Exponential Separations in Symmetric Neural Networks

Exponential Separations in Symmetric Neural Networks

2 June 2022

Joan Bruna

Papers citing "Exponential Separations in Symmetric Neural Networks"

8 / 8 papers shown

Title
Symmetric Single Index Learning Aaron Zweig Joan Bruna MLT 23 2 0 03 Oct 2023
Polynomial Width is Sufficient for Set Representation with High-dimensional Features Peihao Wang Shenghao Yang Shu Li Zhangyang Wang Pan Li 14 3 0 08 Jul 2023
Representational Strengths and Limitations of Transformers Clayton Sanford Daniel J. Hsu Matus Telgarsky 9 81 0 05 Jun 2023
On the Connection Between MPNN and Graph Transformer Chen Cai Truong Son-Hy Rose Yu Yusu Wang 26 50 0 27 Jan 2023
PELICAN: Permutation Equivariant and Lorentz Invariant or Covariant Aggregator Network for Particle Physics A. Bogatskiy Timothy Hoffman David W. Miller Jan T. Offermann 16 30 0 01 Nov 2022
Towards Antisymmetric Neural Ansatz Separation Aaron Zweig Joan Bruna 12 4 0 05 Aug 2022
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,047 0 02 Dec 2016
Benefits of depth in neural networks Matus Telgarsky 123 602 0 14 Feb 2016