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Marylou Gabrié

Showing results (1-10 of 5) with videos related to

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Journal of Chemical Theory and Computation|September 3, 2024
Coarse-Grained Molecular Dynamics with Normalizing FlowsSamuel Tamagnone, Alessandro Laio, Marylou Gabrié
Proceedings of the National Academy of Sciences of the United States of America|March 2, 2022
Adaptive Monte Carlo augmented with normalizing flowsMarylou Gabrié, Grant M Rotskoff, Eric Vanden-Eijnden
The Journal of Chemical Physics|April 16, 2026
Efficient Monte Carlo sampling of metastable systems using nonlocal collective variable updatesChristoph Schönle, Davide Carbone, Marylou Gabrié, et al.
Journal of Chemical Theory and Computation|October 7, 2024
Active Learning of Boltzmann Samplers and Potential Energies with Quantum Mechanical AccuracyAna Molina-Taborda, Pilar Cossio, Olga Lopez-Acevedo, et al.
Proceedings of Machine Learning Research|February 15, 2023
Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow ProposalsJames A Brofos, Marylou Gabrié, Marcus A Brubaker, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Journal of Chemical Theory and Computation|September 3, 2024
Coarse-Grained Molecular Dynamics with Normalizing FlowsSamuel Tamagnone, Alessandro Laio, Marylou Gabrié
Proceedings of the National Academy of Sciences of the United States of America|March 2, 2022
Adaptive Monte Carlo augmented with normalizing flowsMarylou Gabrié, Grant M Rotskoff, Eric Vanden-Eijnden
The Journal of Chemical Physics|April 16, 2026
Efficient Monte Carlo sampling of metastable systems using nonlocal collective variable updatesChristoph Schönle, Davide Carbone, Marylou Gabrié, et al.
Journal of Chemical Theory and Computation|October 7, 2024
Active Learning of Boltzmann Samplers and Potential Energies with Quantum Mechanical AccuracyAna Molina-Taborda, Pilar Cossio, Olga Lopez-Acevedo, et al.
Proceedings of Machine Learning Research|February 15, 2023
Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow ProposalsJames A Brofos, Marylou Gabrié, Marcus A Brubaker, et al.
Pageof 1