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Collaborations and top research areas from the last five years
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A theoretical perspective on mode collapse in variational inference
Soletskyi, R., Gabrié, M. & Loureiro, B., 30 Jun 2025, In: Machine Learning: Science and Technology. 6, 2, 025056.Research output: Contribution to journal › Article › peer-review
Open Access -
LEARNED REFERENCE-BASED DIFFUSION SAMPLING FOR MULTI-MODAL DISTRIBUTIONS
Noble, M., Grenioux, L., Gabrié, M. & Durmus, A. O., 1 Jan 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 35670-35724 55 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Sampling metastable systems using collective variables and Jarzynski–Crooks paths
Schönle, C., Gabrié, M., Lelièvre, T. & Stoltz, G., 15 Apr 2025, In: Journal of Computational Physics. 527, 113806.Research output: Contribution to journal › Article › peer-review
Open Access -
Active Learning of Boltzmann Samplers and Potential Energies with Quantum Mechanical Accuracy
Molina-Taborda, A., Cossio, P., Lopez-Acevedo, O. & Gabrié, M., 22 Oct 2024, In: Journal of Chemical Theory and Computation. 20, 20, p. 8833-8843 11 p.Research output: Contribution to journal › Article › peer-review
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Coarse-Grained Molecular Dynamics with Normalizing Flows
Tamagnone, S., Laio, A. & Gabrié, M., 1 Jan 2024, (Accepted/In press) In: Journal of Chemical Theory and Computation.Research output: Contribution to journal › Article › peer-review
Open Access -
Stochastic Localization via Iterative Posterior Sampling
Grenioux, L., Noble, M., Gabrié, M. & Durmus, A., 1 Jan 2024, In: Proceedings of Machine Learning Research. 235, p. 16337-16376 40 p.Research output: Contribution to journal › Conference article › peer-review
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Neural Networks: From the Perceptron to Deep Nets
Gabrié, M., Ganguli, S., Lucibello, C. & Zecchina, R., 1 Jan 2023, Spin Glass Theory and Far Beyond: Replica Symmetry Breaking after 40 Years. World Scientific Publishing Co., p. 477-498 22 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
Open Access -
On Sampling with Approximate Transport Maps
Grenioux, L., Durmus, A. O., Moulines, É. & Gabrié, M., 1 Jan 2023, In: Proceedings of Machine Learning Research. 202, p. 11698-11733 36 p.Research output: Contribution to journal › Conference article › peer-review
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Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals
Brofos, J. A., Gabrié, M., Brubaker, M. A. & Lederman, R. R., 1 Jan 2022, In: Proceedings of Machine Learning Research. 151, p. 5949-5986 38 p.Research output: Contribution to journal › Conference article › peer-review
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Adaptive Monte Carlo augmented with normalizing flows
Gabrié, M., Rotskoff, G. M. & Vanden-Eijnden, E., 8 Mar 2022, In: Proceedings of the National Academy of Sciences of the United States of America. 119, 10, e2109420119.Research output: Contribution to journal › Article › peer-review
Open Access