Media Summary: Mini-cours sur algorithmes en temps sous-linéaire pour l'approximation de fonctions de plusieurs variables/ Mini-course on ... Sparse Fourier Transforms on Rank-1 Lattices for the Rapid and Low-Memory Approximation of Functions of Many Variables + ... Do neural networks learn symmetries in data? What is the best way to make a neural network respect a symmetry in the data?
Mark Iwen - Detailed Analysis & Overview
Mini-cours sur algorithmes en temps sous-linéaire pour l'approximation de fonctions de plusieurs variables/ Mini-course on ... Sparse Fourier Transforms on Rank-1 Lattices for the Rapid and Low-Memory Approximation of Functions of Many Variables + ... Do neural networks learn symmetries in data? What is the best way to make a neural network respect a symmetry in the data? Sublinear-time Variants of CoSaMP for Function Approximation Six Total Lectures Over 3 Days, Two Lectures per Day Day 3 ... The injective norm of some random tensors, and a few applications We'll look at the injective norm of random tensors drawn from ...
