Unveiling phase transitions with machine learning

2 April 2019

Papers citing "Unveiling phase transitions with machine learning"

10 / 10 papers shown

Title
Hessian Geometry of Latent Space in Generative Models Alexander Lobashev Dmitry Guskov Maria Larchenko M. Tamm DiffM 104 0 0 12 Jun 2025
Exponentially Improved Efficient and Accurate Machine Learning for Quantum Many-body States with Provable Guarantees Yanming Che C. Gneiting Franco Nori 69 1 0 10 Apr 2023
Counting Phases and Faces Using Bayesian Thermodynamic Integration A. Lobashev M. Tamm 55 0 0 18 May 2022
A simple framework for contrastive learning phases of matter Xiaodong Han Sheng-Song Xu Zhen Feng Rong-Qiang He Zhong-Yi Lu 15 4 0 11 May 2022
Quantitative analysis of phase transitions in two-dimensional XY models using persistent homology Nicholas Sale Jeffrey Giansiracusa B. Lucini 50 19 0 22 Sep 2021
Can a CNN trained on the Ising model detect the phase transition of the $q$ -state Potts model? Kimihiko Fukushima K. Sakai 36 12 0 08 Apr 2021
Emergence of a finite-size-scaling function in the supervised learning of the Ising phase transition Dongkyu Kim Dong-Hee Kim LRM 42 2 0 01 Oct 2020
Quantum Long Short-Term Memory Samuel Yen-Chi Chen Shinjae Yoo Yao-Lung L. Fang 78 166 0 03 Sep 2020
Variational Quantum Circuits for Deep Reinforcement Learning Samuel Yen-Chi Chen Chao-Han Huck Yang Jun Qi Pin-Yu Chen Xiaoli Ma H. Goan 110 312 0 30 Jun 2019
Number-State Preserving Tensor Networks as Classifiers for Supervised Learning G. Evenbly 50 11 0 15 May 2019