Incorporating physical constraints in a deep probabilistic machine learning framework for coarse-graining dynamical systems
Journal of Computational Physics
2020
109673
Probabilistic Machine Learning Strategies for Coarse-Graining of Molecular Dynamics at Equilibrium
2020
Dissertation
247 p.
Physics-Aware, Bayesian Machine Learning Models for Uncertainty Quantification of High-Dimensional Systems in the Small Data Regime
2020
Dissertation
187 p.