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 ...

Accurate forest volume estimation is crucial for sustainable forest management, but the most commonly used methods often rely on models that may not always be applicable across different tree species ...