Extending machine learning classification capabilities with histogram reweighting

29 April 2020

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

9 / 9 papers shown

Title
Equivariant flow-based sampling for lattice gauge theory G. Kanwar M. S. Albergo D. Boyda Kyle Cranmer D. Hackett S. Racanière Danilo Jimenez Rezende P. Shanahan AI4CE 45 175 0 13 Mar 2020
Flow-based generative models for Markov chain Monte Carlo in lattice field theory M. S. Albergo G. Kanwar P. Shanahan AI4CE 46 218 0 26 Apr 2019
Solving Statistical Mechanics Using Variational Autoregressive Networks Dian Wu Lei Wang Pan Zhang 61 184 0 27 Sep 2018
Probing hidden spin order with interpretable machine learning J. Greitemann Ke Liu L. Pollet 36 49 0 23 Apr 2018
Unsupervised learning of phase transitions: from principal component analysis to variational autoencoders S. J. Wetzel SSL DRL 38 317 0 07 Mar 2017
Can Boltzmann Machines Discover Cluster Updates ? Lei Wang AI4CE 35 34 0 28 Feb 2017
Accelerate Monte Carlo Simulations with Restricted Boltzmann Machines Li Huang Lei Wang AI4CE 45 199 0 10 Oct 2016
Learning Thermodynamics with Boltzmann Machines G. Torlai R. Melko AI4CE 29 199 0 08 Jun 2016
Discovering Phase Transitions with Unsupervised Learning Lei Wang 39 439 0 01 Jun 2016