Yoshinobu Kawahara

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 78

Top Venues

Publications

Motoya Ohnishi, Isao Ishikawa, Kendall Lowrey, Masahiro Ikeda, Sham M. Kakade, Yoshinobu Kawahara
Koopman Spectrum Nonlinear Regulators and Efficient Online Learning. Trans. Mach. Learn. Res. 2024 (2024)
Bum Jun Kim, Yoshinobu Kawahara, Sang Woo Kim
The Disappearance of Timestep Embedding in Modern Time-Dependent Neural Networks. CoRR (2024)
Matthias Weissenbacher, Rishabh Agarwal, Yoshinobu Kawahara
SiT: Symmetry-Invariant Transformers for Generalisation in Reinforcement Learning. CoRR (2024)
Marek Wadinger, Michal Kvasnica, Yoshinobu Kawahara
Change-Point Detection in Industrial Data Streams based on Online Dynamic Mode Decomposition with Control. CoRR (2024)
Keisuke Fujii, Kazushi Tsutsui, Atom Scott, Hiroshi Nakahara, Naoya Takeishi, Yoshinobu Kawahara
Adaptive Action Supervision in Reinforcement Learning from Real-World Multi-Agent Demonstrations. ICAART (2) (2024)
Ryuichiro Hataya, Yoshinobu Kawahara
Glocal Hypergradient Estimation with Koopman Operator. CoRR (2024)
Keisuke Fujii, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda
Decentralized policy learning with partial observation and mechanical constraints for multiperson modeling. Neural Networks 171 (2024)
Isao Ishikawa, Yuka Hashimoto, Masahiro Ikeda, Yoshinobu Kawahara
Koopman operators with intrinsic observables in rigged reproducing kernel Hilbert spaces. CoRR (2024)
Dean A. Bodenham, Yoshinobu Kawahara
euMMD: efficiently computing the MMD two-sample test statistic for univariate data. Stat. Comput. 33 (5) (2023)
Naoya Takeishi, Yoshinobu Kawahara
A Characteristic Function for Shapley-Value-Based Attribution of Anomaly Scores. Trans. Mach. Learn. Res. 2023 (2023)
Takuya Konishi, Yoshinobu Kawahara
Stable invariant models via Koopman spectra. Neural Networks 165 (2023)
Kazu Ghalamkari, Mahito Sugiyama, Yoshinobu Kawahara
Many-body Approximation for Non-negative Tensors. NeurIPS (2023)
Keisuke Fujii, Kazushi Tsutsui, Atom Scott, Hiroshi Nakahara, Naoya Takeishi, Yoshinobu Kawahara
Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations. CoRR (2023)
Ryohei Fukuma, Kei Majima, Yoshinobu Kawahara, Okito Yamashita, Yoshiyuki Shiraishi, Haruhiko Kishima, Takufumi Yanagisawa
Fast, accurate, and interpretable decoding of electrocorticographic signals using dynamic mode decomposition. CoRR (2023)
Naoya Takeishi, Keisuke Fujii, Koh Takeuchi, Yoshinobu Kawahara
Discriminant Dynamic Mode Decomposition for Labeled Spatiotemporal Data Collections. SIAM J. Appl. Dyn. Syst. 21 (2) (2022)
Tomoharu Iwata, Yoshinobu Kawahara
Modeling Nonlinear Dynamics in Continuous Time with Inductive Biases on Decay Rates and/or Frequencies. CoRR (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)
Matthias Weissenbacher, Samarth Sinha, Animesh Garg, Yoshinobu Kawahara
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics. ICML (2022)
Keisuke Fujii, Koh Takeuchi, Atsushi Kuribayashi, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda
Estimating counterfactual treatment outcomes over time in multi-vehicle simulation. SIGSPATIAL/GIS (2022)
Tomoharu Iwata, Yoshinobu Kawahara
Data-driven End-to-end Learning of Pole Placement Control for Nonlinear Dynamics via Koopman Invariant Subspaces. CoRR (2022)
Keisuke Fujii, Koh Takeuchi, Atsushi Kuribayashi, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda
Estimating counterfactual treatment outcomes over time in complex multi-agent scenarios. CoRR (2022)
Takuya Konishi, Yoshinobu Kawahara
Stable Invariant Models via Koopman Spectra. CoRR (2022)
Shigeyuki Ikeda, Koki Kawano, Soichi Watanabe, Okito Yamashita, Yoshinobu Kawahara
Predicting behavior through dynamic modes in resting-state fMRI data. NeuroImage 247 (2022)
Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Fuyuta Komura, Takeshi Katsura, Yoshinobu Kawahara
