no code implementations • 2 Dec 2020 • Matija Medvidovic, Juan Carrasquilla, Lauren E. Hayward, Bohdan Kulchytskyy
We explore a self-learning Markov chain Monte Carlo method based on the Adversarial Non-linear Independent Components Estimation Monte Carlo, which utilizes generative models and artificial neural networks.
Disordered Systems and Neural Networks Statistical Mechanics Computational Physics
2 code implementations • 7 Feb 2020 • Mohamed Hibat-Allah, Martin Ganahl, Lauren E. Hayward, Roger G. Melko, Juan Carrasquilla
A core technology that has emerged from the artificial intelligence revolution is the recurrent neural network (RNN).
Disordered Systems and Neural Networks Strongly Correlated Electrons Computational Physics Quantum Physics
