研究業績

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査読付き論文

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

Estimating Counterfactual Treatment Outcomes over Time in Complex Multi-Vehicle Simulation Inproceedings Forthcoming

In: Proceedings of the 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Forthcoming.

Links | BibTeX

Naoya Takeishi, Keisuke Fujii, Koh Takeuchi, Yoshinobu Kawahara

Discriminant Dynamic Mode Decomposition for Labeled Spatiotemporal Data Collections Journal Article

In: SIAM Journal on Applied Dynamical Systems, vol. 21, no. 2, pp. 1030–1058, 2022.

Abstract | Links | BibTeX

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

Asteroid Flyby Cycler Trajectory Design Using Deep Neural Networks Journal Article

In: Journal of Guidance, Control, and Dynamics, vol. 45, no. 8, pp. 1496–1511, 2022.

Abstract | Links | BibTeX

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 Inproceedings

In: Advances in Neural Information Processing Systems 34, pp. 11108–11122, 2021.

Abstract | Links | BibTeX

Naoya Takeishi, Alexandros Kalousis

Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling Inproceedings

In: Advances in Neural Information Processing Systems 34, pp. 14809–14821, 2021.

Abstract | Links | BibTeX

Naoya Takeishi, Yoshinobu Kawahara

Learning Dynamics Models with Stable Invariant Sets Inproceedings

In: Proceedings of the 35th AAAI Conference on Artificial Intelligence, pp. 9782–9790, 2021.

Abstract | Links | BibTeX

吉川 譲二, 武石 直也, 西山 薫, 高橋 久尚, 河原 吉伸, 木下 直人

SOFCシステムにおける故障予兆検知技術の検証 Journal Article

In: 電気学会論文誌C(電子・情報・システム部門誌), vol. 141, no. 5, pp. 712–719, 2021.

Abstract | Links | BibTeX

Anand Srinivasan, Naoya Takeishi

An MCMC Method for Uncertainty Set Generation via Operator-Theoretic Metrics Inproceedings

In: Proceedings of the 2020 IEEE Conference on Decision and Control, pp. 2714–2719, 2020.

Abstract | Links | BibTeX

Naoya Takeishi, Yoshinobu Kawahara

Learning Multiple Nonlinear Dynamical Systems with Side Information Inproceedings

In: Proceedings of the 2020 IEEE Conference on Decision and Control, pp. 3206–3211, 2020.

Abstract | Links | BibTeX

Naoya Takeishi, Yoshinobu Kawahara

Knowledge-Based Regularization in Generative Modeling Inproceedings

In: Proceedings of the 29th International Joint Conference on Artificial Intelligence, pp. 2390–2396, 2020.

Abstract | Links | BibTeX

Yoshiyuki Anzai, Takehisa Yairi, Naoya Takeishi, Yuichi Tsuda, Naoko Ogawa

Visual Localization for Asteroid Touchdown Operation Based on Local Image Features Journal Article

In: Astrodynamics, vol. 4, no. 2, pp. 149–161, 2020.

Abstract | Links | BibTeX

Keisuke Fujii, Naoya Takeishi, Motokazu Hojo, Yuki Inaba, Yoshinobu Kawahara

Physically-Interpretable Classification of Biological Network Dynamics for Complex Collective Motions Journal Article

In: Scientific Reports, vol. 10, no. 1, 3005, 2020.

Abstract | Links | BibTeX

Naoya Takeishi

Kernel Learning for Data-Driven Spectral Analysis of Koopman Operators Inproceedings

In: Proceedings of the 11th Asian Conference on Machine Learning, pp. 956–971, 2019.

Abstract | Links | BibTeX

Keisuke Fujii, Naoya Takeishi, Benio Kibushi, Motoki Kouzaki, Yoshinobu Kawahara

Data-Driven Spectral Analysis for Coordinative Structures in Periodic Human Locomotion Journal Article

In: Scientific Reports, vol. 9, no. 1, 16755, 2019.

Abstract | Links | BibTeX

Naoya Takeishi

Shapley Values of Reconstruction Errors of PCA for Explaining Anomaly Detection Inproceedings

In: Proceedings of the 2019 International Conference on Data Mining Workshops, pp. 793–798, 2019.

