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2201.08862
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Stochastic normalizing flows as non-equilibrium transformations
21 January 2022
M. Caselle
E. Cellini
A. Nada
M. Panero
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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
58
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
30
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
19
6
0
06 Feb 2022
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