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Generalization capabilities of translationally equivariant neural
  networks

Generalization capabilities of translationally equivariant neural networks

26 March 2021
S. S. Krishna Chaitanya Bulusu
Matteo Favoni
A. Ipp
David I. Müller
Daniel Schuh
    AI4CE
ArXivPDFHTML

Papers citing "Generalization capabilities of translationally equivariant neural networks"

4 / 4 papers shown
Title
$\mathbb{Z}_2\times \mathbb{Z}_2$ Equivariant Quantum Neural Networks:
  Benchmarking against Classical Neural Networks
Z2×Z2\mathbb{Z}_2\times \mathbb{Z}_2Z2​×Z2​ 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
20
5
0
30 Nov 2023
How Tempering Fixes Data Augmentation in Bayesian Neural Networks
How Tempering Fixes Data Augmentation in Bayesian Neural Networks
Gregor Bachmann
Lorenzo Noci
Thomas Hofmann
BDL
AAML
74
8
0
27 May 2022
Lattice gauge symmetry in neural networks
Lattice gauge symmetry in neural networks
Matteo Favoni
A. Ipp
David I. Müller
Daniel Schuh
AI4CE
11
0
0
08 Nov 2021
Implicit Bias of Linear Equivariant Networks
Implicit Bias of Linear Equivariant Networks
Hannah Lawrence
Kristian Georgiev
A. Dienes
B. Kiani
AI4CE
32
14
0
12 Oct 2021
1