A Classification of $G$ -invariant Shallow Neural Networks

18 May 2022

Papers citing "A Classification of $G$-invariant Shallow Neural Networks"

8 / 8 papers shown

Title
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry J. G. Wiese Lisa Wimmer Theodore Papamarkou Bernd Bischl Stephan Günnemann David Rügamer 24 11 0 06 Apr 2023
Densely Connected $G$ -invariant Deep Neural Networks with Signed Permutation Representations Devanshu Agrawal James Ostrowski AI4CE 33 0 0 08 Mar 2023
Equivariance-aware Architectural Optimization of Neural Networks Kaitlin Maile Dennis G. Wilson Patrick Forré AI4CE 39 9 0 11 Oct 2022
A Group-Equivariant Autoencoder for Identifying Spontaneously Broken Symmetries Devanshu Agrawal A. Del Maestro Steven Johnston James Ostrowski DRL AI4CE 36 2 0 13 Feb 2022
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey M. Rath A. P. Condurache ViT AI4CE 27 9 0 30 Jun 2020
Universal Equivariant Multilayer Perceptrons Siamak Ravanbakhsh 98 48 0 07 Feb 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 165 308 0 05 Nov 2018
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 14,103 0 02 Dec 2016