Tomoharu Iwata

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 146

Top Venues

Publications

Tomoharu Iwata, Atsutoshi Kumagai
Meta-learning to calibrate Gaussian processes with deep kernels for regression uncertainty estimation. Neurocomputing 579 (2024)
Masahiro Nakano, Hiroki Sakuma, Ryo Nishikimi, Ryohei Shibue, Takashi Sato, Tomoharu Iwata, Kunio Kashino
Warped Diffusion for Latent Differentiation Inference. AISTATS (2024)
Yuya Yoshikawa, Tomoharu Iwata
Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers. AISTATS (2024)
Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
Zero-Shot Task Adaptation with Relevant Feature Information. AAAI (2024)
Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai, Yuki Yamanaka
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data. CoRR (2024)
Tomoharu Iwata, Yoichi Chikahara
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers. Mach. Learn. 113 (9) (2024)
Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
Meta-learning for Positive-unlabeled Classification. CoRR (2024)
Yoshiaki Takimoto, Yusuke Tanaka, Tomoharu Iwata, Maya Okawa, Hideaki Kim, Hiroyuki Toda, Takeshi Kurashima
Meta-Learning for Neural Network-based Temporal Point Processes. CoRR (2024)
Futoshi Futami, Tomoharu Iwata
Information-theoretic Analysis of Bayesian Test Data Sensitivity. AISTATS (2024)
Yusuke Tanaka, Takaharu Yaguchi, Tomoharu Iwata, Naonori Ueda
Neural Operators Meet Energy-based Theory: Operator Learning for Hamiltonian and Dissipative PDEs. CoRR (2024)
Yuya Yoshikawa, Tomoharu Iwata
Explanation-Based Training with Differentiable Insertion/Deletion Metric-Aware Regularizers. CoRR (2023)
Tomoharu Iwata, Atsutoshi Kumagai
Meta-learning to Calibrate Gaussian Processes with Deep Kernels for Regression Uncertainty Estimation. CoRR (2023)
Yuya Yoshikawa, Tomoharu Iwata
Gaussian Process Regression With Interpretable Sample-Wise Feature Weights. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Tomoharu Iwata, Atsutoshi Kumagai
Meta-learning of semi-supervised learning from tasks with heterogeneous attribute spaces. CoRR (2023)
Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada, Keiichi Yasumoto
School Families: A New Formulation of School District Planning Problem. HICSS (2023)
Futoshi Futami, Tomoharu Iwata
Information-theoretic Analysis of Test Data Sensitivity in Uncertainty. CoRR (2023)
Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Yasuhiro Fujiwara
Meta-learning for Robust Anomaly Detection. AISTATS (2023)
Tomoharu Iwata, Yusuke Tanaka, Naonori Ueda
Meta-learning of Physics-informed Neural Networks for Efficiently Solving Newly Given PDEs. CoRR (2023)
Tomoharu Iwata
Meta-learning representations for clustering with infinite Gaussian mixture models. Neurocomputing 549 (2023)
Tomoharu Iwata, Yoichi Chikahara
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers. CoRR (2023)
Takeshi Kurashima, Tomoharu Iwata, Tomu Tominaga, Shuhei Yamamoto, Hiroyuki Toda, Kazuhisa Takemura
Personal History Affects Reference Points: A Case Study of Codeforces. ICWSM (2023)
Shuhei A. Horiguchi, Tomoharu Iwata, Taku Tsuzuki, Yosuke Ozawa
Linear Embedding-based High-dimensional Batch Bayesian Optimization without Reconstruction Mappings. CoRR (2022)
Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai, Sekitoshi Kanai, Masanori Yamada, Yuki Yamanaka, Hisashi Kashima
Learning Optimal Priors for Task-Invariant Representations in Variational Autoencoders. KDD (2022)
Keisuke Kinoshita, Marc Delcroix, Tomoharu Iwata
Tight Integration Of Neural- And Clustering-Based Diarization Through Deep Unfolding Of Infinite Gaussian Mixture Model. ICASSP (2022)
