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Incorporating physical constraints in a deep probabilistic machine learning framework for coarse-graining dynamical systems.
Sebastian Kaltenbach
Phaedon-Stelios Koutsourelakis
Published in:
J. Comput. Phys. (2020)
Keyphrases
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dynamical systems
machine learning
physical constraints
probabilistic model
dynamic systems
nonlinear dynamical systems
linear systems
latent variable models
control theory
phase space
reinforcement learning
state space
generative model
qualitative simulation