Abstract | Links | BibTeX

Riku Sasaki, Naoya Takeishi, Takehisa Yairi, Koichi Hori

Neural Gray-Box Identification of Nonlinear Partial Differential Equations Incollection

In: no. 11671, pp. 309–321, 2019.

Abstract | Links | BibTeX

Ryo Sakagami, Naoya Takeishi, Takehisa Yairi, Koichi Hori

Visualization Methods for Spacecraft Telemetry Data Using Change-Point Detection and Clustering Journal Article

In: Transactions of the Japan Society for Aeronautical and Space Sciences, Aerospace Technology Japan, vol. 17, no. 2, pp. 244–252, 2019.

Abstract | Links | BibTeX

Naoya Takeishi, Takehisa Yairi, Yoshinobu Kawahara

Factorially Switching Dynamic Mode Decomposition for Koopman Analysis of Time-Variant Systems Inproceedings

In: Proceedings of the 2018 IEEE Conference on Decision and Control, pp. 6402–6408, 2018.

Abstract | Links | BibTeX

Rem Hida, Naoya Takeishi, Takehisa Yairi, Koichi Hori

Dynamic and Static Topic Model for Analyzing Time-Series Document Collections Inproceedings

In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, pp. 516–520, 2018.

Abstract | Links | BibTeX

Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi

Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition Inproceedings

In: Advances in Neural Information Processing Systems 30, pp. 1130–1140, 2017.

Abstract | Links | BibTeX

Naoya Takeishi, Takehisa Yairi, Department Aeronautics, The University of Tokyo 7-3-1 Hongo School of Engineering Astronautics

Visual Monocular Localization, Mapping, and Motion Estimation of a Rotating Small Celestial Body Journal Article

In: Journal of Robotics and Mechatronics, vol. 29, no. 5, pp. 856–863, 2017.

Abstract | Links | BibTeX

Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi

Subspace Dynamic Mode Decomposition for Stochastic Koopman Analysis Journal Article

In: Physical Review E, vol. 96, no. 3, 033310, 2017.

Abstract | Links | BibTeX

Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi

Sparse Nonnegative Dynamic Mode Decomposition Inproceedings

In: Proceedings of the 2017 IEEE International Conference on Image Processing, pp. 2682–2686, 2017.

Abstract | Links | BibTeX

Naoya Takeishi, Yoshinobu Kawahara, Yasuo Tabei, Takehisa Yairi

Bayesian Dynamic Mode Decomposition Inproceedings

In: Proceedings of the 26th International Joint Conference on Artificial Intelligence, pp. 2814–2821, 2017.

Abstract | Links | BibTeX

Takehisa Yairi, Naoya Takeishi, Tetsuo Oda, Yuta Nakajima, Naoki Nishimura, Noboru Takata

A Data-Driven Health Monitoring Method for Satellite Housekeeping Data Based on Probabilistic Clustering and Dimensionality Reduction Journal Article

In: IEEE Transactions on Aerospace and Electronic Systems, vol. 53, no. 3, pp. 1384–1401, 2017.

Abstract | Links | BibTeX

Naoya Takeishi, Takehisa Yairi, Naoki Nishimura, Yuta Nakajima, Noboru Takata

Dynamic Grouped Mixture Models for Intermittent Multivariate Sensor Data Incollection

In: Advances in Knowledge Discovery and Data Mining, vol. 9652, pp. 221–232, 2016.

Abstract | Links | BibTeX

Naoya Takeishi, Takehisa Yairi, Yuichi Tsuda, Fuyuto Terui, Naoko Ogawa, Yuya Mimasu

Simultaneous Estimation of Shape and Motion of an Asteroid for Automatic Navigation Inproceedings

In: Proceedings of the 2015 IEEE International Conference on Robotics and Automation, pp. 2861–2866, 2015.

Abstract | Links | BibTeX

Naoya Takeishi, Akira Tanimoto, Takehisa Yairi, Yuichi Tsuda, Fuyuto Terui, Naoko Ogawa, Yuya Mimasu

Evaluation of Interest-Region Detectors and Descriptors for Automatic Landmark Tracking on Asteroids Journal Article

In: Transactions of the Japan Society for Aeronautical and Space Sciences, vol. 58, no. 1, pp. 45–53, 2015.

