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Corneel Casert

Showing results (1-10 of 7) with videos related to

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The Journal of Chemical Physics|December 16, 2024
Using the Metropolis algorithm to explore the loss surface of a recurrent neural networkCorneel Casert, Stephen Whitelam
Nature Communications|January 10, 2026
Nonlinear thermodynamic computing out of equilibriumStephen Whitelam, Corneel Casert
Nature Communications|October 23, 2024
Learning protocols for the fast and efficient control of active matterCorneel Casert, Stephen Whitelam
Nature Communications|July 30, 2022
Robust prediction of force chains in jammed solids using graph neural networksRituparno Mandal, Corneel Casert, Peter Sollich
Nature Communications|February 29, 2024
Learning stochastic dynamics and predicting emergent behavior using transformersCorneel Casert, Isaac Tamblyn, Stephen Whitelam
Physical Review Letters|October 1, 2021
Dynamical Large Deviations of Two-Dimensional Kinetically Constrained Models Using a Neural-Network State AnsatzCorneel Casert, Tom Vieijra, Stephen Whitelam, et al.
Physical Review Letters|March 24, 2020
Restricted Boltzmann Machines for Quantum States with Non-Abelian or Anyonic SymmetriesTom Vieijra, Corneel Casert, Jannes Nys, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
The Journal of Chemical Physics|December 16, 2024
Using the Metropolis algorithm to explore the loss surface of a recurrent neural networkCorneel Casert, Stephen Whitelam
Nature Communications|January 10, 2026
Nonlinear thermodynamic computing out of equilibriumStephen Whitelam, Corneel Casert
Nature Communications|October 23, 2024
Learning protocols for the fast and efficient control of active matterCorneel Casert, Stephen Whitelam
Nature Communications|July 30, 2022
Robust prediction of force chains in jammed solids using graph neural networksRituparno Mandal, Corneel Casert, Peter Sollich
Nature Communications|February 29, 2024
Learning stochastic dynamics and predicting emergent behavior using transformersCorneel Casert, Isaac Tamblyn, Stephen Whitelam
Physical Review Letters|October 1, 2021
Dynamical Large Deviations of Two-Dimensional Kinetically Constrained Models Using a Neural-Network State AnsatzCorneel Casert, Tom Vieijra, Stephen Whitelam, et al.
Physical Review Letters|March 24, 2020
Restricted Boltzmann Machines for Quantum States with Non-Abelian or Anyonic SymmetriesTom Vieijra, Corneel Casert, Jannes Nys, et al.
Pageof 1