Learning Lattice Quantum Field Theories with Equivariant Continuous Flows

1 July 2022

Papers citing "Learning Lattice Quantum Field Theories with Equivariant Continuous Flows"

7 / 7 papers shown

Title
Multilevel Generative Samplers for Investigating Critical Phenomena Ankur Singha E. Cellini K. Nicoli K. Jansen Stefan Kühn Shinichi Nakajima 64 1 0 11 Mar 2025
Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion Vinh Tong Trung-Dung Hoang Anji Liu Guy Van den Broeck Mathias Niepert DiffM 82 0 0 14 Feb 2025
On learning higher-order cumulants in diffusion models Gert Aarts Diaa E. Habibi Lei Wang K. Zhou 26 4 0 28 Oct 2024
Bayesian RG Flow in Neural Network Field Theories Jessica N. Howard Marc S. Klinger Anindita Maiti A. G. Stapleton 68 1 0 27 May 2024
Fluctuation without dissipation: Microcanonical Langevin Monte Carlo Jakob Robnik U. Seljak 49 6 0 31 Mar 2023
Aspects of scaling and scalability for flow-based sampling of lattice QCD Ryan Abbott M. S. Albergo Aleksandar Botev D. Boyda Kyle Cranmer ... Ali Razavi Danilo Jimenez Rezende F. Romero-López P. Shanahan Julian M. Urban 32 33 0 14 Nov 2022
Deformations of Boltzmann Distributions Bálint Máté Franccois Fleuret OT 28 2 0 25 Oct 2022