sampling by the Non-Reversible Dynamics with Skew-Symmetric Matrices.

Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato

Entropy, 2021

Training Deep Models to be Explained with Fewer Examples.

Tomoharu Iwata, Yuya Yoshikawa

CoRR, 2021

End-to-End Learning of Deep Kernel Acquisition Functions for Bayesian Optimization.

Tomoharu Iwata

CoRR, 2021

Few-shot Learning for Unsupervised Feature Selection.

Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara

CoRR, 2021

Meta-learning for Matrix Factorization without Shared Rows or Columns.

Tomoharu Iwata

CoRR, 2021

Few-shot Learning for Topic Modeling.

Tomoharu Iwata

CoRR, 2021

Meta-learning One-class Classifiers with Eigenvalue Solvers for Supervised Anomaly Detection.

Tomoharu Iwata, Atsutoshi Kumagai

CoRR, 2021

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

Tomoharu Iwata, Yoshinobu Kawahara

CoRR, 2021

Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression.

Masanori Yamada, Sekitoshi Kanai, Tomoharu Iwata, Tomokatsu Takahashi, Yuki Yamanaka, Hiroshi Takahashi, Atsutoshi Kumagai

CoRR, 2021

Time-delayed collective flow diffusion models for inferring latent people flow from aggregated data at limited locations.

Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda, Toshiyuki Tanaka

Artif. Intell., 2021

Meta-Learning for Relative Density-Ratio Estimation.

Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Fault Detection of ICT systems with Deep Learning Model for Missing Data.

Kengo Tajiri, Tomoharu Iwata, Yoichi Matsuo, Keishiro Watanabe

Proceedings of the 17th IFIP/IEEE International Symposium on Integrated Network Management, 2021

Semi-supervised Anomaly Detection on Attributed Graphs.

Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara

Proceedings of the International Joint Conference on Neural Networks, 2021

Unsupervised Heart Sound Decomposition and State Estimation with Generative Oscillation Models.

Ryohei Shibue, Masahiro Nakano, Tomoharu Iwata, Kunio Kashino, Hitonobu Tomoike

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Context-aware Neural Machine Translation with Mini-batch Embedding.

Makoto Morishita, Jun Suzuki, Tomoharu Iwata, Masaaki Nagata

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Controlling Nonlinear Dynamical Systems with Linear Quadratic Regulator-based Policy Networks in Koopman space.

Tomoharu Iwata, Yoshinobu Kawahara

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Skew-symmetrically perturbed gradient flow for convex optimization.

Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Ikko Yamane

Proceedings of the Asian Conference on Machine Learning, 2021

2020

Anomaly detection with inexact labels.

Tomoharu Iwata, Machiko Toyoda, Shotaro Tora, Naonori Ueda

Mach. Learn., 2020

Transfer Metric Learning for Unseen Domains.

Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara

Data Sci. Eng., 2020

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

Tomoharu Iwata, Yoshinobu Kawahara

CoRR, 2020

Learning Contextualised Cross-lingual Word Embeddings for Extremely Low-Resource Languages Using Parallel Corpora.

Takashi Wada, Tomoharu Iwata, Yuji Matsumoto, Timothy Baldwin, Jey Han Lau

CoRR, 2020

Meta-Active Learning for Node Response Prediction in Graphs.

Tomoharu Iwata

CoRR, 2020

Few-shot Learning for Spatial Regression.

Tomoharu Iwata, Yusuke Tanaka

CoRR, 2020

Few-shot Learning for Time-series Forecasting.

Tomoharu Iwata, Atsutoshi Kumagai

CoRR, 2020

Gaussian Process Regression with Local Explanation.

Yuya Yoshikawa, Tomoharu Iwata

CoRR, 2020

Probabilistic Optimal Transport based on Collective Graphical Models.

Yasunori Akagi, Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda

CoRR, 2020

Deep Reinforcement Learning for Pedestrian Guidance.

Hitoshi Shimizu, Takanori Hara, Tomoharu Iwata

Proceedings of the PRIMA 2020: Principles and Practice of Multi-Agent Systems, 2020

Meta-learning from Tasks with Heterogeneous Attribute Spaces.

Tomoharu Iwata, Atsutoshi Kumagai

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Reinforcement Learning in Latent Action Sequence Space.

Heecheol Kim, Masanori Yamada, Kosuke Miyoshi, Tomoharu Iwata, Hiroshi Yamakawa

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance.

Yasutoshi Ida, Sekitoshi Kanai, Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima

Proceedings of the 37th International Conference on Machine Learning, 2020

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

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Noise-robust Attention Learning for End-to-End Speech Recognition.

