Tomoharu Iwata

243 papers A* 50A 30B 10C 4Misc 8Journal 107Unranked 34

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains. Mach. Learn. Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda
2026	J	`jnl`	Deep Koopman-layered model with universal property based on toeplitz matrices. Neurocomputing Yuka Hashimoto, Tomoharu Iwata
2026	J	`jnl`	Meta-learning representations for learning from multiple annotators. Neurocomputing Atsutoshi Kumagai, Tomoharu Iwata, Taishi Nishiyama, Yasutoshi Ida, Yasuhiro Fujiwara
2025	J	`jnl`	A Representer Theorem for Hawkes Processes via Penalized Least Squares Minimization. CoRR Hideaki Kim, Tomoharu Iwata
2025	J	`jnl`	Concept Unlearning in Large Language Models via Self-Constructed Knowledge Triplets. CoRR Tomoya Yamashita, Yuuki Yamanaka, Masanori Yamada, Takayuki Miura, Toshiki Shibahara, Tomoharu Iwata
2025	J	`jnl`	Data-driven Projection Generation for Efficiently Solving Heterogeneous Quadratic Programming Problems. CoRR Tomoharu Iwata, Futoshi Futami
2025	A	`conf`	Energy-consistent Neural Operators for Hamiltonian and Dissipative Partial Differential Equations. AISTATS Yusuke Tanaka, Takaharu Yaguchi, Tomoharu Iwata, Naonori Ueda
2025	—	`conf`	Fast Proximal Gradient Methods with Node Pruning for Tree-Structured Sparse Regularization. ECML/PKDD (5) Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
2025	Misc	`conf`	Hyperbolic PHATE: Visualizing Continuous Hierarchy of Latent Differentiation Structures. ICASSP Masahiro Nakano, Hiroki Sakuma, Ryo Nishikimi, Kenji Komiya, Tomoharu Iwata, Kunio Kashino
2025	A	`conf`	Importance-weighted Positive-unlabeled Learning for Distribution Shift Adaptation. AISTATS Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Taishi Nishiyama, Yasuhiro Fujiwara
2025	J	`jnl`	K CoRR Hideaki Kim, Tomoharu Iwata, Akinori Fujino
2025	A*	`conf`	K2IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes. ICML Hideaki Kim, Tomoharu Iwata, Akinori Fujino
2025	A*	`conf`	Learning to Generate Projections for Reducing Dimensionality of Heterogeneous Linear Programming Problems. ICML Tomoharu Iwata, Shinsaku Sakaue
2025	J	`jnl`	Meta-Learning for Graphs with Heterogeneous Node Attribute Spaces for Few-Shot Edge Predictions. Trans. Mach. Learn. Res. Zhong Chuang, Yusuke Tanaka, Tomoharu Iwata
2025	J	`jnl`	Meta-learning Representations for Learning from Multiple Annotators. CoRR Atsutoshi Kumagai, Tomoharu Iwata, Taishi Nishiyama, Yasutoshi Ida, Yasuhiro Fujiwara
2025	A	`conf`	Meta-learning Task-specific Regularization Weights for Few-shot Linear Regression. AISTATS Tomoharu Iwata, Atsutoshi Kumagai, Yasutoshi Ida
2025	A	`conf`	Meta-learning from Heterogeneous Tensors for Few-shot Tensor Completion. AISTATS Tomoharu Iwata, Atsutoshi Kumagai
2025	A	`conf`	Meta-learning of Class Knowledge in Zero-shot Learning. SDM Yuta Nambu, Masahiro Kohjima, Tomoharu Iwata, Ryuji Yamamoto
2025	J	`jnl`	MetaCaDI: A Meta-Learning Framework for Scalable Causal Discovery with Unknown Interventions. CoRR Hans Jarett J. Ong, Yoichi Chikahara, Tomoharu Iwata
2025	A*	`conf`	Positive-Unlabeled Diffusion Models for Preventing Sensitive Data Generation. ICLR Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai, Yuuki Yamanaka, Tomoya Yamashita
2025	J	`jnl`	Positive-Unlabeled Diffusion Models for Preventing Sensitive Data Generation. CoRR Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai, Yuuki Yamanaka, Tomoya Yamashita
2025	A*	`conf`	Positive-unlabeled AUC Maximization under Covariate Shift. ICML Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Taishi Nishiyama, Kazuki Adachi, Yasuhiro Fujiwara
2024	A*	`conf`	AUC Maximization under Positive Distribution Shift. NeurIPS Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Taishi Nishiyama, Yasuhiro Fujiwara
2024	J	`jnl`	Deep Koopman-layered Model with Universal Property Based on Toeplitz Matrices. CoRR Yuka Hashimoto, Tomoharu Iwata
2024	J	`jnl`	Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data. CoRR Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai, Yuki Yamanaka
2024	—	`conf`	Electrocardiographic Classification using Deep Learning with Lead Switching. EMBC Tomoharu Iwata, Ryo Nishikimi, Ryohei Shibue, Masahiro Nakano, Kunio Kashino, Hitonobu Tomoike
2024	A	`conf`	Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers. AISTATS Yuya Yoshikawa, Tomoharu Iwata
2024	A*	`conf`	Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations. NeurIPS Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
2024	A	`conf`	Information-theoretic Analysis of Bayesian Test Data Sensitivity. AISTATS Futoshi Futami, Tomoharu Iwata
