Search Results for author: Corneel Casert

Found 3 papers, 2 papers with code

Training neural networks using Metropolis Monte Carlo and an adaptive variant

1 code implementation16 May 2022 Stephen Whitelam, Viktor Selin, Ian Benlolo, Corneel Casert, Isaac Tamblyn

We examine the zero-temperature Metropolis Monte Carlo algorithm as a tool for training a neural network by minimizing a loss function.

Learning stochastic dynamics and predicting emergent behavior using transformers

1 code implementation17 Feb 2022 Corneel Casert, Isaac Tamblyn, Stephen Whitelam

We show that a neural network originally designed for language processing can learn the dynamical rules of a stochastic system by observation of a single dynamical trajectory of the system, and can accurately predict its emergent behavior under conditions not observed during training.

Dynamical large deviations of two-dimensional kinetically constrained models using a neural-network state ansatz

no code implementations17 Nov 2020 Corneel Casert, Tom Vieijra, Stephen Whitelam, Isaac Tamblyn

We use a neural network ansatz originally designed for the variational optimization of quantum systems to study dynamical large deviations in classical ones.

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