Reproducing kernel Hilbert C*-module and kernel mean embeddings. 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)
Naoya Takeishi, Yoshinobu Kawahara
Learning Dynamics Models with Stable Invariant Sets. AAAI (2021)
Matthias Weissenbacher, Samarth Sinha, Animesh Garg, Yoshinobu Kawahara
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics. CoRR (2021)
Motoya Ohnishi, Isao Ishikawa, Kendall Lowrey, Masahiro Ikeda, Sham M. Kakade, Yoshinobu Kawahara
Koopman Spectrum Nonlinear Regulator and Provably Efficient Online Learning. CoRR (2021)
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
Learning interaction rules from multi-animal trajectories via augmented behavioral models. CoRR (2021)
Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Fuyuta Komura, Takeshi Katsura, Yoshinobu Kawahara
Reproducing kernel Hilbert C*-module and kernel mean embeddings. J. Mach. Learn. Res. 22 (2021)
Naoya Takeishi, Keisuke Fujii, Koh Takeuchi, Yoshinobu Kawahara
Discriminant Dynamic Mode Decomposition for Labeled Spatio-Temporal Data Collections. CoRR (2021)
Matthias Weissenbacher, Yoshinobu Kawahara
A Quadratic Actor Network for Model-Free Reinforcement Learning. CoRR (2021)
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
Learning interaction rules from multi-animal trajectories via augmented behavioral models. NeurIPS (2021)
Tomoharu Iwata, Yoshinobu Kawahara
Neural Dynamic Mode Decomposition for End-to-End Modeling of Nonlinear Dynamics. CoRR (2020)
Naoya Takeishi, Yoshinobu Kawahara
Knowledge-Based Regularization in Generative Modeling. IJCAI (2020)
Keisuke Fujii, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda
Policy learning with partial observation and mechanical constraints for multi-person modeling. CoRR (2020)
Naoya Takeishi, Yoshinobu Kawahara
On Anomaly Interpretation via Shapley Values. CoRR (2020)
Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Yoichi Matsuo, Yoshinobu Kawahara
Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise. J. Mach. Learn. Res. 21 (2020)
Naoya Takeishi, Yoshinobu Kawahara
Learning Multiple Nonlinear Dynamical Systems with Side Information. CDC (2020)
Naoya Takeishi, Yoshinobu Kawahara
Learning Dynamics Models with Stable Invariant Sets. CoRR (2020)
Israr Ul Haq, Keisuke Fujii, Yoshinobu Kawahara
Dynamic mode decomposition via dictionary learning for foreground modeling in videos. Comput. Vis. Image Underst. 199 (2020)
Tadashi Hidaka, Keiko Imamura, Takeshi Hioki, Terufumi Takagi, Yoshikazu Giga, Mi-Ho Giga, Yoshiteru Nishimura, Yoshinobu Kawahara, Satoru Hayashi, Takeshi Niki, Makoto Fushimi, Haruhisa Inoue
Prediction of Compound Bioactivities Using Heat-Diffusion Equation. Patterns 1 (9) (2020)
Israr Ul Haq, Keisuke Fujii, Yoshinobu Kawahara
Dynamic Mode Decomposition via Dictionary Learning for Foreground Modeling in Videos. VISIGRAPP (5: VISAPP) (2020)
Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Fuyuta Komura, Takeshi Katsura, Yoshinobu Kawahara
-Modules and Applications. CoRR (2020)
Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Fuyuta Komura, Yoshinobu Kawahara
Kernel Mean Embeddings of Von Neumann-Algebra-Valued Measures. CoRR (2020)
Isao Ishikawa, Akinori Tanaka, Masahiro Ikeda, Yoshinobu Kawahara
Metric on random dynamical systems with vector-valued reproducing kernel Hilbert spaces. CoRR (2019)
Naoya Uematsu, Shunji Umetani, Yoshinobu Kawahara
An efficient branch-and-cut algorithm for approximately submodular function maximization. CoRR (2019)
Shogo Hayashi, Yoshinobu Kawahara, Hisashi Kashima
Active Change-Point Detection. ACML (2019)
Takehito Bito, Masashi Hiraoka, Yoshinobu Kawahara
Learning with Coherence Patterns in Multivariate Time-series Data via Dynamic Mode Decomposition. IJCNN (2019)
Naoya Uematsu, Shunji Umetani, Yoshinobu Kawahara
