Naoya Takeishi

CoRR, 2024

Mimicking Better by Matching the Approximate Action Distribution.

[BibT_eX]

[DOI]

João A. Cândido Ramos

Lionel Blondé

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adaptive Action Supervision in Reinforcement Learning from Real-World Multi-Agent Demonstrations.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023

A Characteristic Function for Shapley-Value-Based Attribution of Anomaly Scores.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Sample-Efficient On-Policy Imitation Learning from Observations.

[BibT_eX]

[DOI]

João A. Cândido Ramos

Lionel Blondé

CoRR, 2023

Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Discriminant Dynamic Mode Decomposition for Labeled Spatiotemporal Data Collections.

[BibT_eX]

[DOI]

SIAM J. Appl. Dyn. Syst., 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Estimating counterfactual treatment outcomes over time in multi-vehicle simulation.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

2021

Asteroid Flyby Cycler Trajectory Design Using Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Dynamics Models with Stable Invariant Sets.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

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

[BibT_eX]

[DOI]

CoRR, 2020

On Anomaly Interpretation via Shapley Values.

[BibT_eX]

[DOI]

CoRR, 2020

Knowledge-Based Regularization in Generative Modeling.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning Multiple Nonlinear Dynamical Systems with Side Information.

[BibT_eX]

[DOI]

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

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

[BibT_eX]

[DOI]

Anand Srinivasan

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Regularizing Generative Models Using Knowledge of Feature Dependence.

[BibT_eX]

[DOI]

CoRR, 2019

Neural Gray-Box Identification of Nonlinear Partial Differential Equations.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

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

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

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

[BibT_eX]

[DOI]

Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018

Knowledge-Based Distant Regularization in Learning Probabilistic Models.

[BibT_eX]

[DOI]

Kosuke Akimoto

CoRR, 2018

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

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

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

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

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

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2017

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

[BibT_eX]

[DOI]

J. Robotics Mechatronics, 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Bayesian Dynamic Mode Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Sparse nonnegative dynamic mode decomposition.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Dynamic Grouped Mixture Models for Intermittent Multivariate Sensor Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

2015

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

Anomaly detection from multivariate time-series with sparse representation.

[BibT_eX]

[DOI]