A Functional Perspective on Learning Symmetric Functions with Neural
Networks

A Functional Perspective on Learning Symmetric Functions with Neural Networks

16 August 2020

Joan Bruna

Papers citing "A Functional Perspective on Learning Symmetric Functions with Neural Networks"

8 / 8 papers shown

Title
Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks Fanghui Liu L. Dadi V. Cevher 82 2 0 29 Apr 2024
How Smooth Is Attention? Valérie Castin Pierre Ablin Gabriel Peyré AAML 40 9 0 22 Dec 2023
Anti-symmetric Barron functions and their approximation with sums of determinants Nilin Abrahamsen Lin Lin 33 4 0 22 Mar 2023
Deep Neural Network Approximation of Invariant Functions through Dynamical Systems Qianxiao Li T. Lin Zuowei Shen 24 6 0 18 Aug 2022
Efficient anti-symmetrization of a neural network layer by taming the sign problem Nilin Abrahamsen Lin Lin 30 0 0 24 May 2022
Sinkformers: Transformers with Doubly Stochastic Attention Michael E. Sander Pierre Ablin Mathieu Blondel Gabriel Peyré 29 76 0 22 Oct 2021
From Local Structures to Size Generalization in Graph Neural Networks Gilad Yehudai Ethan Fetaya E. Meirom Gal Chechik Haggai Maron GNN AI4CE 172 123 0 17 Oct 2020
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 127 577 0 27 Feb 2015