Variational Inference Using a Differentiable Multigrid Linear Solver

Andrés Ramírez, Philipp Haim, David Föger +9

Gradient-based Bayesian inference methods require efficient access to Jacobian and adjoint-Jacobian operators of high-dimensional forward models. While multigrid solvers provide ne…