Machine learning a fixed point action for SU(3) gauge theory with a gauge equivariant convolutional neural network

12 January 2024

Papers citing "Machine learning a fixed point action for SU(3) gauge theory with a gauge equivariant convolutional neural network"

7 / 7 papers shown

Title
Fixed point actions from convolutional neural networks Kieran Holland A. Ipp David I. Müller Urs Wenger 39 5 0 29 Nov 2023
Gauge-equivariant pooling layers for preconditioners in lattice QCD C. Lehner T. Wettig AI4CE 40 8 0 20 Apr 2023
Gauge-equivariant neural networks as preconditioners in lattice QCD C. Lehner T. Wettig AI4CE 48 10 0 10 Feb 2023
Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning P. Shanahan K. Terao D. Whiteson AI4CE 23 29 0 15 Sep 2022
Equivariant flow-based sampling for lattice gauge theory G. Kanwar M. S. Albergo D. Boyda Kyle Cranmer D. Hackett S. Racanière Danilo Jimenez Rezende P. Shanahan AI4CE 45 175 0 13 Mar 2020
Flow-based generative models for Markov chain Monte Carlo in lattice field theory M. S. Albergo G. Kanwar P. Shanahan AI4CE 46 218 0 26 Apr 2019
A high-bias, low-variance introduction to Machine Learning for physicists Pankaj Mehta Marin Bukov Ching-Hao Wang A. G. Day C. Richardson Charles K. Fisher D. Schwab AI4CE 79 873 0 23 Mar 2018