-
Neural operators and chaotic attractors
Training neural operators to preserve invariant measures of chaotic attractors
-
Machine Learning and the Physical Sciences
A NeurIPS 2023 workshop
-
Physics-informed machine learning meets engineering
An online seminars serie hosted by the Alan Turing Institute
-
NeuPDE
Hard-coding derivative to reduce the parameter count in NeuralODE
-
MeshFreeFlowNet
A Physics-constrained super-resolution framework