2024	J	`jnl`	Marked point process variational autoencoder with applications to unsorted spiking activities. PLoS Comput. Biol. Ryohei Shibue, Tomoharu Iwata
2024	J	`jnl`	Meta-Learning for Neural Network-based Temporal Point Processes. CoRR Yoshiaki Takimoto, Yusuke Tanaka, Tomoharu Iwata, Maya Okawa, Hideaki Kim, Hiroyuki Toda, Takeshi Kurashima
2024	J	`jnl`	Meta-Learning under Task Shift. Trans. Mach. Learn. Res. Lei Sun, Yusuke Tanaka, Tomoharu Iwata
2024	J	`jnl`	Meta-learning for Positive-unlabeled Classification. CoRR Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
2024	J	`jnl`	Meta-learning for heterogeneous treatment effect estimation with closed-form solvers. Mach. Learn. Tomoharu Iwata, Yoichi Chikahara
2024	J	`jnl`	Meta-learning to calibrate Gaussian processes with deep kernels for regression uncertainty estimation. Neurocomputing Tomoharu Iwata, Atsutoshi Kumagai
2024	J	`jnl`	Neural Operators Meet Energy-based Theory: Operator Learning for Hamiltonian and Dissipative PDEs. CoRR Yusuke Tanaka, Takaharu Yaguchi, Tomoharu Iwata, Naonori Ueda
2024	A*	`conf`	Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics. IJCAI Tomoharu Iwata, Yusuke Tanaka
2024	A	`conf`	Warped Diffusion for Latent Differentiation Inference. AISTATS Masahiro Nakano, Hiroki Sakuma, Ryo Nishikimi, Ryohei Shibue, Takashi Sato, Tomoharu Iwata, Kunio Kashino
2024	A*	`conf`	Zero-Shot Task Adaptation with Relevant Feature Information. AAAI Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
2023	J	`jnl`	Explanation-Based Training with Differentiable Insertion/Deletion Metric-Aware Regularizers. CoRR Yuya Yoshikawa, Tomoharu Iwata
2023	J	`jnl`	Gaussian Process Regression With Interpretable Sample-Wise Feature Weights. IEEE Trans. Neural Networks Learn. Syst. Yuya Yoshikawa, Tomoharu Iwata
2023	J	`jnl`	Information-theoretic Analysis of Test Data Sensitivity in Uncertainty. CoRR Futoshi Futami, Tomoharu Iwata
2023	A	`conf`	Meta-learning for Robust Anomaly Detection. AISTATS Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Yasuhiro Fujiwara
2023	J	`jnl`	Meta-learning for heterogeneous treatment effect estimation with closed-form solvers. CoRR Tomoharu Iwata, Yoichi Chikahara
2023	J	`jnl`	Meta-learning of Physics-informed Neural Networks for Efficiently Solving Newly Given PDEs. CoRR Tomoharu Iwata, Yusuke Tanaka, Naonori Ueda
2023	J	`jnl`	Meta-learning of semi-supervised learning from tasks with heterogeneous attribute spaces. CoRR Tomoharu Iwata, Atsutoshi Kumagai
2023	J	`jnl`	Meta-learning representations for clustering with infinite Gaussian mixture models. Neurocomputing Tomoharu Iwata
2023	J	`jnl`	Meta-learning to Calibrate Gaussian Processes with Deep Kernels for Regression Uncertainty Estimation. CoRR Tomoharu Iwata, Atsutoshi Kumagai
2023	A	`conf`	Personal History Affects Reference Points: A Case Study of Codeforces. ICWSM Takeshi Kurashima, Tomoharu Iwata, Tomu Tominaga, Shuhei Yamamoto, Hiroyuki Toda, Kazuhisa Takemura
2023	—	`conf`	School Families: A New Formulation of School District Planning Problem. HICSS Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada, Keiichi Yasumoto
2022	J	`jnl`	Active Learning for Regression with Aggregated Outputs. CoRR Tomoharu Iwata
2022	J	`jnl`	Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains. CoRR Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda
2022	J	`jnl`	Context-aware spatio-temporal event prediction via convolutional Hawkes processes. Mach. Learn. Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda, Hisashi Kashima
2022	J	`jnl`	Data-driven End-to-end Learning of Pole Placement Control for Nonlinear Dynamics via Koopman Invariant Subspaces. CoRR Tomoharu Iwata, Yoshinobu Kawahara
2022	J	`jnl`	Dynamic mode decomposition via convolutional autoencoders for dynamics modeling in videos. Comput. Vis. Image Underst. Israr Ul Haq, Tomoharu Iwata, Yoshinobu Kawahara
2022	—	`conf`	Evacuation Shelter Scheduling Problem. HICSS Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada, Keiichi Yasumoto
2022	J	`jnl`	Excess risk analysis for epistemic uncertainty with application to variational inference. CoRR Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama
2022	A*	`conf`	Few-shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion. NeurIPS Atsutoshi Kumagai, Tomoharu Iwata, Yasutoshi Ida, Yasuhiro Fujiwara
2022	J	`jnl`	Few-shot learning for spatial regression via neural embedding-based Gaussian processes. Mach. Learn. Tomoharu Iwata, Yusuke Tanaka
2022	A*	`conf`	Learning Optimal Priors for Task-Invariant Representations in Variational Autoencoders. KDD Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai, Sekitoshi Kanai, Masanori Yamada, Yuki Yamanaka, Hisashi Kashima