Yosuke Higuchi, Naohiro Tawara, Atsunori Ogawa, Tomoharu Iwata, Tetsunori Kobayashi, Tetsuji Ogawa

Proceedings of the 28th European Signal Processing Conference, 2020

Disentangled Representations for Sequence Data using Information Bottleneck Principle.

Masanori Yamada, Heecheol Kim, Kosuke Miyoshi, Tomoharu Iwata, Hiroshi Yamakawa

Proceedings of The 12th Asian Conference on Machine Learning, 2020

Co-Occurrence Estimation from Aggregated Data with Auxiliary Information.

Tomoharu Iwata, Naoki Marumo

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Semi-Supervised Learning for Maximizing the Partial AUC.

Tomoharu Iwata, Akinori Fujino, Naonori Ueda

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Feature Based Domain Adaptation for Neural Network Language Models with Factorised Hidden Layers.

Michael Hentschel, Marc Delcroix, Atsunori Ogawa, Tomoharu Iwata, Tomohiro Nakatani

IEICE Trans. Inf. Syst., 2019

Efficient Transfer Bayesian Optimization with Auxiliary Information.

Tomoharu Iwata, Takuma Otsuka

CoRR, 2019

Supervised Anomaly Detection based on Deep Autoregressive Density Estimators.

Tomoharu Iwata, Yuki Yamanaka

CoRR, 2019

Autoencoding Binary Classifiers for Supervised Anomaly Detection.

Yuki Yamanaka, Tomoharu Iwata, Hiroshi Takahashi, Masanori Yamada, Sekitoshi Kanai

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Transfer Anomaly Detection by Inferring Latent Domain Representations.

Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs.

Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

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

Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Bayesian Optimization for Crowd Traffic Control Using Multi-Agent Simulation.

Takuma Otsuka, Hitoshi Shimizu, Tomoharu Iwata, Futoshi Naya, Hiroshi Sawada, Naonori Ueda

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

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

Proceedings of the IEEE International Conference on Acoustics, 2019

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

Michael Hentschel, Marc Delcroix, Atsunori Ogawa, Tomoharu Iwata, Tomohiro Nakatani

Proceedings of the IEEE International Conference on Acoustics, 2019

Unsupervised Multilingual Word Embedding with Limited Resources using Neural Language Models.

Takashi Wada, Tomoharu Iwata, Yuji Matsumoto

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Variational Autoencoder with Implicit Optimal Priors.

Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Unsupervised Domain Adaptation by Matching Distributions Based on the Maximum Mean Discrepancy via Unilateral Transformations.

Atsutoshi Kumagai, Tomoharu Iwata

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Neural Collective Graphical Models for Estimating Spatio-Temporal Population Flow from Aggregated Data.

Tomoharu Iwata, Hitoshi Shimizu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

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

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Topic Models for Unsupervised Cluster Matching.

Tomoharu Iwata, Tsutomu Hirao, Naonori Ueda

IEEE Trans. Knowl. Data Eng., 2018

Finding Appropriate Traffic Regulations via Graph Convolutional Networks.

Tomoharu Iwata, Takuma Otsuka, Hitoshi Shimizu, Hiroshi Sawada, Futoshi Naya, Naonori Ueda

CoRR, 2018

Unsupervised Object Matching for Relational Data.

Tomoharu Iwata, Naonori Ueda

CoRR, 2018

Unsupervised Cross-lingual Word Embedding by Multilingual Neural Language Models.

Takashi Wada, Tomoharu Iwata

CoRR, 2018

Zero-shot Domain Adaptation without Domain Semantic Descriptors.

Atsutoshi Kumagai, Tomoharu Iwata

CoRR, 2018

Imitation networks: Few-shot learning of neural networks from scratch.

Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda

CoRR, 2018

Improving Route Traffic Estimation by Considering Staying Population.

Hitoshi Shimizu, Tatsushi Matsubayashi, Yusuke Tanaka, Tomoharu Iwata, Naonori Ueda, Hiroshi Sawada

Proceedings of the PRIMA 2018: Principles and Practice of Multi-Agent Systems - 21st International Conference, Tokyo, Japan, October 29, 2018

On Reducing Dimensionality of Labeled Data Efficiently.

Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Learning Dynamics of Decision Boundaries without Additional Labeled Data.

Atsutoshi Kumagai, Tomoharu Iwata

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Semi-Supervised End-to-End Speech Recognition.

Shigeki Karita, Shinji Watanabe, Tomoharu Iwata, Atsunori Ogawa, Marc Delcroix

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Estimating Latent People Flow without Tracking Individuals.

Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Student-t Variational Autoencoder for Robust Density Estimation.

Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

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

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Few-shot learning of neural networks from scratch by pseudo example optimization.

Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda

Proceedings of the British Machine Vision Conference 2018, 2018

Factorised Hidden Layer Based Domain Adaptation for Recurrent Neural Network Language Models.

Michael Hentschel, Marc Delcroix, Atsunori Ogawa, Tomoharu Iwata, Tomohiro Nakatani

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017

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

Tomoharu Iwata, Hitoshi Shimizu, Futoshi Naya, Naonori Ueda

ACM Trans. Spatial Algorithms Syst., 2017

Unsupervised group matching with application to cross-lingual topic matching without alignment information.

Tomoharu Iwata, Motonobu Kanagawa, Tsutomu Hirao, Kenji Fukumizu

Data Min. Knowl. Discov., 2017

Robust unsupervised cluster matching for network data.

Tomoharu Iwata, Katsuhiko Ishiguro

Data Min. Knowl. Discov., 2017

Scaling Locally Linear Embedding.

Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Robust Multi-view Topic Modeling by Incorporating Detecting Anomalies.

Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

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

Koh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Learning Latest Classifiers without Additional Labeled Data.

Atsutoshi Kumagai, Tomoharu Iwata

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

SVD-Based Screening for the Graphical Lasso.

Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Latent Dimensionality Estimation for Probabilistic Canonical Correlation Analysis Using Normalized Maximum Likelihood Code-Length.

Tomohiko Nakmaura, Tomoharu Iwata, Kenji Yamanishi

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Exploiting end of sentences and speaker alternations in language modeling for multiparty conversations.

Hiroto Ashikawa, Naohiro Tawara, Atsunori Ogawa, Tomoharu Iwata, Tetsunori Kobayashi, Tetsuji Ogawa

Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

Localized Lasso for High-Dimensional Regression.

Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

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

Atsutoshi Kumagai, Tomoharu Iwata

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Read the Silence: Well-Timed Recommendation via Admixture Marked Point Processes.

Hideaki Kim, Tomoharu Iwata, Yasuhiro Fujiwara, Naonori Ueda

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Unsupervised Many-to-Many Object Matching for Relational Data.

Tomoharu Iwata, James Robert Lloyd, Zoubin Ghahramani

IEEE Trans. Pattern Anal. Mach. Intell., 2016

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

Tomoharu Iwata, Tsutomu Hirao, Naonori Ueda

Inf. Process. Manag., 2016

Sparse Network Lasso for Local High-dimensional Regression.

Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski

CoRR, 2016

Inferring Latent Triggers of Purchases with Consideration of Social Effects and Media Advertisements.

Yusuke Tanaka, Takeshi Kurashima, Yasuhiro Fujiwara, Tomoharu Iwata, Hiroshi Sawada

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models.

Tomoharu Iwata, Makoto Yamada

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Identifying Key Observers to Find Popular Information in Advance.

Takuya Konishi, Tomoharu Iwata, Kohei Hayashi, Ken-ichi Kawarabayashi

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Learning Future Classifiers without Additional Data.

Atsutoshi Kumagai, Tomoharu Iwata

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Higher Order Fused Regularization for Supervised Learning with Grouped Parameters.

Koh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions.

Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada, Takeshi Yamada

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Multiscale recurrent neural network based language model.

Tsuyoshi Morioka, Tomoharu Iwata, Takaaki Hori, Tetsunori Kobayashi

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Real-time and proactive navigation via spatio-temporal prediction.

Naonori Ueda, Futoshi Naya, Hitoshi Shimizu, Tomoharu Iwata, Maya Okawa, Hiroshi Sawada

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

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

Tomoharu Iwata, Koh Takeuchi

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

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

Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Creating Stories from Socially Curated Microblog Messages.

Akisato Kimura, Kevin Duh, Tsutomu Hirao, Katsuhiko Ishiguro, Tomoharu Iwata, Albert Au Yeung

IEICE Trans. Inf. Syst., 2014

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

Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada

CoRR, 2014

Multi-view Anomaly Detection via Probabilistic Latent Variable Models.

Tomoharu Iwata, Makoto Yamada

CoRR, 2014

Generating structure of latent variable models for nested data.

Masakazu Ishihata, Tomoharu Iwata

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Latent Support Measure Machines for Bag-of-Words Data Classification.

Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Probabilistic latent network visualization: inferring and embedding diffusion networks.

