output
20172026
most citedPhysics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with Uncertainty

63 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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cs.LG2021★ 63 cited

Physics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with Uncertainty

Wei Liu, Zhilu Lai, Kiran Bacsa +1

In this paper, we propose a probabilistic physics-guided framework, termed Physics-guided Deep Markov Model (PgDMM). The framework targets the inference of the characteristics and…