Stochastic normalizing flows as non-equilibrium transformations

Stochastic normalizing flows as non-equilibrium transformations

21 January 2022

Papers citing "Stochastic normalizing flows as non-equilibrium transformations"

15 / 15 papers shown

Title
NeuMC -- a package for neural sampling for lattice field theories Piotr Bialas P. Korcyl T. Stebel Dawid Zapolski 39 0 0 14 Mar 2025
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
Physics-Conditioned Diffusion Models for Lattice Gauge Theory Qianteng Zhu Gert Aarts Wei Wang K. Zhou Lei Wang 55 1 0 08 Feb 2025
Simulating the Hubbard Model with Equivariant Normalizing Flows Dominic Schuh Janik Kreit Evan Berkowitz L. Funcke Thomas Luu K. Nicoli Marcel Rodekamp 36 3 0 13 Jan 2025
On learning higher-order cumulants in diffusion models Gert Aarts Diaa E. Habibi Lei Wang K. Zhou 26 4 0 28 Oct 2024
NETS: A Non-Equilibrium Transport Sampler M. S. Albergo Eric Vanden-Eijnden DiffM 47 9 0 03 Oct 2024
Numerical determination of the width and shape of the effective string using Stochastic Normalizing Flows M. Caselle E. Cellini A. Nada 28 4 0 24 Sep 2024
Practical applications of machine-learned flows on gauge fields Ryan Abbott M. S. Albergo D. Boyda D. Hackett G. Kanwar Fernando Romero-López P. Shanahan Julian M. Urban AI4CE 33 11 0 17 Apr 2024
Multi-Lattice Sampling of Quantum Field Theories via Neural Operator-based Flows Bálint Máté Franccois Fleuret AI4CE 34 0 0 01 Jan 2024
Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization Dinghuai Zhang Ricky Tian Qi Chen Cheng-Hao Liu Aaron C. Courville Yoshua Bengio 34 40 0 04 Oct 2023
Diffusion Models as Stochastic Quantization in Lattice Field Theory Lei Wang Gert Aarts Kai Zhou DiffM 32 14 0 29 Sep 2023
Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics Kyle Cranmer G. Kanwar S. Racanière Danilo Jimenez Rezende P. Shanahan AI4CE 29 27 0 03 Sep 2023
Sampling the lattice Nambu-Goto string using Continuous Normalizing Flows M. Caselle E. Cellini A. Nada 25 14 0 03 Jul 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
Estimating the Euclidean quantum propagator with deep generative modeling of Feynman paths Yanming Che C. Gneiting Franco Nori 17 6 0 06 Feb 2022