Takeshi Kurashima, Tomoharu Iwata, Noriko Takaya, Hiroshi Sawada

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

Managing information disparity in multilingual document collections.

Kevin Duh, Ching-man Au Yeung, Tomoharu Iwata, Masaaki Nagata

ACM Trans. Speech Lang. Process., 2013

Modeling Noisy Annotated Data with Application to Social Annotation.

Tomoharu Iwata, Takeshi Yamada, Naonori Ueda

IEEE Trans. Knowl. Data Eng., 2013

Influence relation estimation based on lexical entrainment in conversation.

Tomoharu Iwata, Shinji Watanabe

Speech Commun., 2013

Travel route recommendation using geotagged photos.

Takeshi Kurashima, Tomoharu Iwata, Go Irie, Ko Fujimura

Knowl. Inf. Syst., 2013

Topic model for analyzing purchase data with price information.

Tomoharu Iwata, Hiroshi Sawada

Data Min. Knowl. Discov., 2013

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

Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Warped Mixtures for Nonparametric Cluster Shapes.

Tomoharu Iwata, David Duvenaud, Zoubin Ghahramani

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Discovering latent influence in online social activities via shared cascade poisson processes.

Tomoharu Iwata, Amar Shah, Zoubin Ghahramani

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

A Probabilistic Behavior Model for Discovering Unrecognized Knowledge.

Takeshi Kurashima, Tomoharu Iwata, Noriko Takaya, Hiroshi Sawada

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Clustering-based anomaly detection in multi-view data.

Alejandro Marcos Alvarez, Makoto Yamada, Akisato Kimura, Tomoharu Iwata

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

A Probabilistic Model for Diversifying Recommendation Lists.

Yutaka Kabutoya, Tomoharu Iwata, Hiroyuki Toda, Hiroyuki Kitagawa

Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

Active Learning for Interactive Visualization.

Tomoharu Iwata, Neil Houlsby, Zoubin Ghahramani

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Latent Semantic Matching: Application to Cross-language Text Categorization without Alignment Information.

Tsutomu Hirao, Tomoharu Iwata, Masaaki Nagata

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

Unsupervised Cluster Matching via Probabilistic Latent Variable Models.

Tomoharu Iwata, Tsutomu Hirao, Naonori Ueda

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Sequential Modeling of Topic Dynamics with Multiple Timescales.

Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, Naonori Ueda

ACM Trans. Knowl. Discov. Data, 2012

A Topic Model for Recommending Movies via Linked Open Data.

Yutaka Kabutoya, Róbert Sumi, Tomoharu Iwata, Toshio Uchiyama, Tadasu Uchiyama

Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

Bidirectional Semi-supervised Learning with Graphs.

Tomoharu Iwata, Kevin Duh

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Fast mining and forecasting of complex time-stamped events.

Yasuko Matsubara, Yasushi Sakurai, Christos Faloutsos, Tomoharu Iwata, Masatoshi Yoshikawa

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Creating Stories: Social Curation of Twitter Messages.

Kevin Duh, Tsutomu Hirao, Akisato Kimura, Katsuhiko Ishiguro, Tomoharu Iwata, Ching-man Au Yeung

Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

Effect of dialog acts on word use in polylogue.

Roland Roller, Shinji Watanabe, Tomoharu Iwata

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Handling uncertain observations in unsupervised topic-mixture language model adaptation.

Ekapol Chuangsuwanich, Shinji Watanabe, Takaaki Hori, Tomoharu Iwata, James R. Glass

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Improving Classifier Performance Using Data with Different Taxonomies.

Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Yamada, Naonori Ueda

IEEE Trans. Knowl. Data Eng., 2011

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

Tomoharu Iwata, Tomoko Kojiri, Takeshi Yamada, Toyohide Watanabe

Int. J. Knowl. Based Intell. Eng. Syst., 2011

Topic tracking language model for speech recognition.

Shinji Watanabe, Tomoharu Iwata, Takaaki Hori, Atsushi Sako, Yasuo Ariki

Comput. Speech Lang., 2011

Strength of social influence in trust networks in product review sites.

Ching-man Au Yeung, Tomoharu Iwata

Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Alignment Inference and Bayesian Adaptation for Machine Translation.

Kevin Duh, Katsuhito Sudoh, Tomoharu Iwata, Hajime Tsukada

Proceedings of Machine Translation Summit XIII: Papers, 2011

Learning Influences from Word Use in Polylogue.

Tomoharu Iwata, Shinji Watanabe

Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

Fashion Coordinates Recommender System Using Photographs from Fashion Magazines.

