Ide, Tsuyoshi

10 publications

AISTATS 2024 Learning Granger Causality from Instance-Wise Self-Attentive Hawkes Processes Dongxia Wu, Tsuyoshi Ide, Georgios Kollias, Jiri Navratil, Aurelie Lozano, Naoki Abe, Yian Ma, Rose Yu

AAAI 2022 Directed Graph Auto-Encoders Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe

AAAI 2021 Anomaly Attribution with Likelihood Compensation Tsuyoshi Idé, Amit Dhurandhar, Jirí Navrátil, Moninder Singh, Naoki Abe

NeurIPS 2021 Cardinality-Regularized Hawkes-Granger Model Tsuyoshi Ide, Georgios Kollias, Dzung Phan, Naoki Abe

IJCAI 2019 Efficient Protocol for Collaborative Dictionary Learning in Decentralized Networks Tsuyoshi Idé, Rudy Raymond, Dzung T. Phan

AAAI 2019 Tensorial Change Analysis Using Probabilistic Tensor Regression Tsuyoshi Idé

IJCAI 2016 Change Detection Using Directional Statistics Tsuyoshi Idé, Dzung T. Phan, Jayant Kalagnanam

NeurIPS 2013 Solving Inverse Problem of Markov Chain with Partial Observations Tetsuro Morimura, Takayuki Osogami, Tsuyoshi Ide

AAAI 2011 Trajectory Regression on Road Networks Tsuyoshi Idé, Masashi Sugiyama

MLJ 2010 Semi-Supervised Local Fisher Discriminant Analysis for Dimensionality Reduction Masashi Sugiyama, Tsuyoshi Idé, Shinichi Nakajima, Jun Sese