Research topics in ML, AI and Deep Learning
Geometric Deep Learning Euclidean Geometry Group Invariance Theorem Universal Approximation Player Perceptron, Rosenblatt perceptron Curse of Dimensionality > neocognitron LeNet-5 Graph Neural Network, Chemical Precursors, Weisfeiler-Lehman (WL) test DeepSets CNN > Symmetry translation, GNN > Symmetry Permutation CNNs are translation-equivariant; GNN layers are permutation-equivariant, with permutation-invariant graph readouts. https://arxiv.