2026
Scalable Bayesian Inference for Nonlinear Conservation Laws
ICML 2026poster
Nonlinear conservation laws are at the heart of many of the most important dynamical systems in science and engineering. In practical applications, such systems are often subject to various sources of uncertainty, e.g. due to sparse or noisy measurements. Inferring physical quantities and fields of …