Timothee Devergne on Muck Rack

Timothee Devergne

As seen in: Physical Review B
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Articles

[2410.14477] Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups

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By Karim Lounici, Hélène Halconruy, Timothee Devergne, Pietro Novelli
| arxiv.org
Open access is only possible with YOUR support. Give to arXiv this week to help keep science open for all.
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Efficient machine learning approach for accurate free-energy profiles and kinetic rates

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By Timothee Devergne, Institut de Minéralogie, Atomistic Simulations
| Physical Review B
The computational exploration of reactive processes is challenging due to the requirement of thorough sampling across the free energy landscape using accurate ab initio methods. To address these constraints, machine learning potentials are employed, yet their training for this kind of problem is still a laborious and tedious task.
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[2405.12940] Learning the Infinitesimal Generator of Stochastic Diffusion Processes

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By Karim Lounici, Hélène Halconruy, Massimiliano Pontil, Timothee Devergne
| arxiv.org
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