ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.12901
  4. Cited By
Lattice gauge equivariant convolutional neural networks

Lattice gauge equivariant convolutional neural networks

23 December 2020
Matteo Favoni
A. Ipp
David I. Müller
Daniel Schuh
ArXivPDFHTML

Papers citing "Lattice gauge equivariant convolutional neural networks"

28 / 28 papers shown
Title
AtlasD: Automatic Local Symmetry Discovery
AtlasD: Automatic Local Symmetry Discovery
Manu Bhat
Jonghyun Park
Jianke Yang
Nima Dehmamy
Robin Walters
Rose Yu
26
0
0
15 Apr 2025
Learning Chern Numbers of Topological Insulators with Gauge Equivariant Neural Networks
Learning Chern Numbers of Topological Insulators with Gauge Equivariant Neural Networks
Longde Huang
Oleksandr Balabanov
Hampus Linander
Mats Granath
Daniel Persson
Jan E. Gerken
46
0
0
24 Feb 2025
Physics-Conditioned Diffusion Models for Lattice Gauge Theory
Qianteng Zhu
Gert Aarts
Wei Wang
K. Zhou
Lei Wang
61
1
0
08 Feb 2025
Optimal Symmetries in Binary Classification
Optimal Symmetries in Binary Classification
Vishal S. Ngairangbam
M. Spannowsky
39
1
0
16 Aug 2024
Approximately-symmetric neural networks for quantum spin liquids
Approximately-symmetric neural networks for quantum spin liquids
Dominik S. Kufel
Jack Kemp
Simon M. Linsel
C. Laumann
Norman Y. Yao
47
3
0
27 May 2024
Multi-Lattice Sampling of Quantum Field Theories via Neural
  Operator-based Flows
Multi-Lattice Sampling of Quantum Field Theories via Neural Operator-based Flows
Bálint Máté
Franccois Fleuret
AI4CE
34
0
0
01 Jan 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
30
5
0
30 Nov 2023
Fixed point actions from convolutional neural networks
Fixed point actions from convolutional neural networks
Kieran Holland
A. Ipp
David I. Müller
Urs Wenger
20
5
0
29 Nov 2023
Diffusion Models as Stochastic Quantization in Lattice Field Theory
Diffusion Models as Stochastic Quantization in Lattice Field Theory
Lei Wang
Gert Aarts
Kai Zhou
DiffM
32
14
0
29 Sep 2023
Gauge-equivariant pooling layers for preconditioners in lattice QCD
Gauge-equivariant pooling layers for preconditioners in lattice QCD
C. Lehner
T. Wettig
AI4CE
25
8
0
20 Apr 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
31
7
0
20 Mar 2023
Gauge-equivariant neural networks as preconditioners in lattice QCD
Gauge-equivariant neural networks as preconditioners in lattice QCD
C. Lehner
T. Wettig
AI4CE
33
10
0
10 Feb 2023
Simulating 2+1D Lattice Quantum Electrodynamics at Finite Density with
  Neural Flow Wavefunctions
Simulating 2+1D Lattice Quantum Electrodynamics at Finite Density with Neural Flow Wavefunctions
Zhuo Chen
Di Luo
Kaiwen Hu
B. Clark
27
14
0
14 Dec 2022
Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations
  in Hamiltonian Formulation
Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation
Di Luo
Shunyue Yuan
J. Stokes
B. Clark
25
14
0
06 Nov 2022
Learning Spatiotemporal Chaos Using Next-Generation Reservoir Computing
Learning Spatiotemporal Chaos Using Next-Generation Reservoir Computing
W. A. S. Barbosa
D. Gauthier
30
33
0
24 Mar 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
32
19
0
10 Feb 2022
Stochastic normalizing flows as non-equilibrium transformations
Stochastic normalizing flows as non-equilibrium transformations
M. Caselle
E. Cellini
A. Nada
M. Panero
36
34
0
21 Jan 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
8
0
0
23 Dec 2021
Machine Learning in Nuclear Physics
Machine Learning in Nuclear Physics
A. Boehnlein
M. Diefenthaler
C. Fanelli
M. Hjorth-Jensen
T. Horn
...
M. Schram
A. Scheinker
Michael S. Smith
Xin-Nian Wang
Veronique Ziegler
AI4CE
42
41
0
04 Dec 2021
Lattice gauge symmetry in neural networks
Lattice gauge symmetry in neural networks
Matteo Favoni
A. Ipp
David I. Müller
Daniel Schuh
AI4CE
21
0
0
08 Nov 2021
Geometric Deep Learning and Equivariant Neural Networks
Geometric Deep Learning and Equivariant Neural Networks
Jan E. Gerken
J. Aronsson
Oscar Carlsson
Hampus Linander
F. Ohlsson
Christoffer Petersson
Daniel Persson
MLT
13
67
0
28 May 2021
Homogeneous vector bundles and $G$-equivariant convolutional neural
  networks
Homogeneous vector bundles and GGG-equivariant convolutional neural networks
J. Aronsson
35
24
0
12 May 2021
Deep Learning Hamiltonian Monte Carlo
Deep Learning Hamiltonian Monte Carlo
Sam Foreman
Xiao-Yong Jin
James C. Osborn
22
16
0
07 May 2021
Generalization capabilities of translationally equivariant neural
  networks
Generalization capabilities of translationally equivariant neural networks
S. S. Krishna Chaitanya Bulusu
Matteo Favoni
A. Ipp
David I. Müller
Daniel Schuh
AI4CE
33
20
0
26 Mar 2021
Quantum field-theoretic machine learning
Quantum field-theoretic machine learning
Dimitrios Bachtis
Gert Aarts
B. Lucini
AI4CE
19
28
0
18 Feb 2021
A Living Review of Machine Learning for Particle Physics
A Living Review of Machine Learning for Particle Physics
Matthew Feickert
Benjamin Nachman
KELM
AI4CE
31
178
0
02 Feb 2021
Introduction to Normalizing Flows for Lattice Field Theory
Introduction to Normalizing Flows for Lattice Field Theory
M. S. Albergo
D. Boyda
D. Hackett
G. Kanwar
Kyle Cranmer
S. Racanière
Danilo Jimenez Rezende
P. Shanahan
AI4CE
21
58
0
20 Jan 2021
Gauge equivariant neural networks for quantum lattice gauge theories
Gauge equivariant neural networks for quantum lattice gauge theories
Di Luo
Giuseppe Carleo
B. Clark
J. Stokes
14
47
0
09 Dec 2020
1