2022	J	`jnl`	Linear Embedding-based High-dimensional Batch Bayesian Optimization without Reconstruction Mappings. CoRR Shuhei A. Horiguchi, Tomoharu Iwata, Taku Tsuzuki, Yosuke Ozawa
2022	J	`jnl`	Meta-learning for Out-of-Distribution Detection via Density Estimation in Latent Space. CoRR Tomoharu Iwata, Atsutoshi Kumagai
2022	J	`jnl`	Modeling Nonlinear Dynamics in Continuous Time with Inductive Biases on Decay Rates and/or Frequencies. CoRR Tomoharu Iwata, Yoshinobu Kawahara
2022	J	`jnl`	Multi-Source Domain Generalization Using Domain Attributes for Recurrent Neural Network Language Models. IEICE Trans. Inf. Syst. Naohiro Tawara, Atsunori Ogawa, Tomoharu Iwata, Hiroto Ashikawa, Tetsunori Kobayashi, Tetsuji Ogawa
2022	J	`jnl`	Neural generators of sparse local linear models for achieving both accuracy and interpretability. Inf. Fusion Yuya Yoshikawa, Tomoharu Iwata
2022	A*	`conf`	Predicting Opinion Dynamics via Sociologically-Informed Neural Networks. KDD Maya Okawa, Tomoharu Iwata
2022	J	`jnl`	Predicting Opinion Dynamics via Sociologically-Informed Neural Networks. CoRR Maya Okawa, Tomoharu Iwata
2022	A	`conf`	Predictive variational Bayesian inference as risk-seeking optimization. AISTATS Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama
2022	J	`jnl`	Probabilistic Pedestrian Models for Estimating Unobserved Road Populations. IEEE Trans. Intell. Transp. Syst. Tomoharu Iwata, Hitoshi Shimizu, Naoki Marumo
2022	A*	`conf`	Sharing Knowledge for Meta-learning with Feature Descriptions. NeurIPS Tomoharu Iwata, Atsutoshi Kumagai
2022	A*	`conf`	Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data. NeurIPS Yusuke Tanaka, Tomoharu Iwata, Naonori Ueda
2022	Misc	`conf`	Tight Integration Of Neural- And Clustering-Based Diarization Through Deep Unfolding Of Infinite Gaussian Mixture Model. ICASSP Keisuke Kinoshita, Marc Delcroix, Tomoharu Iwata
2022	J	`jnl`	Tight integration of neural- and clustering-based diarization through deep unfolding of infinite Gaussian mixture model. CoRR Keisuke Kinoshita, Marc Delcroix, Tomoharu Iwata
2022	B	`conf`	Transfer Anomaly Detection for Maximizing the Partial AUC. IJCNN Atsutoshi Kumagai, Tomoharu Iwata, Taishi Nishiyama, Yasuhiro Fujiwara
2021	J	`jnl`	Accelerated Diffusion-Based Sampling by the Non-Reversible Dynamics with Skew-Symmetric Matrices. Entropy Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato
2021	J	`jnl`	Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression. CoRR Masanori Yamada, Sekitoshi Kanai, Tomoharu Iwata, Tomokatsu Takahashi, Yuki Yamanaka, Hiroshi Takahashi, Atsutoshi Kumagai
2021	A	`conf`	Context-aware Neural Machine Translation with Mini-batch Embedding. EACL Makoto Morishita, Jun Suzuki, Tomoharu Iwata, Masaaki Nagata
2021	—	`conf`	Controlling Nonlinear Dynamical Systems with Linear Quadratic Regulator-based Policy Networks in Koopman space. CDC Tomoharu Iwata, Yoshinobu Kawahara
2021	A*	`conf`	Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes. KDD Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima
2021	J	`jnl`	Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes. CoRR Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima
2021	J	`jnl`	End-to-End Learning of Deep Kernel Acquisition Functions for Bayesian Optimization. CoRR Tomoharu Iwata
2021	J	`jnl`	Evacuation Shelter Scheduling Problem. CoRR Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada, Keiichi Yasumoto
2021	B	`conf`	Fault Detection of ICT systems with Deep Learning Model for Missing Data. IM Kengo Tajiri, Tomoharu Iwata, Yoichi Matsuo, Keishiro Watanabe
2021	J	`jnl`	Few-shot Learning for Topic Modeling. CoRR Tomoharu Iwata
2021	J	`jnl`	Few-shot Learning for Unsupervised Feature Selection. CoRR Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
2021	A*	`conf`	Loss function based second-order Jensen inequality and its application to particle variational inference. NeurIPS Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama
2021	J	`jnl`	Loss function based second-order Jensen inequality and its application to particle variational inference. CoRR Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama
2021	J	`jnl`	Meta-Learning for Koopman Spectral Analysis with Short Time-series. CoRR Tomoharu Iwata, Yoshinobu Kawahara
2021	A*	`conf`	Meta-Learning for Relative Density-Ratio Estimation. NeurIPS Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
2021	J	`jnl`	Meta-Learning for Relative Density-Ratio Estimation. CoRR Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
2021	J	`jnl`	Meta-learning One-class Classifiers with Eigenvalue Solvers for Supervised Anomaly Detection. CoRR Tomoharu Iwata, Atsutoshi Kumagai
