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Machine Learning Trivializing Maps: A First Step Towards Understanding
  How Flow-Based Samplers Scale Up

Machine Learning Trivializing Maps: A First Step Towards Understanding How Flow-Based Samplers Scale Up

31 December 2021
L. Debbio
Joe Marsh Rossney
Michael Wilson
ArXivPDFHTML

Papers citing "Machine Learning Trivializing Maps: A First Step Towards Understanding How Flow-Based Samplers Scale Up"

3 / 3 papers shown
Title
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
24
22
0
27 Feb 2023
Comparative Study of Coupling and Autoregressive Flows through Robust
  Statistical Tests
Comparative Study of Coupling and Autoregressive Flows through Robust Statistical Tests
A. Coccaro
Marco Letizia
H. Reyes-González
Riccardo Torre
OOD
30
5
0
23 Feb 2023
Path-Gradient Estimators for Continuous Normalizing Flows
Path-Gradient Estimators for Continuous Normalizing Flows
Lorenz Vaitl
K. Nicoli
Shinichi Nakajima
Pan Kessel
14
13
0
17 Jun 2022
1