High Energy Physics - Lattice · Physics
A novel gauge-equivariant neural-network architecture for preconditioners in lattice QCD
Simon Pfahler, Daniel Knüttel, Christoph Lehner, Tilo Wettig
2026-04-23
High Energy Physics - Lattice · Physics
Preserving gauge invariance in neural networks
Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh
2022-02-16
Strongly Correlated Electrons · Physics
Gauge equivariant neural networks for quantum lattice gauge theories
Di Luo, Giuseppe Carleo, Bryan K. Clark, James Stokes
2022-05-13
High Energy Physics - Lattice · Physics
Lattice gauge equivariant convolutional neural networks
Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh
2022-02-22
Machine Learning · Computer Science
Equivariant Adaptation of Large Pretrained Models
Arnab Kumar Mondal, Siba Smarak Panigrahi, Sékou-Oumar Kaba, Sai Rajeswar +1
2023-10-31
High Energy Physics - Lattice · Physics
Lattice gauge symmetry in neural networks
Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh
2021-11-09
High Energy Physics - Lattice · Physics
Matrix-free Neural Preconditioner for the Dirac Operator in Lattice Gauge Theory
Yixuan Sun, Srinivas Eswar, Yin Lin, William Detmold +4
2025-09-15
High Energy Physics - Lattice · Physics
Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation
Di Luo, Shunyue Yuan, James Stokes, Bryan K. Clark
2022-11-08
Machine Learning · Computer Science
Unsupervised Learning of Group Invariant and Equivariant Representations
Robin Winter, Marco Bertolini, Tuan Le, Frank Noé +1
2024-04-15
High Energy Physics - Lattice · Physics
Generalization capabilities of translationally equivariant neural networks
Srinath Bulusu, Matteo Favoni, Andreas Ipp, David I. Müller +1
2021-10-12
Machine Learning · Computer Science
Learning from Linear Algebra: A Graph Neural Network Approach to Preconditioner Design for Conjugate Gradient Solvers
Vladislav Trifonov, Alexander Rudikov, Oleg Iliev, Yuri M. Laevsky +2
2025-02-04
High Energy Physics - Lattice · Physics
Generalization capabilities of neural networks in lattice applications
Srinath Bulusu, Matteo Favoni, Andreas Ipp, David I. Müller +1
2021-12-24
Machine Learning · Computer Science
Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials
Ivan Grega, Ilyes Batatia, Gábor Csányi, Sri Karlapati +1
2024-03-21
Machine Learning · Computer Science
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Taco S. Cohen, Maurice Weiler, Berkay Kicanaoglu, Max Welling
2019-05-15
High Energy Physics - Lattice · Physics
Applying machine learning methods to prediction problems of lattice observables
N. V. Gerasimeniuk, M. N. Chernodub, V. A. Goy, D. L. Boyda +2
2022-01-27
High Energy Physics - Lattice · Physics
A Machine Learning Approach for Lattice Gauge Fixing
Ho Hsiao, Benjamin J. Choi, Hiroshi Ohno, Akio Tomiya
2026-03-05