2021	J	`jnl`	Meta-learning for Matrix Factorization without Shared Rows or Columns. CoRR Tomoharu Iwata
2021	J	`jnl`	Meta-learning representations for clustering with infinite Gaussian mixture models. CoRR Tomoharu Iwata
2021	B	`conf`	Semi-supervised Anomaly Detection on Attributed Graphs. IJCNN Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
2021	C	`conf`	Skew-symmetrically perturbed gradient flow for convex optimization. ACML Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Ikko Yamane
2021	J	`jnl`	Time-delayed collective flow diffusion models for inferring latent people flow from aggregated data at limited locations. Artif. Intell. Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda, Toshiyuki Tanaka
2021	J	`jnl`	Training Deep Models to be Explained with Fewer Examples. CoRR Tomoharu Iwata, Yuya Yoshikawa
2021	—	`conf`	Unsupervised Heart Sound Decomposition and State Estimation with Generative Oscillation Models. EMBC Ryohei Shibue, Masahiro Nakano, Tomoharu Iwata, Kunio Kashino, Hitonobu Tomoike
2020	J	`jnl`	Anomaly detection with inexact labels. Mach. Learn. Tomoharu Iwata, Machiko Toyoda, Shotaro Tora, Naonori Ueda
2020	A*	`conf`	Co-Occurrence Estimation from Aggregated Data with Auxiliary Information. AAAI Tomoharu Iwata, Naoki Marumo
2020	B	`conf`	Deep Reinforcement Learning for Pedestrian Guidance. PRIMA Hitoshi Shimizu, Takanori Hara, Tomoharu Iwata
2020	C	`conf`	Disentangled Representations for Sequence Data using Information Bottleneck Principle. ACML Masanori Yamada, Heecheol Kim, Kosuke Miyoshi, Tomoharu Iwata, Hiroshi Yamakawa
2020	A*	`conf`	Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance. ICML Yasutoshi Ida, Sekitoshi Kanai, Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima
2020	J	`jnl`	Few-shot Learning for Spatial Regression. CoRR Tomoharu Iwata, Yusuke Tanaka
2020	J	`jnl`	Few-shot Learning for Time-series Forecasting. CoRR Tomoharu Iwata, Atsutoshi Kumagai
2020	Misc	`conf`	Frame-Level Phoneme-Invariant Speaker Embedding for Text-Independent Speaker Recognition on Extremely Short Utterances. ICASSP Naohiro Tawara, Atsunori Ogawa, Tomoharu Iwata, Marc Delcroix, Tetsuji Ogawa
2020	J	`jnl`	Gaussian Process Regression with Local Explanation. CoRR Yuya Yoshikawa, Tomoharu Iwata
2020	J	`jnl`	Learning Contextualised Cross-lingual Word Embeddings for Extremely Low-Resource Languages Using Parallel Corpora. CoRR Takashi Wada, Tomoharu Iwata, Yuji Matsumoto, Timothy Baldwin, Jey Han Lau
2020	J	`jnl`	Meta-Active Learning for Node Response Prediction in Graphs. CoRR Tomoharu Iwata
2020	A*	`conf`	Meta-learning from Tasks with Heterogeneous Attribute Spaces. NeurIPS Tomoharu Iwata, Atsutoshi Kumagai
2020	J	`jnl`	Neural Dynamic Mode Decomposition for End-to-End Modeling of Nonlinear Dynamics. CoRR Tomoharu Iwata, Yoshinobu Kawahara
2020	J	`jnl`	Neural Generators of Sparse Local Linear Models for Achieving both Accuracy and Interpretability. CoRR Yuya Yoshikawa, Tomoharu Iwata
2020	—	`conf`	Noise-robust Attention Learning for End-to-End Speech Recognition. EUSIPCO Yosuke Higuchi, Naohiro Tawara, Atsunori Ogawa, Tomoharu Iwata, Tetsunori Kobayashi, Tetsuji Ogawa
2020	J	`jnl`	Probabilistic Optimal Transport based on Collective Graphical Models. CoRR Yasunori Akagi, Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda
2020	A	`conf`	Reinforcement Learning in Latent Action Sequence Space. IROS Heecheol Kim, Masanori Yamada, Kosuke Miyoshi, Tomoharu Iwata, Hiroshi Yamakawa
2020	A*	`conf`	Semi-Supervised Learning for Maximizing the Partial AUC. AAAI Tomoharu Iwata, Akinori Fujino, Naonori Ueda
2020	J	`jnl`	Semi-supervised Anomaly Detection on Attributed Graphs. CoRR Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
2020	J	`jnl`	Transfer Metric Learning for Unseen Domains. Data Sci. Eng. Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
2019	Misc	`conf`	A Unified Framework for Feature-based Domain Adaptation of Neural Network Language Models. ICASSP Michael Hentschel, Marc Delcroix, Atsunori Ogawa, Tomoharu Iwata, Tomohiro Nakatani
2019	J	`jnl`	Anomaly Detection with Inexact Labels. CoRR Tomoharu Iwata, Machiko Toyoda, Shotaro Tora, Naonori Ueda
2019	—	`conf`	Autoencoding Binary Classifiers for Supervised Anomaly Detection. PRICAI (2) Yuki Yamanaka, Tomoharu Iwata, Hiroshi Takahashi, Masanori Yamada, Sekitoshi Kanai
2019	J	`jnl`	Autoencoding Binary Classifiers for Supervised Anomaly Detection. CoRR Yuki Yamanaka, Tomoharu Iwata, Hiroshi Takahashi, Masanori Yamada, Sekitoshi Kanai
