Overview
Syllabus
Intro
DEEP LEARNING ON REGULAR GRIDS
TOWARDS NON-EUCLIDEAN GEOMETRIES
PHYSICS-BASED GEOMETRIC LEARNING
GEOMETRIC STABILITY IN EUCLIDEAN DOMAINS
CONVOLUTIONAL NEURAL NETWORKS
NON-EUCLIDEAN GEOMETRIC STABILITY
DEFORMATIONS AND METRICS
DIFFUSION AND METRIC STABILITY
LINEAR STABLE GENERATORS
LAPLACIAN INTERPRETATION
SURFACE REPRESENTATIONS
PARTICLE PHYSICS WITH GRAPH NEURAL NETWORKS
ICECUBE NEUTRINO DETECTION
INVERSE PROBLEMS ON GRAPHS
DABL-DRIVEN COMMUNITY DETECTION
REACHING DETECTION THRESHOLD ON SEM
GRAPH NEURAL NETWORKS ON GRAPH HIERARCHES
COMPUTATIONAL-TO-STATISTICAL GAPS
SUPERVISED COMMUNITY DETECTION
CURRENT AND OPEN PROBLEMS
Taught by
APS Physics