Tomoharu Iwata, Shinji Watanabe, Hiroshi Sawada

Proceedings of the IJCAI 2011, 2011

Modelling User Behaviour and Interactions: Augmented Cognition on the Social Web.

Ching-man Au Yeung, Tomoharu Iwata

Proceedings of the Foundations of Augmented Cognition. Directing the Future of Adaptive Systems, 2011

Extracting multi-dimensional relations: a generative model of groups of entities in a corpus.

Ching-man Au Yeung, Tomoharu Iwata

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Transfer Learning for Multiple-Domain Sentiment Analysis - Identifying Domain Dependent/Independent Word Polarity.

Yasuhisa Yoshida, Tsutomu Hirao, Tomoharu Iwata, Masaaki Nagata, Yuji Matsumoto

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Knowledge network for English grammar learning support system.

Takuya Goto, Tomoko Kojiri, Toyohide Watanabe, Tomoharu Iwata, Takeshi Yamada

Int. J. Adv. Intell. Paradigms, 2010

Modeling Multiple Users' Purchase over a Single Account for Collaborative Filtering.

Yutaka Kabutoya, Tomoharu Iwata, Ko Fujimura

Proceedings of the Web Information Systems Engineering - WISE 2010, 2010

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

Shinji Watanabe, Tomoharu Iwata, Takaaki Hori, Atsushi Sako, Yasuo Ariki

Proceedings of the 2010 IEEE Spoken Language Technology Workshop, 2010

Dynamic Infinite Relational Model for Time-varying Relational Data Analysis.

Katsuhiko Ishiguro, Tomoharu Iwata, Naonori Ueda, Joshua B. Tenenbaum

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Online multiscale dynamic topic models.

Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, Naonori Ueda

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Effective Question Recommendation Based on Multiple Features for Question Answering Communities.

Yutaka Kabutoya, Tomoharu Iwata, Hisako Shiohara, Ko Fujimura

Proceedings of the Fourth International Conference on Weblogs and Social Media, 2010

Capturing implicit user influence in online social sharing.

Ching-man Au Yeung, Tomoharu Iwata

Proceedings of the HT'10, 2010

Travel route recommendation using geotags in photo sharing sites.

Takeshi Kurashima, Tomoharu Iwata, Go Irie, Ko Fujimura

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Learning Common Grammar from Multilingual Corpus.

Tomoharu Iwata, Daichi Mochihashi, Hiroshi Sawada

Proceedings of the ACL 2010, 2010

2009

Modeling Social Annotation Data with Content Relevance using a Topic Model.

Tomoharu Iwata, Takeshi Yamada, Naonori Ueda

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Topic Tracking Model for Analyzing Consumer Purchase Behavior.

Tomoharu Iwata, Shinji Watanabe, Takeshi Yamada, Naonori Ueda

Proceedings of the IJCAI 2009, 2009

2008

Recommendation Method for Improving Customer Lifetime Value.

Tomoharu Iwata, Kazumi Saito, Takeshi Yamada

IEEE Trans. Knowl. Data Eng., 2008

Recommendation Algorithm for Learning Materials That Maximizes Expected Test Scores.

Tomoharu Iwata, Tomoko Kojiri, Takeshi Yamada, Toyohide Watanabe

Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

English Grammar Learning System Based on Knowledge Network of Fill-in-the-Blank Exercises.

Takuya Goto, Tomoko Kojiri, Toyohide Watanabe, Takeshi Yamada, Tomoharu Iwata

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

Probabilistic latent semantic visualization: topic model for visualizing documents.

Tomoharu Iwata, Takeshi Yamada, Naonori Ueda

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007

Parametric Embedding for Class Visualization.

Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum

Neural Comput., 2007

Modeling user behavior in recommender systems based on maximum entropy.

Tomoharu Iwata, Kazumi Saito, Takeshi Yamada

Proceedings of the 16th International Conference on World Wide Web, 2007

Organization of Discussion Knowledge Graph from Collaborative Learning Record.

Masahide Kakehi, Tomoko Kojiri, Toyohide Watanabe, Takeshi Yamada, Tomoharu Iwata

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

2006

Recommendation method for extending subscription periods.

Tomoharu Iwata, Kazumi Saito, Takeshi Yamada

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Visual nonlinear discriminant analysis for classifier design.

Tomoharu Iwata, Kazumi Saito, Naonori Ueda

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2005

Visualization of Anomalies Using Mixture Models.

Tomoharu Iwata, Kazumi Saito

J. Intell. Manuf., 2005

2004

Visualisation of Anomaly Using Mixture Model.

Tomoharu Iwata, Kazumi Saito

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004