On Energy-Based Models with Overparametrized Shallow Neural Networks

On Energy-Based Models with Overparametrized Shallow Neural Networks

15 April 2021

Carles Domingo-Enrich

Eric Vanden-Eijnden

Joan Bruna

Papers citing "On Energy-Based Models with Overparametrized Shallow Neural Networks"

9 / 9 papers shown

Title
Shallow diffusion networks provably learn hidden low-dimensional structure Nicholas M. Boffi Arthur Jacot Stephen Tu Ingvar M. Ziemann DiffM 36 1 0 15 Oct 2024
Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian probability distributions Frank Cole Yulong Lu DiffM 28 6 0 12 Feb 2024
Conditionally Strongly Log-Concave Generative Models Florentin Guth Etienne Lempereur Joan Bruna S. Mallat 45 3 0 31 May 2023
Efficient Training of Energy-Based Models Using Jarzynski Equality D. Carbone Mengjian Hua Simon Coste Eric Vanden-Eijnden 21 4 0 30 May 2023
Dual Training of Energy-Based Models with Overparametrized Shallow Neural Networks Carles Domingo-Enrich A. Bietti Marylou Gabrié Joan Bruna Eric Vanden-Eijnden FedML 35 6 0 11 Jul 2021
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics Carles Domingo-Enrich Youssef Mroueh 27 1 0 10 Jun 2021
Two-layer neural networks with values in a Banach space Yury Korolev 29 23 0 05 May 2021
Measuring Sample Quality with Kernels Jackson Gorham Lester W. Mackey 86 222 0 06 Mar 2017
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann A. Gretton BDL 107 324 0 09 Feb 2016