2019	—	`conf`	Bayesian Optimization for Crowd Traffic Control Using Multi-Agent Simulation. ITSC Takuma Otsuka, Hitoshi Shimizu, Tomoharu Iwata, Futoshi Naya, Hiroshi Sawada, Naonori Ueda
2019	A*	`conf`	Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information. KDD Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda
2019	J	`jnl`	Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information. CoRR Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda
2019	J	`jnl`	Efficient Transfer Bayesian Optimization with Auxiliary Information. CoRR Tomoharu Iwata, Takuma Otsuka
2019	J	`jnl`	Feature Based Domain Adaptation for Neural Network Language Models with Factorised Hidden Layers. IEICE Trans. Inf. Syst. Michael Hentschel, Marc Delcroix, Atsunori Ogawa, Tomoharu Iwata, Tomohiro Nakatani
2019	A*	`conf`	Neural Collective Graphical Models for Estimating Spatio-Temporal Population Flow from Aggregated Data. AAAI Tomoharu Iwata, Hitoshi Shimizu
2019	A*	`conf`	Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities. AAAI Yusuke Tanaka, Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Kurashima, Maya Okawa, Hiroyuki Toda
2019	Misc	`conf`	Semi-supervised End-to-end Speech Recognition Using Text-to-speech and Autoencoders. ICASSP Shigeki Karita, Shinji Watanabe, Tomoharu Iwata, Marc Delcroix, Atsunori Ogawa, Tomohiro Nakatani
2019	A*	`conf`	Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs. NeurIPS Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda
2019	J	`jnl`	Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs. CoRR Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda
2019	J	`jnl`	Supervised Anomaly Detection based on Deep Autoregressive Density Estimators. CoRR Tomoharu Iwata, Yuki Yamanaka
2019	A*	`conf`	Transfer Anomaly Detection by Inferring Latent Domain Representations. NeurIPS Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
2019	A*	`conf`	Transfer Metric Learning for Unseen Domains. ICDM Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
2019	A*	`conf`	Unsupervised Domain Adaptation by Matching Distributions Based on the Maximum Mean Discrepancy via Unilateral Transformations. AAAI Atsutoshi Kumagai, Tomoharu Iwata
2019	—	`conf`	Unsupervised Multilingual Word Embedding with Limited Resources using Neural Language Models. ACL (1) Takashi Wada, Tomoharu Iwata, Yuji Matsumoto
2019	A*	`conf`	Variational Autoencoder with Implicit Optimal Priors. AAAI Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi
2018	A*	`conf`	Estimating Latent People Flow without Tracking Individuals. IJCAI Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda
2018	—	`conf`	Factorised Hidden Layer Based Domain Adaptation for Recurrent Neural Network Language Models. APSIPA Michael Hentschel, Marc Delcroix, Atsunori Ogawa, Tomoharu Iwata, Tomohiro Nakatani
2018	A	`conf`	Few-shot learning of neural networks from scratch by pseudo example optimization. BMVC Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda
2018	J	`jnl`	Finding Appropriate Traffic Regulations via Graph Convolutional Networks. CoRR Tomoharu Iwata, Takuma Otsuka, Hitoshi Shimizu, Hiroshi Sawada, Futoshi Naya, Naonori Ueda
2018	J	`jnl`	Imitation networks: Few-shot learning of neural networks from scratch. CoRR Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda
2018	B	`conf`	Improving Route Traffic Estimation by Considering Staying Population. PRIMA Hitoshi Shimizu, Tatsushi Matsubayashi, Yusuke Tanaka, Tomoharu Iwata, Naonori Ueda, Hiroshi Sawada
2018	Misc	`conf`	Language Model Domain Adaptation Via Recurrent Neural Networks with Domain-Shared and Domain-Specific Representations. ICASSP Tsuyoshi Morioka, Naohiro Tawara, Tetsuji Ogawa, Atsunori Ogawa, Tomoharu Iwata, Tetsunori Kobayashi
2018	A*	`conf`	Learning Dynamics of Decision Boundaries without Additional Labeled Data. KDD Atsutoshi Kumagai, Tomoharu Iwata
2018	—	`conf`	On Reducing Dimensionality of Labeled Data Efficiently. PAKDD (3) Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima
2018	J	`jnl`	Refining Coarse-grained Spatial Data using Auxiliary Spatial Data Sets with Various Granularities. CoRR Yusuke Tanaka, Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Kurashima, Maya Okawa, Hiroyuki Toda
2018	A	`conf`	Semi-Supervised End-to-End Speech Recognition. INTERSPEECH Shigeki Karita, Shinji Watanabe, Tomoharu Iwata, Atsunori Ogawa, Marc Delcroix
2018	A*	`conf`	Student-t Variational Autoencoder for Robust Density Estimation. IJCAI Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi
2018	J	`jnl`	Topic Models for Unsupervised Cluster Matching. IEEE Trans. Knowl. Data Eng. Tomoharu Iwata, Tsutomu Hirao, Naonori Ueda