An Efficient Branch-and-Cut Algorithm for Approximately Submodular Function Maximization. SMC (2019)
Keisuke Fujii, Yoshinobu Kawahara
Dynamic mode decomposition in vector-valued reproducing kernel Hilbert spaces for extracting dynamical structure among observables. Neural Networks 117 (2019)
Koh Takeuchi, Yuichi Yoshida, Yoshinobu Kawahara
Variational Inference of Penalized Regression with Submodular Functions. UAI (2019)
Keisuke Fujii, Yoshinobu Kawahara
Supervised dynamic mode decomposition via multitask learning. Pattern Recognit. Lett. 122 (2019)
Keisuke Fujii, Naoya Takeishi, Motokazu Hojo, Yuki Inaba, Yoshinobu Kawahara
Physically-interpretable classification of network dynamics for complex collective motions. CoRR (2019)
Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Yoichi Matsuo, Yoshinobu Kawahara
Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise. CoRR (2019)
Naoya Takeishi, Yoshinobu Kawahara
Regularizing Generative Models Using Knowledge of Feature Dependence. CoRR (2019)
Isao Ishikawa, Keisuke Fujii, Masahiro Ikeda, Yuka Hashimoto, Yoshinobu Kawahara
Metric on Nonlinear Dynamical Systems with Koopman Operators. CoRR (2018)
Isao Ishikawa, Keisuke Fujii, Masahiro Ikeda, Yuka Hashimoto, Yoshinobu Kawahara
Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators. NeurIPS (2018)
Naoya Uematsu, Shunji Umetani, Yoshinobu Kawahara
An efficient branch-and-bound algorithm for submodular function maximization. CoRR (2018)
Naoya Takeishi, Takehisa Yairi, Yoshinobu Kawahara
Factorially Switching Dynamic Mode Decomposition for Koopman Analysis of Time-Variant Systems. CDC (2018)
Keisuke Fujii, Yoshinobu Kawahara
Dynamic mode decomposition in vector-valued reproducing kernel Hilbert spaces for extracting dynamical structure among observables. CoRR (2018)
Keisuke Fujii, Takeshi Kawasaki, Yuki Inaba, Yoshinobu Kawahara
Prediction and classification in equation-free collective motion dynamics. PLoS Comput. Biol. 14 (11) (2018)
Naoya Takeishi, Yoshinobu Kawahara, Yasuo Tabei, Takehisa Yairi
Bayesian Dynamic Mode Decomposition. IJCAI (2017)
Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition. CoRR (2017)
Keisuke Fujii, Yuki Inaba, Yoshinobu Kawahara
Koopman Spectral Kernels for Comparing Complex Dynamics: Application to Multiagent Sport Plays. ECML/PKDD (3) (2017)
Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi
Sparse nonnegative dynamic mode decomposition. ICIP (2017)
Koh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata
Structurally Regularized Non-negative Tensor Factorization for Spatio-Temporal Pattern Discoveries. ECML/PKDD (1) (2017)
Hongxing Wang, Yoshinobu Kawahara, Chaoqun Weng, Junsong Yuan
Representative Selection with Structured Sparsity. Pattern Recognit. 63 (2017)
Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition. NIPS (2017)
Yoshinobu Kawahara
Dynamic Mode Decomposition with Reproducing Kernels for Koopman Spectral Analysis. NIPS (2016)
Bo Xin, Yoshinobu Kawahara, Yizhou Wang, Lingjing Hu, Wen Gao
Efficient Generalized Fused Lasso and Its Applications. ACM Trans. Intell. Syst. Technol. 7 (4) (2016)
Marina Demeshko, Takashi Washio, Yoshinobu Kawahara, Yuriy Pepyolyshev
A Novel Continuous and Structural VAR Modeling Approach and Its Application to Reactor Noise Analysis. ACM Trans. Intell. Syst. Technol. 7 (2) (2016)
Yoshinobu Kawahara, Rishabh K. Iyer, Jeff A. Bilmes
On Approximate Non-submodular Minimization via Tree-Structured Supermodularity. AISTATS (2015)
Shinichi Yamagiwa, Yoshinobu Kawahara, Noriyuki Tabuchi, Yoshinobu Watanabe, Takeshi Naruo
Skill grouping method: Mining and clustering skill differences from body movement BigData. IEEE BigData (2015)
Koh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata
Higher Order Fused Regularization for Supervised Learning with Grouped Parameters. ECML/PKDD (1) (2015)
Yunzhu Zheng, Haruka Suematsu, Takayuki Itoh, Ryohei Fujimaki, Satoshi Morinaga, Yoshinobu Kawahara
