Dynamical large deviations of two-dimensional kinetically constrained models using a neural-network state ansatz. - Corneel Casert; Tom Vieijra; Stephen Whitelam; Isaac Tamblyn (CoRR, 2020)

Learning stochastic dynamics and predicting emergent behavior using transformers. - Corneel Casert; Isaac Tamblyn; Stephen Whitelam (CoRR, 2022)

Data for Robust Prediction of Force Chains in Jammed Solids using Graph Neural Networks. - Rituparno Mandal; Corneel Casert; Peter Sollich (GRO.data, 2022)

Training neural networks using Metropolis Monte Carlo and an adaptive variant. - Stephen Whitelam; Viktor Selin; Ian Benlolo; Corneel Casert; Isaac Tamblyn (Mach. Learn. Sci. Technol., 2022)

Adaptive AI-Driven Material Synthesis: Towards Autonomous 2D Materials Growth. - Leonardo Sabattini; Annalisa Coriolano; Corneel Casert; Stiven Forti; Edward S. Barnard; Fabio Beltram; Massimiliano Pontil; Stephen Whitelam; Camilla Coletti; Antonio Rossi (CoRR, 2024)

Thermodynamic computing out of equilibrium. - Stephen Whitelam; Corneel Casert (CoRR, 2024)