Kawahara, Yoshinobu

34 publications

TMLR 2025 Disappearance of Timestep Embedding: A Case Study on Neural ODE and Diffusion Models Bum Jun Kim, Yoshinobu Kawahara, Sang Woo Kim

AISTATS 2025 Learning Stochastic Nonlinear Dynamics with Embedded Latent Transfer Operators Naichang Ke, Ryogo Tanaka, Yoshinobu Kawahara

NeurIPS 2025 Wavy Transformer Satoshi Noguchi, Yoshinobu Kawahara

TMLR 2024 Koopman Spectrum Nonlinear Regulators and Efficient Online Learning Motoya Ohnishi, Isao Ishikawa, Kendall Lowrey, Masahiro Ikeda, Sham M. Kakade, Yoshinobu Kawahara

TMLR 2024 Self-Supervised Color Generalization in Reinforcement Learning Matthias Weissenbacher, Evangelos Routis, Yoshinobu Kawahara

ICML 2024 SiT: Symmetry-Invariant Transformers for Generalisation in Reinforcement Learning Matthias Weissenbacher, Rishabh Agarwal, Yoshinobu Kawahara

TMLR 2023 A Characteristic Function for Shapley-Value-Based Attribution of Anomaly Scores Naoya Takeishi, Yoshinobu Kawahara

NeurIPS 2023 Many-Body Approximation for Non-Negative Tensors Kazu Ghalamkari, Mahito Sugiyama, Yoshinobu Kawahara

AAAI 2021 Learning Dynamics Models with Stable Invariant Sets Naoya Takeishi, Yoshinobu Kawahara

NeurIPS 2021 Learning Interaction Rules from Multi-Animal Trajectories via Augmented Behavioral Models Keisuke Fujii, Naoya Takeishi, Kazushi Tsutsui, Emyo Fujioka, Nozomi Nishiumi, Ryoya Tanaka, Mika Fukushiro, Kaoru Ide, Hiroyoshi Kohno, Ken Yoda, Susumu Takahashi, Shizuko Hiryu, Yoshinobu Kawahara

JMLR 2021 Reproducing Kernel Hilbert C*-Module and Kernel Mean Embeddings Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Fuyuta Komura, Takeshi Katsura, Yoshinobu Kawahara

IJCAI 2020 Knowledge-Based Regularization in Generative Modeling Naoya Takeishi, Yoshinobu Kawahara

JMLR 2020 Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Yoichi Matsuo, Yoshinobu Kawahara

ACML 2019 Active Change-Point Detection Shogo Hayashi, Yoshinobu Kawahara, Hisashi Kashima

UAI 2019 Variational Inference of Penalized Regression with Submodular Functions Koh Takeuchi, Yuichi Yoshida, Yoshinobu Kawahara

NeurIPS 2018 Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators Isao Ishikawa, Keisuke Fujii, Masahiro Ikeda, Yuka Hashimoto, Yoshinobu Kawahara

IJCAI 2017 Bayesian Dynamic Mode Decomposition Naoya Takeishi, Yoshinobu Kawahara, Yasuo Tabei, Takehisa Yairi

ECML-PKDD 2017 Koopman Spectral Kernels for Comparing Complex Dynamics: Application to Multiagent Sport Plays Keisuke Fujii, Yuki Inaba, Yoshinobu Kawahara

NeurIPS 2017 Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi

ECML-PKDD 2017 Structurally Regularized Non-Negative Tensor Factorization for Spatio-Temporal Pattern Discoveries Koh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata

NeurIPS 2016 Dynamic Mode Decomposition with Reproducing Kernels for Koopman Spectral Analysis Yoshinobu Kawahara

ECML-PKDD 2015 Higher Order Fused Regularization for Supervised Learning with Grouped Parameters Koh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata

AISTATS 2015 On Approximate Non-Submodular Minimization via Tree-Structured Supermodularity Yoshinobu Kawahara, Rishabh K. Iyer, Jeff A. Bilmes

AAAI 2014 Efficient Generalized Fused Lasso and Its Application to the Diagnosis of Alzheimer's Disease Bo Xin, Yoshinobu Kawahara, Yizhou Wang, Wen Gao

UAI 2013 Structured Convex Optimization Under Submodular Constraints Kiyohito Nagano, Yoshinobu Kawahara

NeurIPS 2012 Weighted Likelihood Policy Search with Model Selection Tsuyoshi Ueno, Kohei Hayashi, Takashi Washio, Yoshinobu Kawahara

JMLR 2011 DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model Shohei Shimizu, Takanori Inazumi, Yasuhiro Sogawa, Aapo Hyvärinen, Yoshinobu Kawahara, Takashi Washio, Patrik O. Hoyer, Kenneth Bollen

UAI 2011 Discovering Causal Structures in Binary Exclusive-or Skew Acyclic Models Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara

NeurIPS 2011 Prismatic Algorithm for Discrete D.C. Programming Problem Yoshinobu Kawahara, Takashi Washio

ICML 2011 Size-Constrained Submodular Minimization Through Minimum Norm Base Kiyohito Nagano, Yoshinobu Kawahara, Kazuyuki Aihara

NeurIPS 2010 Minimum Average Cost Clustering Kiyohito Nagano, Yoshinobu Kawahara, Satoru Iwata

UAI 2009 A Direct Method for Estimating a Causal Ordering in a Linear Non-Gaussian Acyclic Model Shohei Shimizu, Aapo Hyvärinen, Yoshinobu Kawahara

NeurIPS 2009 Submodularity Cuts and Applications Yoshinobu Kawahara, Kiyohito Nagano, Koji Tsuda, Jeff A. Bilmes

NeurIPS 2006 A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida