Machine learning for differential equations paves the way for computatio...
Graph Neural Networks (GNN) are inherently limited in their expressive p...
Self-supervised learning (SSL) has emerged as a powerful framework to le...
The fundamental goal of self-supervised learning (SSL) is to produce use...
Group equivariant convolutional neural networks (G-CNNs) are generalizat...
Group convolutions and cross-correlations, which are equivariant to the
...
Quantum algorithms for both differential equation solving and for machin...
The reliability of most deep learning algorithms is fundamentally challe...