Scatterplot layout for high-dimensional data visualization. J. Vis. 18 (1) (2015)
Yoshinobu Kawahara, Yutaro Yamaguchi
Parametric Maxflows for Structured Sparse Learning with Convex Relaxations of Submodular Functions. CoRR (2015)
Mahito Sugiyama, Chloé-Agathe Azencott, Dominik G. Grimm, Yoshinobu Kawahara, Karsten M. Borgwardt
Multi-Task Feature Selection on Multiple Networks via Maximum Flows. SDM (2014)
Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara
Causal Discovery in a Binary Exclusive-or Skew Acyclic Model: BExSAM. CoRR (2014)
Shohei Shimizu, Aapo Hyvärinen, Yoshinobu Kawahara
A direct method for estimating a causal ordering in a linear non-Gaussian acyclic model. CoRR (2014)
Yoshinobu Kawahara, Tetsuji Kuboyama, Hiroshi Sakamoto
Workshop on Graph-Based Algorithms for Big Data and Its Applications (GABA2014). JSAI-isAI Workshops (2014)
Bo Xin, Yoshinobu Kawahara, Yizhou Wang, Wen Gao
Efficient Generalized Fused Lasso and its Application to the Diagnosis of Alzheimer's Disease. AAAI (2014)
Kiyohito Nagano, Yoshinobu Kawahara
Structured Convex Optimization under Submodular Constraints. CoRR (2013)
Chloé-Agathe Azencott, Dominik G. Grimm, Mahito Sugiyama, Yoshinobu Kawahara, Karsten M. Borgwardt
Efficient network-guided multi-locus association mapping with graph cuts. Bioinform. 29 (13) (2013)
Marina Demeshko, Takashi Washio, Yoshinobu Kawahara
A Novel Structural AR Modeling Approach for a Continuous Time Linear Markov System. ICDM Workshops (2013)
Kiyohito Nagano, Yoshinobu Kawahara
Structured Convex Optimization under Submodular Constraints. UAI (2013)
Yasuhiro Sogawa, Tsuyoshi Ueno, Yoshinobu Kawahara, Takashi Washio
Active learning for noisy oracle via density power divergence. Neural Networks 46 (2013)
Akiko Takeda, Mahesan Niranjan, Jun-ya Gotoh, Yoshinobu Kawahara
Simultaneous pursuit of out-of-sample performance and sparsity in index tracking portfolios. Comput. Manag. Sci. 10 (1) (2013)
Haruka Suematsu, Yunzhu Zheng, Takayuki Itoh, Ryohei Fujimaki, Satoshi Morinaga, Yoshinobu Kawahara
Arrangement of Low-Dimensional Parallel Coordinate Plots for High-Dimensional Data Visualization. IV (2013)
Tsuyoshi Ueno, Kohei Hayashi, Takashi Washio, Yoshinobu Kawahara
Weighted Likelihood Policy Search with Model Selection. NIPS (2012)
Yoshinobu Kawahara, Masashi Sugiyama
Sequential change-point detection based on direct density-ratio estimation. Stat. Anal. Data Min. 5 (2) (2012)
Yasuhiro Sogawa, Tsuyoshi Ueno, Yoshinobu Kawahara, Takashi Washio
Robust Active Learning for Linear Regression via Density Power Divergence. ICONIP (3) (2012)
Satoshi Hara, Yoshinobu Kawahara, Takashi Washio, Paul von Bünau, Terumasa Tokunaga, Kiyohumi Yumoto
Separation of stationary and non-stationary sources with a generalized eigenvalue problem. Neural Networks 33 (2012)
Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara
Discovering causal structures in binary exclusive-or skew acyclic models CoRR (2012)
Yoshinobu Kawahara, Shohei Shimizu, Takashi Washio
Analyzing relationships among ARMA processes based on non-Gaussianity of external influences. Neurocomputing 74 (12-13) (2011)
Yoshinobu Kawahara, Kiyohito Nagano, Yoshio Okamoto
Submodular fractional programming for balanced clustering. Pattern Recognit. Lett. 32 (2) (2011)
Shohei Shimizu, Takanori Inazumi, Yasuhiro Sogawa, Aapo Hyvärinen, Yoshinobu Kawahara, Takashi Washio, Patrik O. Hoyer, Kenneth Bollen
DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model. J. Mach. Learn. Res. 12 (2011)
Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara
Discovering causal structures in binary exclusive-or skew acyclic models. UAI (2011)
Yoshinobu Kawahara, Takashi Washio
Prismatic Algorithm for Discrete D.C. Programming Problems CoRR (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yoshinobu Kawahara