2023
Convolutional Neural Operators for robust and accurate learning of PDEs
NeurIPS 2023poster
Although very successfully used in conventional machine learning, convolution based neural network architectures -- believed to be inconsistent in function space -- have been largely ignored in the context of learning solution operators of PDEs. Here, we present novel adaptations for convolutional n…