2018	J	`jnl`	Unsupervised Cross-lingual Word Embedding by Multilingual Neural Language Models. CoRR Takashi Wada, Tomoharu Iwata
2018	J	`jnl`	Unsupervised Object Matching for Relational Data. CoRR Tomoharu Iwata, Naonori Ueda
2018	J	`jnl`	Variational Autoencoder with Implicit Optimal Priors. CoRR Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi
2018	J	`jnl`	Zero-shot Domain Adaptation without Domain Semantic Descriptors. CoRR Atsutoshi Kumagai, Tomoharu Iwata
2017	J	`jnl`	Estimating People Flow from Spatiotemporal Population Data via Collective Graphical Mixture Models. ACM Trans. Spatial Algorithms Syst. Tomoharu Iwata, Hitoshi Shimizu, Futoshi Naya, Naonori Ueda
2017	—	`conf`	Exploiting end of sentences and speaker alternations in language modeling for multiparty conversations. APSIPA Hiroto Ashikawa, Naohiro Tawara, Atsunori Ogawa, Tomoharu Iwata, Tetsunori Kobayashi, Tetsuji Ogawa
2017	B	`conf`	Latent Dimensionality Estimation for Probabilistic Canonical Correlation Analysis Using Normalized Maximum Likelihood Code-Length. DSAA Tomohiko Nakmaura, Tomoharu Iwata, Kenji Yamanishi
2017	A*	`conf`	Learning Latest Classifiers without Additional Labeled Data. IJCAI Atsutoshi Kumagai, Tomoharu Iwata
2017	A*	`conf`	Learning Non-Linear Dynamics of Decision Boundaries for Maintaining Classification Performance. AAAI Atsutoshi Kumagai, Tomoharu Iwata
2017	A	`conf`	Localized Lasso for High-Dimensional Regression. AISTATS Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski
2017	A*	`conf`	Read the Silence: Well-Timed Recommendation via Admixture Marked Point Processes. AAAI Hideaki Kim, Tomoharu Iwata, Yasuhiro Fujiwara, Naonori Ueda
2017	—	`conf`	Robust Multi-view Topic Modeling by Incorporating Detecting Anomalies. ECML/PKDD (2) Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima
2017	J	`jnl`	Robust unsupervised cluster matching for network data. Data Min. Knowl. Discov. Tomoharu Iwata, Katsuhiko Ishiguro
2017	A*	`conf`	SVD-Based Screening for the Graphical Lasso. IJCAI Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda
2017	—	`conf`	Scaling Locally Linear Embedding. SIGMOD Conference Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda
2017	—	`conf`	Structurally Regularized Non-negative Tensor Factorization for Spatio-Temporal Pattern Discoveries. ECML/PKDD (1) Koh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata
2017	J	`jnl`	Unsupervised group matching with application to cross-lingual topic matching without alignment information. Data Min. Knowl. Discov. Tomoharu Iwata, Motonobu Kanagawa, Tsutomu Hirao, Kenji Fukumizu
2016	A*	`conf`	Identifying Key Observers to Find Popular Information in Advance. IJCAI Takuya Konishi, Tomoharu Iwata, Kohei Hayashi, Ken-ichi Kawarabayashi
2016	A	`conf`	Inferring Latent Triggers of Purchases with Consideration of Social Effects and Media Advertisements. WSDM Yusuke Tanaka, Takeshi Kurashima, Yasuhiro Fujiwara, Tomoharu Iwata, Hiroshi Sawada
2016	A*	`conf`	Learning Future Classifiers without Additional Data. AAAI Atsutoshi Kumagai, Tomoharu Iwata
2016	—	`conf`	Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models. NIPS Tomoharu Iwata, Makoto Yamada
2016	J	`jnl`	Probabilistic latent variable models for unsupervised many-to-many object matching. Inf. Process. Manag. Tomoharu Iwata, Tsutomu Hirao, Naonori Ueda
2016	J	`jnl`	Sparse Network Lasso for Local High-dimensional Regression. CoRR Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski
2016	J	`jnl`	Unsupervised Many-to-Many Object Matching for Relational Data. IEEE Trans. Pattern Anal. Mach. Intell. Tomoharu Iwata, James Robert Lloyd, Zoubin Ghahramani
2015	—	`conf`	Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions. NIPS Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada, Takeshi Yamada
2015	A	`conf`	Cross-domain recommendation without shared users or items by sharing latent vector distributions. AISTATS Tomoharu Iwata, Koh Takeuchi
2015	—	`conf`	Higher Order Fused Regularization for Supervised Learning with Grouped Parameters. ECML/PKDD (1) Koh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata
2015	A	`conf`	Multiscale recurrent neural network based language model. INTERSPEECH Tsuyoshi Morioka, Tomoharu Iwata, Takaaki Hori, Tetsunori Kobayashi
2015	A*	`conf`	Non-Linear Regression for Bag-of-Words Data via Gaussian Process Latent Variable Set Model. AAAI Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada
2015	—	`conf`	Real-time and proactive navigation via spatio-temporal prediction. UbiComp/ISWC Adjunct Naonori Ueda, Futoshi Naya, Hitoshi Shimizu, Tomoharu Iwata, Maya Okawa, Hiroshi Sawada
