ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2103.14686
  4. Cited By
Generalization capabilities of translationally equivariant neural
  networks
v1v2v3 (latest)

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
ArXiv (abs)PDFHTML

Papers citing "Generalization capabilities of translationally equivariant neural networks"

16 / 16 papers shown
LieAugmenter: Equivariant Learning by Discovering Symmetries with Learnable Augmentations
LieAugmenter: Equivariant Learning by Discovering Symmetries with Learnable Augmentations
Eduardo Santos Escriche
Stefanie Jegelka
Stefanie Jegelka
436
1
0
04 Jun 2025
Approximately Equivariant Neural Processes
Approximately Equivariant Neural ProcessesNeural Information Processing Systems (NeurIPS), 2024
Matthew Ashman
Cristiana-Diana Diaconu
Adrian Weller
W. Bruinsma
Richard E. Turner
BDL
225
8
0
19 Jun 2024
Invariant multiscale neural networks for data-scarce scientific
  applications
Invariant multiscale neural networks for data-scarce scientific applications
I. Schurov
D. Alforov
M. Katsnelson
A. Bagrov
A. Itin
AI4CE
326
0
0
12 Jun 2024
$\mathbb{Z}_2\times \mathbb{Z}_2$ 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
399
8
0
30 Nov 2023
Geometrical aspects of lattice gauge equivariant convolutional neural
  networks
Geometrical aspects of lattice gauge equivariant convolutional neural networks
J. Aronsson
David I. Müller
Daniel Schuh
230
10
0
20 Mar 2023
Geometry-Complete Diffusion for 3D Molecule Generation and Optimization
Geometry-Complete Diffusion for 3D Molecule Generation and OptimizationCommunications Chemistry (Commun. Chem.), 2023
Alex Morehead
Jianlin Cheng
DiffM
579
74
0
08 Feb 2023
How Tempering Fixes Data Augmentation in Bayesian Neural Networks
How Tempering Fixes Data Augmentation in Bayesian Neural NetworksInternational Conference on Machine Learning (ICML), 2022
Gregor Bachmann
Lorenzo Noci
Thomas Hofmann
BDLAAML
348
11
0
27 May 2022
EGR: Equivariant Graph Refinement and Assessment of 3D Protein Complex
  Structures
EGR: Equivariant Graph Refinement and Assessment of 3D Protein Complex Structures
Alex Morehead
Xiao Chen
Tianqi Wu
Jian Liu
Jianlin Cheng
522
8
0
20 May 2022
Applications of Machine Learning to Lattice Quantum Field Theory
Applications of Machine Learning to Lattice Quantum Field Theory
D. Boyda
Salvatore Cali
Sam Foreman
L. Funcke
D. Hackett
...
Gert Aarts
A. Alexandru
Xiao-Yong Jin
B. Lucini
P. Shanahan
AI4CE
297
24
0
10 Feb 2022
Generalization capabilities of neural networks in lattice applications
Generalization capabilities of neural networks in lattice applications
S. S. Krishna Chaitanya Bulusu
Matteo Favoni
A. Ipp
David I. Müller
Daniel Schuh
AI4CE
151
0
0
23 Dec 2021
Prediction and compression of lattice QCD data using machine learning
  algorithms on quantum annealer
Prediction and compression of lattice QCD data using machine learning algorithms on quantum annealer
B. Yoon
Chia-Cheng Chang
Garrett Kenyon
N. T. Nguyen
E. Rrapaj
AI4CE
175
1
0
03 Dec 2021
Machine Learning of Thermodynamic Observables in the Presence of Mode
  Collapse
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
291
14
0
22 Nov 2021
Lattice gauge symmetry in neural networks
Lattice gauge symmetry in neural networks
Matteo Favoni
A. Ipp
David I. Müller
Daniel Schuh
AI4CE
164
0
0
08 Nov 2021
Implicit Bias of Linear Equivariant Networks
Implicit Bias of Linear Equivariant NetworksInternational Conference on Machine Learning (ICML), 2021
Hannah Lawrence
Kristian Georgiev
A. Dienes
B. Kiani
AI4CE
370
18
0
12 Oct 2021
A Living Review of Machine Learning for Particle Physics
A Living Review of Machine Learning for Particle Physics
Matthew Feickert
Benjamin Nachman
KELMAI4CE
249
227
0
02 Feb 2021
Sampling using $SU(N)$ gauge equivariant flows
Sampling using SU(N)SU(N)SU(N) gauge equivariant flows
D. Boyda
G. Kanwar
S. Racanière
Danilo Jimenez Rezende
M. S. Albergo
Kyle Cranmer
D. Hackett
P. Shanahan
492
142
0
12 Aug 2020
1
Page 1 of 1