Deep learning models for self-driving cars require a diverse training da...
Inference and simulation in the context of high-dimensional dynamical sy...
Crystal-graph attention networks have emerged recently as remarkable too...
Garnets, known since the early stages of human civilization, have found
...
Probabilistic numerical methods (PNMs) solve numerical problems via
prob...
This work develops a class of probabilistic algorithms for the numerical...
Probabilistic solvers for ordinary differential equations (ODEs) have em...
Mechanistic models with differential equations are a key component of
sc...