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Extending machine learning classification capabilities with histogram
  reweighting

Extending machine learning classification capabilities with histogram reweighting

29 April 2020
Dimitrios Bachtis
Gert Aarts
B. Lucini
ArXivPDFHTML

Papers citing "Extending machine learning classification capabilities with histogram reweighting"

4 / 4 papers shown
Title
Aspects of scaling and scalability for flow-based sampling of lattice
  QCD
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
Quantitative analysis of phase transitions in two-dimensional XY models
  using persistent homology
Quantitative analysis of phase transitions in two-dimensional XY models using persistent homology
Nicholas Sale
Jeffrey Giansiracusa
B. Lucini
16
19
0
22 Sep 2021
Quantum field-theoretic machine learning
Quantum field-theoretic machine learning
Dimitrios Bachtis
Gert Aarts
B. Lucini
AI4CE
19
28
0
18 Feb 2021
Adding machine learning within Hamiltonians: Renormalization group
  transformations, symmetry breaking and restoration
Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration
Dimitrios Bachtis
Gert Aarts
B. Lucini
AI4CE
20
19
0
30 Sep 2020
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