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

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

23 April 2024
R. C. Terin
Z. G. Arenas
Roberto Santana
ArXivPDFHTML

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

3 / 3 papers shown
Title
Physics-informed neural networks viewpoint for solving the Dyson-Schwinger equations of quantum electrodynamics
Physics-informed neural networks viewpoint for solving the Dyson-Schwinger equations of quantum electrodynamics
Rodrigo Carmo Terin
PINN
67
1
0
04 Nov 2024
Fast Detection of Phase Transitions with Multi-Task
  Learning-by-Confusion
Fast Detection of Phase Transitions with Multi-Task Learning-by-Confusion
Julian Arnold
Frank Schafer
Niels Lörch
15
5
0
15 Nov 2023
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
177
9,332
0
28 May 2015
1