Abstract | Links | BibTeX

Naoya Takeishi, Takehisa Yairi

Anomaly Detection from Multivariate Time-Series with Sparse Representation Inproceedings

In: Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, pp. 2651–2656, 2014.

Abstract | Links | BibTeX

Akira Tanimoto, Naoya Takeishi, Takehisa Yairi, Yuichi Tsuda, Fuyuto Terui, Naoko Ogawa, Yuya Mimasu

Fast Estimation of Asteroid Shape and Motion for Spacecraft Navigation Inproceedings

In: Proceedings of the 2013 IEEE International Conference on Robotics and Biomimetics, pp. 1550–1555, 2013.

Abstract | Links | BibTeX

プレプリント

Keisuke Fujii, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda

Policy Learning With Partial Observation and Mechanical Constraints for Multi-Person Modeling Unpublished

2020, arXiv:2007.03155.

Abstract | Links | BibTeX

Naoya Takeishi, Yoshinobu Kawahara

On Anomaly Interpretation via Shapley Values Unpublished

2020, arXiv:2004.04464.

Abstract | Links | BibTeX

Chun Fui Liew, Danielle DeLatte, Naoya Takeishi, Takehisa Yairi

Recent Developments in Aerial Robotics: A Survey and Prototypes Overview Unpublished

2017, arXiv:1711.10085.

Abstract | Links | BibTeX

国内会議・ワークショップ等における発表

Naoya Takeishi, Alexandros Kalousis

Variational Autoencoder with Differentiable Physics Engine for Human Gait Analysis and Synthesis Workshop

2021, Deep Generative Models and Downstream Applications Workshop, Online.

Abstract | Links | BibTeX

武石 直也

グレーボックス深層生成モデルの学習 Conference

2021, 第24回情報論的学習理論ワークショップ (IBIS), オンライン開催.

Abstract | Links | BibTeX

藤井 慶輔, 武石 直也, 筒井 和詩, 藤岡 慧明, 西海 望, 田中 良弥, 福代 三華, 井出 薫, 河野 裕美, 依田 憲, 高橋 晋, 飛龍 志津子, 河原 吉伸

生物集団の軌跡から相互作用の規則を学習するための拡張行動モデル Conference

2021, 第24回情報論的学習理論ワークショップ (IBIS), オンライン開催.

Abstract | Links | BibTeX

鈴木 崇平, 武石 直也, 岸本 政徳, 吉谷 尚久, 沖野 健太, 河原 吉伸, 廣島 雅人

機械学習による⼀般家庭の翌⽇消費電⼒予測⼿法の開発 Conference

2020, 令和2年 電気学会 電力・エネルギー部門大会, オンライン開催.

Links | BibTeX

鈴木 崇平, 武石 直也, 岸本 政徳, 吉谷 尚久, 沖野 健太, 河原 吉伸, 廣島 雅人

一般家庭における消費電力予測手法の開発 Conference

2020, 第34回人工知能学会全国大会 (JSAI), オンライン開催.

Abstract | Links | BibTeX

Naoya Takeishi

Towards Intelligent Asteroid Exploration: Visual SLAM in Space Conference

2020, invited talk at the 23rd SANKEN International Symposium, Awaji, Japan.

Links | BibTeX

武石 直也, 河原 吉伸

安定不変集合をもつ力学系の学習 Conference

2020, 第23回情報論的学習理論ワークショップ (IBIS), オンライン開催.

Abstract | Links | BibTeX

藤井 慶輔, 武石 直也, 河原 吉伸, 武田 一哉

複数人のモデリングのための部分観測と力学的制約を伴う分散型方策学習 Conference

2020, 第23回情報論的学習理論ワークショップ (IBIS), オンライン開催.

Abstract | Links | BibTeX

武石 直也

再構成誤差のシャープレイ値による異常検知の説明 Conference

2019, 第22回情報論的学習理論ワークショップ (IBIS), 名古屋.

Abstract | Links | BibTeX

藤井 慶輔, 武石 直也, 河原 吉伸

観測量間の動的構造を抽出するグラフ動的モード分解と集団スポーツデータへの応用 Conference

2019, 第22回情報論的学習理論ワークショップ (IBIS), 名古屋.

