Identifying phase transitions in physical systems with neural networks: a neural architecture search perspective

23 April 2024

Papers citing "Identifying phase transitions in physical systems with neural networks: a neural architecture search perspective"

7 / 7 papers shown

Title
Fast Detection of Phase Transitions with Multi-Task Learning-by-Confusion Julian Arnold Frank Schafer Niels Lörch 66 5 0 15 Nov 2023
DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems Lei Ma Felix Juefei Xu Fuyuan Zhang Jiyuan Sun Minhui Xue ... Ting Su Li Li Yang Liu Jianjun Zhao Yadong Wang ELM 78 624 0 20 Mar 2018
Deep Learning the Ising Model Near Criticality A. Morningstar R. Melko AI4CE 56 86 0 15 Aug 2017
DeepXplore: Automated Whitebox Testing of Deep Learning Systems Kexin Pei Yinzhi Cao Junfeng Yang Suman Jana AAML 109 1,375 0 18 May 2017
Unsupervised learning of phase transitions: from principal component analysis to variational autoencoders S. J. Wetzel SSL DRL 38 318 0 07 Mar 2017
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 435 18,361 0 27 May 2016
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 390 9,524 0 28 May 2015