Naoya Takeishi

发表

Data-driven spectral analysis for coordinative structures in periodic human locomotion

Keisuke Fujii, Naoya Takeishi, Benio Kibushi, 2019, Scientific Reports.

Neural Gray-Box Identification of Nonlinear Partial Differential Equations

Naoya Takeishi, Takehisa Yairi, Koichi Hori, 2019, PRICAI.

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

Naoya Takeishi, Takehisa Yairi, Koichi Hori, 2018, ACL.

Visual localization for asteroid touchdown operation based on local image features

Naoya Takeishi, Yuichi Tsuda, Takehisa Yairi, 2020 .

Regularizing Generative Models Using Knowledge of Feature Dependence pdf

Naoya Takeishi, Yoshinobu Kawahara, 2019, ArXiv.

Incorporating Knowledge Graph Embeddings into Latent Variable Models

Naoya Takeishi, 2018 .

Shapley Values of Reconstruction Errors of PCA for Explaining Anomaly Detection

Naoya Takeishi, 2019, 2019 International Conference on Data Mining Workshops (ICDMW).

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

Naoya Takeishi, Takehisa Yairi, Danielle DeLatte, 2017, ArXiv.

Bayesian Dynamic Mode Decomposition

Yasuo Tabei, Naoya Takeishi, Yoshinobu Kawahara, 2017, IJCAI.

Physically-interpretable classification of biological network dynamics for complex collective motions

Keisuke Fujii, Naoya Takeishi, Yuki Inaba, 2020, Scientific Reports.

Evaluation of Interest-region Detectors and Descriptors for Automatic Landmark Tracking on Asteroids

Naoya Takeishi, Naoko Ogawa, Takehisa Yairi, 2015 .

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

Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi, 2018, 2018 IEEE Conference on Decision and Control (CDC).

Kernel Learning for Data-Driven Spectral Analysis of Koopman Operators

Naoya Takeishi, Naoya Takeishi, 2019, ACML.

Sparse nonnegative dynamic mode decomposition

Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

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

Naoya Takeishi, Takehisa Yairi, Koichi Hori, 2019, TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES, AEROSPACE TECHNOLOGY JAPAN.

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

Anand Srinivasan, Naoya Takeishi, 2020, 2020 59th IEEE Conference on Decision and Control (CDC).

On Anomaly Interpretation via Shapley Values pdf

Naoya Takeishi, Yoshinobu Kawahara, Y. Kawahara, 2020, ArXiv.

Simultaneous estimation of shape and motion of an asteroid for automatic navigation

Naoya Takeishi, Naoko Ogawa, Takehisa Yairi, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Physically-interpretable classification of network dynamics for complex collective motions pdf

Keisuke Fujii, Naoya Takeishi, Yoshinobu Kawahara, 2019, ArXiv.

Learning Dynamics Models with Stable Invariant Sets pdf

Naoya Takeishi, Yoshinobu Kawahara, Y. Kawahara, 2020, AAAI.

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

Naoya Takeishi, Takehisa Yairi, 2017, J. Robotics Mechatronics.

Knowledge-Based Distant Regularization in Learning Probabilistic Models pdf

Naoya Takeishi, Kosuke Akimoto, Naoya Takeishi, 2018, ArXiv.

Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition

Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi, 2017, NIPS.

Knowledge-Based Regularization in Generative Modeling

Naoya Takeishi, Yoshinobu Kawahara, Y. Kawahara, 2020, IJCAI.

Dynamic Grouped Mixture Models for Intermittent Multivariate Sensor Data

Naoki Nishimura, Naoya Takeishi, Takehisa Yairi, 2016, PAKDD.

Anomaly detection from multivariate time-series with sparse representation

Naoya Takeishi, Takehisa Yairi, T. Yairi, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Subspace dynamic mode decomposition for stochastic Koopman analysis.

Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi, 2017, Physical review. E.

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

Naoki Nishimura, Naoya Takeishi, Takehisa Yairi, 2017, IEEE Transactions on Aerospace and Electronic Systems.

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

Yoshinobu Kawahara, Keisuke Fujii, Naoya Takeishi, 2020, ArXiv.

Learning Multiple Nonlinear Dynamical Systems with Side Information

Naoya Takeishi, Yoshinobu Kawahara, 2020, 2020 59th IEEE Conference on Decision and Control (CDC).

Fast estimation of asteroid shape and motion for spacecraft navigation

Naoya Takeishi, Naoko Ogawa, Takehisa Yairi, 2013, 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO).

Verification of Failure Sign Detection in SOFC-based Systems

Yoshinobu Kawahara, Naoya Takeishi, Hisanao Takahashi, 2021, IEEJ Transactions on Electronics, Information and Systems.

Discriminant Dynamic Mode Decomposition for Labeled Spatio-Temporal Data Collections pdf

Yoshinobu Kawahara, Naoya Takeishi, Keisuke Fujii, 2021, SIAM J. Appl. Dyn. Syst..

Asteroid Flyby Cycler Trajectory Design Using Deep Neural Networks pdf

Naoya Takeishi, Naoya Ozaki, Takuya Chikazawa, 2021, ArXiv.

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

Naoya Takeishi, Alexandros Kalousis, Alexandros Kalousis, 2021, Neural Information Processing Systems.

Learning interaction rules from multi-animal trajectories via augmented behavioral models pdf

Yoshinobu Kawahara, Naoya Takeishi, Shizuko Hiryu, 2021, NeurIPS.

Data-driven spectral analysis for coordinative structures in periodic systems with unknown and redundant dynamics

Naoya Takeishi, Benio Kibushi, Motoki Kouzaki, 2019, bioRxiv.