295 citations · 3.3k across the 91 of their papers we have counts for
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cond-mat.stat-mech2020★ 29 cited
Generative models for sampling and phase transition indication in spin systems
Japneet Singh, Vipul Arora, Vinay Gupta +1
Recently, generative machine-learning models have gained popularity in physics, driven by the goal of improving the efficiency of Markov chain Monte Carlo techniques and of explori…
cond-mat.stat-mech2018★ 274 cited
Identifying topological order through unsupervised machine learning
Joaquin F. Rodriguez-Nieva, Mathias S. Scheurer
The Landau description of phase transitions relies on the identification of a local order parameter that indicates the onset of a symmetry-breaking phase. In contrast, topological…