Learning the Ising Model with Generative Neural Networks

15 January 2020

Papers citing "Learning the Ising Model with Generative Neural Networks"

9 / 9 papers shown

Title
Multilevel Generative Samplers for Investigating Critical Phenomena Ankur Singha E. Cellini K. Nicoli K. Jansen Stefan Kühn Shinichi Nakajima 62 1 0 11 Mar 2025
Statistical Mechanics and Artificial Neural Networks: Principles, Models, and Applications Lucas Böttcher Gregory R. Wheeler 32 0 0 05 Apr 2024
Approximate sampling and estimation of partition functions using neural networks George T. Cantwell BDL DRL 19 1 0 21 Sep 2022
Physics-Guided Problem Decomposition for Scaling Deep Learning of High-dimensional Eigen-Solvers: The Case of Schrödinger's Equation Sangeeta Srivastava Samuel W. Olin V. Podolskiy Anuj Karpatne Wei‐Cheng Lee Anish Arora 16 0 0 12 Feb 2022
Fine-tuning Vision Transformers for the Prediction of State Variables in Ising Models Onur Kara Arijit Sehanobish H. Corzo 18 4 0 28 Sep 2021
Discriminating modelling approaches for Point in Time Economic Scenario Generation Rui Wang 9 0 0 19 Aug 2021
Variational Autoencoder Analysis of Ising Model Statistical Distributions and Phase Transitions D. Yevick DRL 12 7 0 13 Apr 2021
Can a CNN trained on the Ising model detect the phase transition of the $q$ -state Potts model? Kimihiko Fukushima K. Sakai 9 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 11 2 0 01 Oct 2020