Generalization capabilities of translationally equivariant neural networks

26 March 2021

Papers citing "Generalization capabilities of translationally equivariant neural networks"

6 / 6 papers shown

Title
$$\mathbb{Z}_2\times \mathbb{Z}_2$ Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks$ $\mathbb{Z}_2\times \mathbb{Z}_2$ Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks Zhongtian Dong Marçal Comajoan Cara Gopal Ramesh Dahale Roy T. Forestano S. Gleyzer ... Kyoungchul Kong Tom Magorsch Konstantin T. Matchev Katia Matcheva Eyup B. Unlu 25 5 0 30 Nov 2023
How Tempering Fixes Data Augmentation in Bayesian Neural Networks Gregor Bachmann Lorenzo Noci Thomas Hofmann BDL AAML 82 8 0 27 May 2022
Machine Learning of Thermodynamic Observables in the Presence of Mode Collapse K. Nicoli Christopher J. Anders L. Funcke T. Hartung K. Jansen Pan Kessel Shinichi Nakajima Paolo Stornati AI4CE 11 13 0 22 Nov 2021
Lattice gauge symmetry in neural networks Matteo Favoni A. Ipp David I. Müller Daniel Schuh AI4CE 16 0 0 08 Nov 2021
Implicit Bias of Linear Equivariant Networks Hannah Lawrence Kristian Georgiev A. Dienes B. Kiani AI4CE 40 14 0 12 Oct 2021
A Living Review of Machine Learning for Particle Physics Matthew Feickert Benjamin Nachman KELM AI4CE 27 178 0 02 Feb 2021