Abstract | Links | BibTeX

Keisuke Fujii, Naoya Takeishi, Yoshinobu Kawahara

Interpretable Classification of Complex Collective Motions Using Graph Dynamic Mode Decomposition Workshop

2019, Workshop on Machine Learning for Trajectory, Activity, and Behavior, Nagoya, Japan.

Links | BibTeX

武石 直也

時変動的モード分解 Conference

2019, 第33回人工知能学会全国大会 (JSAI), 新潟.

Abstract | Links | BibTeX

鈴木 透馬, 矢入 健久, 武石 直也, 津田 雄一, 尾川 順子

画像列を用いた小惑星形状・探査機相対運動の逐次推定 Conference

2019, 第33回人工知能学会全国大会 (JSAI), 新潟.

Abstract | Links | BibTeX

武石 直也

知識グラフによる生成モデル学習の正則化 Conference

2018, 第21回情報論的学習理論ワークショップ (IBIS), 札幌.

Abstract | Links | BibTeX

Naoya Takeishi, Kosuke Akimoto

Knowledge-Based Distant Regularization in Learning Probabilistic Models Workshop

2018, the 8th International Workshop on Statistical Relational AI, Stockholm, Sweden.

Abstract | Links | BibTeX

武石 直也, 秋元 康佑

潜在変数モデルとナレッジグラフ埋め込みの融合 Conference

2018, 第32回人工知能学会全国大会 (JSAI), 鹿児島.

Abstract | Links | BibTeX

土肥 宏太, 武石 直也, 矢入 健久, 堀 浩一

動的モード分解を用いた音響データの異常検知 Conference

2018, 第32回人工知能学会全国大会 (JSAI), 鹿児島.

Abstract | Links | BibTeX

武石 直也, 河原 吉伸, 矢入 健久

動的モード分解のためのKoopman不変空間学習 Conference

2017, 第20回情報論的学習理論ワークショップ (IBIS), 東京.

Abstract | Links | BibTeX

Taichi Kitamura, Naoya Takeishi andTakehisa Yairi, Koichi Hori

Abnormal Sound Detection for Rotary Parts in Noisy Environment by One-Class SVM and Non-Negative Matrix Factorization. Conference

2017, Asia Pacific Conference of the Prognostics and Health Management Society, Jeju, Korea.

Links | BibTeX

Riku Sasaki, Naoya Takeishi, Takehisa Yairi, Koichi Hori, Kazunari Ide, Hiroyoshi Kubo

A Health Monitoring Method for Wind Power Generators With Hidden Markov and Probabilistic Principal Components Analysis Models Conference

2017, Asia Pacific Conference of the Prognostics and Health Management Society, Jeju, Korea.

Links | BibTeX

武石 直也, 河原 吉伸, 矢入 健久

ベイズ的動的モード分解 Conference

2017, 第31回人工知能学会全国大会 (JSAI), 名古屋.

Abstract | Links | BibTeX

秋元 康佑, 武石 直也, 堀 浩一, 矢入 健久

Markov logic networkを事前分布に持つ潜在変数モデルの検討 Conference

2017, 第31回人工知能学会全国大会 (JSAI), 名古屋.

Abstract | Links | BibTeX

Naoya Takeishi, Takehisa Yairi

Dynamic Visual Simultaneous Localization and Mapping for Asteroid Exploration Conference

2016, the 13th International Symposium on Artificial Intelligence, Robotics and Automation in Space, Beijing, P.R.China.

Abstract | Links | BibTeX

Kosuke Akimoto, Naoya Takeishi, Takehisa Yairi, Koichi Hori andNaoki Nishimura, Noboru Takata

Tree-Based Nonparametric Prediction of Normal Sensor Measurement Range Using Temporal Information Conference

2016, the 13th International Symposium on Artificial Intelligence, Robotics and Automation in Space, Beijing, P.R.China.

Abstract | Links | BibTeX

Naoya Takeishi

Automatic Landmark Recognition for Asteroid by Image Features Conference

2013, the 29th International Symposium on Space Technology and Science, Nagoya, Japan.

Abstract | Links | BibTeX