Incorporating physical constraints in a deep probabilistic machine learning framework for coarse-graining dynamical systems
Sebastian Kaltenbach, Phaedon‐Stelios Koutsourelakis
Topics & Concepts
Probabilistic logicOverfittingComputer sciencePhysical systemArtificial intelligenceMachine learningInferenceContext (archaeology)Dynamical systems theoryObservableArtificial neural networkPaleontologyQuantum mechanicsBiologyPhysicsModel Reduction and Neural NetworksComputational Physics and Python ApplicationsGaussian Processes and Bayesian Inference