Tomoharu Iwata
Active Learning for Regression with Aggregated Outputs. CoRR (2022)
Maya Okawa, Tomoharu Iwata
Predicting Opinion Dynamics via Sociologically-Informed Neural Networks. CoRR (2022)
Tomoharu Iwata, Yoshinobu Kawahara
Modeling Nonlinear Dynamics in Continuous Time with Inductive Biases on Decay Rates and/or Frequencies. CoRR (2022)
Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda, Hisashi Kashima
Context-aware spatio-temporal event prediction via convolutional Hawkes processes. Mach. Learn. 111 (8) (2022)
Israr Ul Haq, Tomoharu Iwata, Yoshinobu Kawahara
Dynamic mode decomposition via convolutional autoencoders for dynamics modeling in videos. Comput. Vis. Image Underst. 216 (2022)
Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama
Excess risk analysis for epistemic uncertainty with application to variational inference. CoRR (2022)
Tomoharu Iwata, Atsutoshi Kumagai
Sharing Knowledge for Meta-learning with Feature Descriptions. NeurIPS (2022)
Tomoharu Iwata, Hitoshi Shimizu, Naoki Marumo
Probabilistic Pedestrian Models for Estimating Unobserved Road Populations. IEEE Trans. Intell. Transp. Syst. 23 (4) (2022)
Tomoharu Iwata, Atsutoshi Kumagai
Meta-learning for Out-of-Distribution Detection via Density Estimation in Latent Space. CoRR (2022)
Atsutoshi Kumagai, Tomoharu Iwata, Yasutoshi Ida, Yasuhiro Fujiwara
Few-shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion. NeurIPS (2022)
Tomoharu Iwata, Yusuke Tanaka
Few-shot learning for spatial regression via neural embedding-based Gaussian processes. Mach. Learn. 111 (4) (2022)
Yusuke Tanaka, Tomoharu Iwata, Naonori Ueda
Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data. NeurIPS (2022)
Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda
Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains. CoRR (2022)
Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama
Predictive variational Bayesian inference as risk-seeking optimization. AISTATS (2022)
Tomoharu Iwata, Yoshinobu Kawahara
Data-driven End-to-end Learning of Pole Placement Control for Nonlinear Dynamics via Koopman Invariant Subspaces. CoRR (2022)
Yuya Yoshikawa, Tomoharu Iwata
Neural generators of sparse local linear models for achieving both accuracy and interpretability. Inf. Fusion 81 (2022)
Naohiro Tawara, Atsunori Ogawa, Tomoharu Iwata, Hiroto Ashikawa, Tetsunori Kobayashi, Tetsuji Ogawa
Multi-Source Domain Generalization Using Domain Attributes for Recurrent Neural Network Language Models. IEICE Trans. Inf. Syst. (1) (2022)
Keisuke Kinoshita, Marc Delcroix, Tomoharu Iwata
Tight integration of neural- and clustering-based diarization through deep unfolding of infinite Gaussian mixture model. CoRR (2022)
Atsutoshi Kumagai, Tomoharu Iwata, Taishi Nishiyama, Yasuhiro Fujiwara
Transfer Anomaly Detection for Maximizing the Partial AUC. IJCNN (2022)
Maya Okawa, Tomoharu Iwata
Predicting Opinion Dynamics via Sociologically-Informed Neural Networks. KDD (2022)
Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada, Keiichi Yasumoto
Evacuation Shelter Scheduling Problem. HICSS (2022)
Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato
Accelerated Diffusion-Based Sampling by the Non-Reversible Dynamics with Skew-Symmetric Matrices. Entropy 23 (8) (2021)
Tomoharu Iwata, Yuya Yoshikawa
Training Deep Models to be Explained with Fewer Examples. CoRR (2021)
Kengo Tajiri, Tomoharu Iwata, Yoichi Matsuo, Keishiro Watanabe
Fault Detection of ICT systems with Deep Learning Model for Missing Data. IM (2021)
Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
Few-shot Learning for Unsupervised Feature Selection. CoRR (2021)
Tomoharu Iwata, Yoshinobu Kawahara
Controlling Nonlinear Dynamical Systems with Linear Quadratic Regulator-based Policy Networks in Koopman space. CDC (2021)
Tomoharu Iwata, Yoshinobu Kawahara
Meta-Learning for Koopman Spectral Analysis with Short Time-series. CoRR (2021)
Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima
Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes. CoRR (2021)
Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama
Loss function based second-order Jensen inequality and its application to particle variational inference. CoRR (2021)
Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada, Keiichi Yasumoto
Evacuation Shelter Scheduling Problem. CoRR (2021)
Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
Meta-Learning for Relative Density-Ratio Estimation. NeurIPS (2021)
Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda, Toshiyuki Tanaka
Time-delayed collective flow diffusion models for inferring latent people flow from aggregated data at limited locations. Artif. Intell. 292 (2021)
Makoto Morishita, Jun Suzuki, Tomoharu Iwata, Masaaki Nagata
Context-aware Neural Machine Translation with Mini-batch Embedding. EACL (2021)
Tomoharu Iwata
Meta-learning for Matrix Factorization without Shared Rows or Columns. CoRR (2021)
Tomoharu Iwata
Meta-learning representations for clustering with infinite Gaussian mixture models. CoRR (2021)
Ryohei Shibue, Masahiro Nakano, Tomoharu Iwata, Kunio Kashino, Hitonobu Tomoike
Unsupervised Heart Sound Decomposition and State Estimation with Generative Oscillation Models. EMBC (2021)
Tomoharu Iwata
End-to-End Learning of Deep Kernel Acquisition Functions for Bayesian Optimization. CoRR (2021)
Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama
Loss function based second-order Jensen inequality and its application to particle variational inference. NeurIPS (2021)
Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima
Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes. KDD (2021)
Tomoharu Iwata, Atsutoshi Kumagai
Meta-learning One-class Classifiers with Eigenvalue Solvers for Supervised Anomaly Detection. CoRR (2021)
Tomoharu Iwata
Few-shot Learning for Topic Modeling. CoRR (2021)
Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
Meta-Learning for Relative Density-Ratio Estimation. CoRR (2021)
Masanori Yamada, Sekitoshi Kanai, Tomoharu Iwata, Tomokatsu Takahashi, Yuki Yamanaka, Hiroshi Takahashi, Atsutoshi Kumagai
Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression. CoRR (2021)
Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
Semi-supervised Anomaly Detection on Attributed Graphs. IJCNN (2021)
Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Ikko Yamane
Skew-symmetrically perturbed gradient flow for convex optimization. ACML (2021)
Heecheol Kim, Masanori Yamada, Kosuke Miyoshi, Tomoharu Iwata, Hiroshi Yamakawa
Reinforcement Learning in Latent Action Sequence Space. IROS (2020)
Tomoharu Iwata, Machiko Toyoda, Shotaro Tora, Naonori Ueda
Anomaly detection with inexact labels. Mach. Learn. 109 (8) (2020)
Naohiro Tawara, Atsunori Ogawa, Tomoharu Iwata, Marc Delcroix, Tetsuji Ogawa
Frame-Level Phoneme-Invariant Speaker Embedding for Text-Independent Speaker Recognition on Extremely Short Utterances. ICASSP (2020)
Tomoharu Iwata, Yoshinobu Kawahara
Neural Dynamic Mode Decomposition for End-to-End Modeling of Nonlinear Dynamics. CoRR (2020)
Hitoshi Shimizu, Takanori Hara, Tomoharu Iwata