2014	J	`jnl`	Collaboration on Social Media: Analyzing Successful Projects on Social Coding. CoRR Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada
2014	J	`jnl`	Creating Stories from Socially Curated Microblog Messages. IEICE Trans. Inf. Syst. Akisato Kimura, Kevin Duh, Tsutomu Hirao, Katsuhiko Ishiguro, Tomoharu Iwata, Albert Au Yeung
2014	A	`conf`	Generating structure of latent variable models for nested data. UAI Masakazu Ishihata, Tomoharu Iwata
2014	—	`conf`	Latent Support Measure Machines for Bag-of-Words Data Classification. NIPS Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada
2014	J	`jnl`	Multi-view Anomaly Detection via Probabilistic Latent Variable Models. CoRR Tomoharu Iwata, Makoto Yamada
2014	A*	`conf`	Probabilistic latent network visualization: inferring and embedding diffusion networks. KDD Takeshi Kurashima, Tomoharu Iwata, Noriko Takaya, Hiroshi Sawada
2014	J	`jnl`	Warped Mixtures for Nonparametric Cluster Shapes. CoRR Tomoharu Iwata, David Duvenaud, Zoubin Ghahramani
2013	A*	`conf`	A Probabilistic Behavior Model for Discovering Unrecognized Knowledge. ICDM Takeshi Kurashima, Tomoharu Iwata, Noriko Takaya, Hiroshi Sawada
2013	C	`conf`	A Probabilistic Model for Diversifying Recommendation Lists. APWeb Yutaka Kabutoya, Tomoharu Iwata, Hiroyuki Toda, Hiroyuki Kitagawa
2013	A	`conf`	Active Learning for Interactive Visualization. AISTATS Tomoharu Iwata, Neil Houlsby, Zoubin Ghahramani
2013	A	`conf`	Clustering-based anomaly detection in multi-view data. CIKM Alejandro Marcos Alvarez, Makoto Yamada, Akisato Kimura, Tomoharu Iwata
2013	A*	`conf`	Discovering latent influence in online social activities via shared cascade poisson processes. KDD Tomoharu Iwata, Amar Shah, Zoubin Ghahramani
2013	A	`conf`	Geo topic model: joint modeling of user's activity area and interests for location recommendation. WSDM Takeshi Kurashima, Tomoharu Iwata, Takahide Hoshide, Noriko Takaya, Ko Fujimura
2013	J	`jnl`	Influence relation estimation based on lexical entrainment in conversation. Speech Commun. Tomoharu Iwata, Shinji Watanabe
2013	—	`conf`	Latent Semantic Matching: Application to Cross-language Text Categorization without Alignment Information. ACL (2) Tsutomu Hirao, Tomoharu Iwata, Masaaki Nagata
2013	J	`jnl`	Managing information disparity in multilingual document collections. ACM Trans. Speech Lang. Process. Kevin Duh, Ching-man Au Yeung, Tomoharu Iwata, Masaaki Nagata
2013	J	`jnl`	Modeling Noisy Annotated Data with Application to Social Annotation. IEEE Trans. Knowl. Data Eng. Tomoharu Iwata, Takeshi Yamada, Naonori Ueda
2013	J	`jnl`	Topic model for analyzing purchase data with price information. Data Min. Knowl. Discov. Tomoharu Iwata, Hiroshi Sawada
2013	J	`jnl`	Travel route recommendation using geotagged photos. Knowl. Inf. Syst. Takeshi Kurashima, Tomoharu Iwata, Go Irie, Ko Fujimura
2013	A*	`conf`	Unsupervised Cluster Matching via Probabilistic Latent Variable Models. AAAI Tomoharu Iwata, Tsutomu Hirao, Naonori Ueda
2013	A	`conf`	Warped Mixtures for Nonparametric Cluster Shapes. UAI Tomoharu Iwata, David Duvenaud, Zoubin Ghahramani
2012	—	`conf`	A Topic Model for Recommending Movies via Linked Open Data. Web Intelligence Yutaka Kabutoya, Róbert Sumi, Tomoharu Iwata, Toshio Uchiyama, Tadasu Uchiyama
2012	—	`conf`	Bidirectional Semi-supervised Learning with Graphs. ECML/PKDD (2) Tomoharu Iwata, Kevin Duh
2012	A	`conf`	Creating Stories: Social Curation of Twitter Messages. ICWSM Kevin Duh, Tsutomu Hirao, Akisato Kimura, Katsuhiko Ishiguro, Tomoharu Iwata, Ching-man Au Yeung
2012	Misc	`conf`	Effect of dialog acts on word use in polylogue. ICASSP Roland Roller, Shinji Watanabe, Tomoharu Iwata
2012	A*	`conf`	Fast mining and forecasting of complex time-stamped events. KDD Yasuko Matsubara, Yasushi Sakurai, Christos Faloutsos, Tomoharu Iwata, Masatoshi Yoshikawa
2012	Misc	`conf`	Handling uncertain observations in unsupervised topic-mixture language model adaptation. ICASSP Ekapol Chuangsuwanich, Shinji Watanabe, Takaaki Hori, Tomoharu Iwata, James R. Glass
2012	J	`jnl`	Sequential Modeling of Topic Dynamics with Multiple Timescales. ACM Trans. Knowl. Discov. Data Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, Naonori Ueda
2011	—	`conf`	Alignment Inference and Bayesian Adaptation for Machine Translation. MTSummit Kevin Duh, Katsuhito Sudoh, Tomoharu Iwata, Hajime Tsukada
2011	A	`conf`	Extracting multi-dimensional relations: a generative model of groups of entities in a corpus. CIKM Ching-man Au Yeung, Tomoharu Iwata
2011	A*	`conf`	Fashion Coordinates Recommender System Using Photographs from Fashion Magazines. IJCAI Tomoharu Iwata, Shinji Watanabe, Hiroshi Sawada
