Neural tangent kernels, transportation mappings, and universal approximation

15 October 2019

Papers citing "Neural tangent kernels, transportation mappings, and universal approximation"

8 / 8 papers shown

Title
VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation Thanh Nguyen-Tang R. Arora OffRL 48 5 0 24 Feb 2023
Nonlinear controllability and function representation by neural stochastic differential equations Tanya Veeravalli Maxim Raginsky DiffM 32 2 0 01 Dec 2022
Approximation results for Gradient Descent trained Shallow Neural Networks in $1d$ R. Gentile G. Welper ODL 63 6 0 17 Sep 2022
On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias Itay Safran Gal Vardi Jason D. Lee MLT 59 23 0 18 May 2022
Optimization-Based Separations for Neural Networks Itay Safran Jason D. Lee 206 14 0 04 Dec 2021
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach Haotian Gu Xin Guo Xiaoli Wei Renyuan Xu OOD 42 36 0 05 Aug 2021
A Neural Tangent Kernel Perspective of GANs Jean-Yves Franceschi Emmanuel de Bézenac Ibrahim Ayed Mickaël Chen Sylvain Lamprier Patrick Gallinari 37 26 0 10 Jun 2021
Fundamental tradeoffs between memorization and robustness in random features and neural tangent regimes Elvis Dohmatob 37 9 0 04 Jun 2021