Inass Sekkat

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Email: inass.sekkat@enpc.fr

I am currently a PhD student working on “Large scale Bayesian inference” under the supervision of Gabriel Stoltz.

I would like to acknowledge financial support from Université Mohammed VI Polytechnique.

 

Publications 

  • Removing the mini-batching error in Bayesian inference using Adaptive Langevin dynamics, arXiv preprint  2105.10347 (2021) pdf.
  • Generative methods for sampling transition paths in molecular dynamics, arXiv preprint arXiv:2205.02818, (2022) pdf.

Scientific Experience

  • October 2021 — November 2021. Worked on minibatching error of Bayesian Neural Networks under the supervision of Ben Leimkuhler as a visiting scholar at  University of Edinburgh,School of Mathematics.
  • August 2021. Summer School – CEMRACS. Generative methods for reactive trajectories in molecular dynamics, supervised by: Tony Lelièvre, Geneviève Robin and Gabriel Stoltz. 
Talks given in conferences and workshops
Posters

Teaching

  • Second year course in analysis at Université Paris-Dauphine, 24h, (tutorials)
  • Project for 1A Ecole des Ponts ParisTech (MCMC methods), 10h.

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