Deep Reinforcement Learning for Pedestrian Guidance. PRIMA (2020)
Yosuke Higuchi, Naohiro Tawara, Atsunori Ogawa, Tomoharu Iwata, Tetsunori Kobayashi, Tetsuji Ogawa
Noise-robust Attention Learning for End-to-End Speech Recognition. EUSIPCO (2020)
Yuya Yoshikawa, Tomoharu Iwata
Gaussian Process Regression with Local Explanation. CoRR (2020)
Tomoharu Iwata, Atsutoshi Kumagai
Meta-learning from Tasks with Heterogeneous Attribute Spaces. NeurIPS (2020)
Yasunori Akagi, Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda
Probabilistic Optimal Transport based on Collective Graphical Models. CoRR (2020)
Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
Transfer Metric Learning for Unseen Domains. Data Sci. Eng. 5 (2) (2020)
Masanori Yamada, Heecheol Kim, Kosuke Miyoshi, Tomoharu Iwata, Hiroshi Yamakawa
Disentangled Representations for Sequence Data using Information Bottleneck Principle. ACML (2020)
Takashi Wada, Tomoharu Iwata, Yuji Matsumoto, Timothy Baldwin, Jey Han Lau
Learning Contextualised Cross-lingual Word Embeddings for Extremely Low-Resource Languages Using Parallel Corpora. CoRR (2020)
Tomoharu Iwata
Meta-Active Learning for Node Response Prediction in Graphs. CoRR (2020)
Tomoharu Iwata, Yusuke Tanaka
Few-shot Learning for Spatial Regression. CoRR (2020)
Tomoharu Iwata, Atsutoshi Kumagai
Few-shot Learning for Time-series Forecasting. CoRR (2020)
Yasutoshi Ida, Sekitoshi Kanai, Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima
Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance. ICML (2020)
Yuya Yoshikawa, Tomoharu Iwata
Neural Generators of Sparse Local Linear Models for Achieving both Accuracy and Interpretability. CoRR (2020)
Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
Semi-supervised Anomaly Detection on Attributed Graphs. CoRR (2020)
Tomoharu Iwata, Naoki Marumo
Co-Occurrence Estimation from Aggregated Data with Auxiliary Information. AAAI (2020)
Tomoharu Iwata, Akinori Fujino, Naonori Ueda
Semi-Supervised Learning for Maximizing the Partial AUC. AAAI (2020)
Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
Transfer Metric Learning for Unseen Domains. ICDM (2019)
Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda
Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information. KDD (2019)
Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
Transfer Anomaly Detection by Inferring Latent Domain Representations. NeurIPS (2019)
Tomoharu Iwata, Machiko Toyoda, Shotaro Tora, Naonori Ueda
Anomaly Detection with Inexact Labels. CoRR (2019)
Tomoharu Iwata, Takuma Otsuka
Efficient Transfer Bayesian Optimization with Auxiliary Information. CoRR (2019)
Takashi Wada, Tomoharu Iwata, Yuji Matsumoto
Unsupervised Multilingual Word Embedding with Limited Resources using Neural Language Models. ACL (1) (2019)
Yusuke Tanaka, Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Kurashima, Maya Okawa, Hiroyuki Toda
Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities. AAAI (2019)
Michael Hentschel, Marc Delcroix, Atsunori Ogawa, Tomoharu Iwata, Tomohiro Nakatani
Feature Based Domain Adaptation for Neural Network Language Models with Factorised Hidden Layers. IEICE Trans. Inf. Syst. (3) (2019)
Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs. NeurIPS (2019)
Tomoharu Iwata, Yuki Yamanaka
Supervised Anomaly Detection based on Deep Autoregressive Density Estimators. CoRR (2019)
Takuma Otsuka, Hitoshi Shimizu, Tomoharu Iwata, Futoshi Naya, Hiroshi Sawada, Naonori Ueda
Bayesian Optimization for Crowd Traffic Control Using Multi-Agent Simulation. ITSC (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tomoharu Iwata