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Estimating counterfactual treatment outcomes over time in complex multi-agent scenarios



Keisuke Fujii , Koh Takeuchi , Atsushi Kuribayashi , Naoya Takeishi , Yoshinobu Kawahara , Kazuya Takeda

* 13 pages, 6 figures 

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Asteroid Flyby Cycler Trajectory Design Using Deep Neural Networks



Naoya Ozaki , Kanta Yanagida , Takuya Chikazawa , Nishanth Pushparaj , Naoya Takeishi , Ryuki Hyodo


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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

* 22 pages, 4 figures 

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Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling



Naoya Takeishi , Alexandros Kalousis


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Discriminant Dynamic Mode Decomposition for Labeled Spatio-Temporal Data Collections



Naoya Takeishi , Keisuke Fujii , Koh Takeuchi , Yoshinobu Kawahara


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Policy learning with partial observation and mechanical constraints for multi-person modeling



Keisuke Fujii , Naoya Takeishi , Yoshinobu Kawahara , Kazuya Takeda

* 17 pages with 7 figures and 4 tables 

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Learning Dynamics Models with Stable Invariant Sets



Naoya Takeishi , Yoshinobu Kawahara

* 14 pages, 5 figures 

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On Anomaly Interpretation via Shapley Values



Naoya Takeishi , Yoshinobu Kawahara

* 23 pages, 5 figures and 7 tables 

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Shapley Values of Reconstruction Errors of PCA for Explaining Anomaly Detection



Naoya Takeishi

* Workshop on Learning and Mining with Industrial Data (LMID) 2019 

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