2 papers
cs.LG2026
Multirate Stein Variational Gradient Descent for Efficient Bayesian Sampling
Arash Sarshar
Many particle-based Bayesian inference methods use a single global step size for all parts of the update. In Stein variational gradient descent (SVGD), however, each update combine…
cs.LG2025
Deep Operator Networks for Bayesian Parameter Estimation in PDEs
Amogh Raj, Carol Eunice Gudumotou, Sakol Bun +2
We present a novel framework combining Deep Operator Networks (DeepONets) with Physics-Informed Neural Networks (PINNs) to solve partial differential equations (PDEs) and estimate…