2011	J	`jnl`	Improving Classifier Performance Using Data with Different Taxonomies. IEEE Trans. Knowl. Data Eng. Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Yamada, Naonori Ueda
2011	A	`conf`	Learning Influences from Word Use in Polylogue. INTERSPEECH Tomoharu Iwata, Shinji Watanabe
2011	—	`conf`	Modelling User Behaviour and Interactions: Augmented Cognition on the Social Web. HCI (20) Ching-man Au Yeung, Tomoharu Iwata
2011	J	`jnl`	Recommendation for English multiple-choice cloze questions based on expected test scores. Int. J. Knowl. Based Intell. Eng. Syst. Tomoharu Iwata, Tomoko Kojiri, Takeshi Yamada, Toyohide Watanabe
2011	A	`conf`	Strength of social influence in trust networks in product review sites. WSDM Ching-man Au Yeung, Tomoharu Iwata
2011	J	`jnl`	Topic tracking language model for speech recognition. Comput. Speech Lang. Shinji Watanabe, Tomoharu Iwata, Takaaki Hori, Atsushi Sako, Yasuo Ariki
2011	A*	`conf`	Transfer Learning for Multiple-Domain Sentiment Analysis - Identifying Domain Dependent/Independent Word Polarity. AAAI Yasuhisa Yoshida, Tsutomu Hirao, Tomoharu Iwata, Masaaki Nagata, Yuji Matsumoto
2010	—	`conf`	Application of topic tracking model to language model adaptation and meeting analysis. SLT Shinji Watanabe, Tomoharu Iwata, Takaaki Hori, Atsushi Sako, Yasuo Ariki
2010	—	`conf`	Capturing implicit user influence in online social sharing. HT Ching-man Au Yeung, Tomoharu Iwata
2010	—	`conf`	Dynamic Infinite Relational Model for Time-varying Relational Data Analysis. NIPS Katsuhiko Ishiguro, Tomoharu Iwata, Naonori Ueda, Joshua B. Tenenbaum
2010	A	`conf`	Effective Question Recommendation Based on Multiple Features for Question Answering Communities. ICWSM Yutaka Kabutoya, Tomoharu Iwata, Hisako Shiohara, Ko Fujimura
2010	J	`jnl`	Knowledge network for English grammar learning support system. Int. J. Adv. Intell. Paradigms Takuya Goto, Tomoko Kojiri, Toyohide Watanabe, Tomoharu Iwata, Takeshi Yamada
2010	—	`conf`	Learning Common Grammar from Multilingual Corpus. ACL (2) Tomoharu Iwata, Daichi Mochihashi, Hiroshi Sawada
2010	B	`conf`	Modeling Multiple Users' Purchase over a Single Account for Collaborative Filtering. WISE Yutaka Kabutoya, Tomoharu Iwata, Ko Fujimura
2010	A*	`conf`	Online multiscale dynamic topic models. KDD Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, Naonori Ueda
2010	C	`conf`	Statistical Learning-based Approach for Automatic Generation System of Multiple-choice Cloze Questions. ICCE Tomoko Kojiri, Takuya Goto, Toyohide Watanabe, Tomoharu Iwata, Takeshi Yamada
2010	A	`conf`	Travel route recommendation using geotags in photo sharing sites. CIKM Takeshi Kurashima, Tomoharu Iwata, Go Irie, Ko Fujimura
2009	—	`conf`	Modeling Social Annotation Data with Content Relevance using a Topic Model. NIPS Tomoharu Iwata, Takeshi Yamada, Naonori Ueda
2009	A*	`conf`	Topic Tracking Model for Analyzing Consumer Purchase Behavior. IJCAI Tomoharu Iwata, Shinji Watanabe, Takeshi Yamada, Naonori Ueda
2008	—	`conf`	English Grammar Learning System Based on Knowledge Network of Fill-in-the-Blank Exercises. KES (3) Takuya Goto, Tomoko Kojiri, Toyohide Watanabe, Takeshi Yamada, Tomoharu Iwata
2008	A*	`conf`	Probabilistic latent semantic visualization: topic model for visualizing documents. KDD Tomoharu Iwata, Takeshi Yamada, Naonori Ueda
2008	B	`conf`	Recommendation Algorithm for Learning Materials That Maximizes Expected Test Scores. PRICAI Tomoharu Iwata, Tomoko Kojiri, Takeshi Yamada, Toyohide Watanabe
2008	J	`jnl`	Recommendation Method for Improving Customer Lifetime Value. IEEE Trans. Knowl. Data Eng. Tomoharu Iwata, Kazumi Saito, Takeshi Yamada
2007	A*	`conf`	Modeling user behavior in recommender systems based on maximum entropy. WWW Tomoharu Iwata, Kazumi Saito, Takeshi Yamada
2007	—	`conf`	Organization of Discussion Knowledge Graph from Collaborative Learning Record. KES (3) Masahide Kakehi, Tomoko Kojiri, Toyohide Watanabe, Takeshi Yamada, Tomoharu Iwata
2007	J	`jnl`	Parametric Embedding for Class Visualization. Neural Comput. Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum
2006	A*	`conf`	Recommendation method for extending subscription periods. KDD Tomoharu Iwata, Kazumi Saito, Takeshi Yamada
2006	B	`conf`	Visual nonlinear discriminant analysis for classifier design. ESANN Tomoharu Iwata, Kazumi Saito, Naonori Ueda
2005	J	`jnl`	Visualization of Anomalies Using Mixture Models. J. Intell. Manuf. Tomoharu Iwata, Kazumi Saito
2004	—	`conf`	Parametric Embedding for Class Visualization. NIPS Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum
2004	B	`conf`	Visualisation of Anomaly Using Mixture Model. KES Tomoharu Iwata, Kazumi Saito