2 papers
cs.LG2026
Modeling Stochastic Conditional Dynamics from Sparse Observations via Kernel-Stabilized Flow Matching
Adam P. Generale, Andreas E. Robertson, Surya R. Kalidindi
Learning to transform conditional probability densities over time is a fundamental challenge spanning probabilistic modeling and the natural sciences. This task is paramount when f…
physics.chem-ph2025
Refining Coarse-Grained Molecular Topologies: A Bayesian Optimization Approach
Pranoy Ray, Adam P. Generale, Nikhith Vankireddy +6
Molecular Dynamics (MD) simulations are essential for accurately predicting the physical and chemical properties of large molecular systems across various pressure and temperature…