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Aspects of scaling and scalability for flow-based sampling of lattice
  QCD

Aspects of scaling and scalability for flow-based sampling of lattice QCD

14 November 2022
Ryan Abbott
M. S. Albergo
Aleksandar Botev
D. Boyda
Kyle Cranmer
D. Hackett
A. G. Matthews
S. Racanière
Ali Razavi
Danilo Jimenez Rezende
F. Romero-López
P. Shanahan
Julian M. Urban
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Papers citing "Aspects of scaling and scalability for flow-based sampling of lattice QCD"

19 / 19 papers shown
Title
Physics-Conditioned Diffusion Models for Lattice Gauge Theory
Qianteng Zhu
Gert Aarts
Wei Wang
K. Zhou
L. Wang
51
1
0
08 Feb 2025
Empirical evaluation of normalizing flows in Markov Chain Monte Carlo
Empirical evaluation of normalizing flows in Markov Chain Monte Carlo
David Nabergoj
Erik Štrumbelj
BDL
TPM
31
0
0
22 Dec 2024
Flow-Based Sampling for Entanglement Entropy and the Machine Learning of Defects
Flow-Based Sampling for Entanglement Entropy and the Machine Learning of Defects
Andrea Bulgarelli
E. Cellini
K. Jansen
Stefan Kühn
A. Nada
Shinichi Nakajima
K. Nicoli
M. Panero
13
4
0
18 Oct 2024
Numerical determination of the width and shape of the effective string
  using Stochastic Normalizing Flows
Numerical determination of the width and shape of the effective string using Stochastic Normalizing Flows
M. Caselle
E. Cellini
A. Nada
18
4
0
24 Sep 2024
Efficient mapping of phase diagrams with conditional Boltzmann
  Generators
Efficient mapping of phase diagrams with conditional Boltzmann Generators
Maximilian Schebek
Michele Invernizzi
Frank Noé
Jutta Rogal
30
0
0
18 Jun 2024
Bayesian RG Flow in Neural Network Field Theories
Bayesian RG Flow in Neural Network Field Theories
Jessica N. Howard
Marc S. Klinger
Anindita Maiti
A. G. Stapleton
60
1
0
27 May 2024
Practical applications of machine-learned flows on gauge fields
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
22
11
0
17 Apr 2024
Applications of flow models to the generation of correlated lattice QCD
  ensembles
Applications of flow models to the generation of correlated lattice QCD ensembles
Ryan Abbott
Aleksandar Botev
D. Boyda
D. Hackett
G. Kanwar
S. Racanière
Danilo Jimenez Rezende
Fernando Romero-López
P. Shanahan
Julian M. Urban
AI4CE
65
11
0
19 Jan 2024
Generative Diffusion Models for Lattice Field Theory
Generative Diffusion Models for Lattice Field Theory
L. Wang
Gert Aarts
Kai Zhou
DiffM
17
10
0
06 Nov 2023
Diffusion Models as Stochastic Quantization in Lattice Field Theory
Diffusion Models as Stochastic Quantization in Lattice Field Theory
L. Wang
Gert Aarts
Kai Zhou
DiffM
11
14
0
29 Sep 2023
Advances in machine-learning-based sampling motivated by lattice quantum
  chromodynamics
Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics
Kyle Cranmer
G. Kanwar
S. Racanière
Danilo Jimenez Rezende
P. Shanahan
AI4CE
10
27
0
03 Sep 2023
Sampling the lattice Nambu-Goto string using Continuous Normalizing
  Flows
Sampling the lattice Nambu-Goto string using Continuous Normalizing Flows
M. Caselle
E. Cellini
A. Nada
16
14
0
03 Jul 2023
Gauge-equivariant pooling layers for preconditioners in lattice QCD
Gauge-equivariant pooling layers for preconditioners in lattice QCD
C. Lehner
T. Wettig
AI4CE
12
8
0
20 Apr 2023
Locality-constrained autoregressive cum conditional normalizing flow for
  lattice field theory simulations
Locality-constrained autoregressive cum conditional normalizing flow for lattice field theory simulations
R. DineshP.
AI4CE
12
0
0
04 Apr 2023
Detecting and Mitigating Mode-Collapse for Flow-based Sampling of
  Lattice Field Theories
Detecting and Mitigating Mode-Collapse for Flow-based Sampling of Lattice Field Theories
K. Nicoli
Christopher J. Anders
T. Hartung
K. Jansen
Pan Kessel
Shinichi Nakajima
11
21
0
27 Feb 2023
On Sampling with Approximate Transport Maps
On Sampling with Approximate Transport Maps
Louis Grenioux
Alain Durmus
Eric Moulines
Marylou Gabrié
OT
14
15
0
09 Feb 2023
Rigid Body Flows for Sampling Molecular Crystal Structures
Rigid Body Flows for Sampling Molecular Crystal Structures
Jonas Köhler
Michele Invernizzi
P. D. Haan
Frank Noé
AI4CE
25
27
0
26 Jan 2023
Gauge-equivariant flow models for sampling in lattice field theories
  with pseudofermions
Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions
Ryan Abbott
M. S. Albergo
D. Boyda
Kyle Cranmer
D. Hackett
...
Danilo Jimenez Rezende
F. Romero-López
P. Shanahan
B. Tian
Julian M. Urban
18
43
0
18 Jul 2022
Convex Potential Flows: Universal Probability Distributions with Optimal
  Transport and Convex Optimization
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
Chin-Wei Huang
Ricky T. Q. Chen
Christos Tsirigotis
Aaron Courville
OT
112
95
0
10 Dec 2020
1