Monte Carlo guided Diffusion for Bayesian linear inverse problems
By Sylvain Le Corff
Linear and nonlinear schemes for forward model reduction and inverse problems - Lecture 1
By Olga Mula Hernandez
Appears in collection : FLAIM: Formal Languages, AI and Mathematics
We present several applications of transformers to problems of mathematics and theoretical physics, and discuss efforts to mitigate their limitations, out-of-distribution generalization and explainability.