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Nicolas Baskiotis

2 accepted papers

2022

Generalizing to New Physical Systems via Context-Informed Dynamics Model

ICML 2022spotlight

Data-driven approaches to modeling physical systems fail to generalize to unseen systems that share the same general dynamics with the learning domain, but correspond to different physical contexts. We propose a new framework for this key problem, context-informed dynamics adaptation (CoDA), which t…

2021

LEADS: Learning Dynamical Systems that Generalize Across Environments

NeurIPS 2021poster

When modeling dynamical systems from real-world data samples, the distribution of data often changes according to the environment in which they are captured, and the dynamics of the system itself vary from one environment to another. Generalizing across environments thus challenges the conventional…