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Fokker-Planck-based Inverse Reinforcement Learning — A Physics-Constrained Approach to Markov Decision Process Models of Cell Dynamics
Presenter
- Krishna Garikipati
May 14, 2024
IMSI
Upscaling of dislocation dynamics via automated on-the-fly active learning workflows from atomistics
Presenter
- Soumendu Bagchi
May 14, 2024
IMSI
Rethinking materials simulations: Blending direct numerical simulations with neural operators
Presenter
- Vivek Oommen
May 14, 2024
IMSI
Multifidelity stacking networks for physics-informed training
Presenter
- Amanda Howard
May 13, 2024
IMSI
Modeling Molecular Kinetics with Koopman Operators and Kernel-based Learning
Presenter
- Feliks N\u00fcske
May 13, 2024
IMSI
Nonlinear Model Reduction for Slow-Fast Stochastic Systems near Unknown Invariant Manifolds
Presenter
- Sichen Yang
May 13, 2024
IMSI
Modeling rare events. Discovering reaction pathways, slow variables, and committor probabilities with machine learning
Presenter
- Christophe Chipot
April 26, 2024
IMSI
Designing protein models with machine learning and experimental data
Presenter
- Klara Bonneau
April 26, 2024
IMSI
Learning Collective Variables and Kernels from Observations
Presenter
- Ming Zhong
April 26, 2024
IMSI