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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…
cs.LG2024
Thermodynamically-Informed Iterative Neural Operators for Heterogeneous Elastic Localization
Conlain Kelly, Surya R. Kalidindi
Engineering problems frequently require solution of governing equations with spatially-varying discontinuous coefficients. Even for linear elliptic problems, mapping large ensemble…