The calculation of steady-states of systems which are both non-reversible and metastable presents a major computational challenge. Here we present work on a class of methods that seek to overcome this ...

Diffusion models provide powerful priors for Bayesian inverse problems, but many posterior samplers rely on heuristic reverse-time modifications and can struggle with nonlinear operators or multimodal ...

Teach statistical data collection and sampling with a coherent, classroom-ready resource bundle designed for AQA AS Mathematics. The materials develop the full learning journey from asking a precise ...

A professor in Florida State University’s Department of Mathematics has made a breakthrough that will allow scientists across academic disciplines and financial institutions to shrink sampling errors ...