L. Perrin, Parallelization and assimilation methods. Applications to gravity flows. Ph.D. Thesis (version as of 14.11.24)
L. Sala , P. J. Hossie , B. Laroche, T. Malou , L. Perrin , T. Saigre. Simulating interactions in microbial communities through Physics Informed Neural Networks: towards interaction estimation, (2024) (preprint)
F. Hecht, S.M. Kaber, L. Perrin, A. Plagne, J. Salomon. Parallel approximation of the exponential of hermitian matrices, (2023) (preprint)
Aug 23 : CEMRACS23, end of project presentation (Slides)
June 23: Numhyp23 : conference on Numerical Methods for Hyperbolic Problems (Poster)
June 23: Workshop : Assimilation, Control and Computational Speedup (Slides)
Fev 23 : GTE MAP5, Groupe de Travail des Ephémères : (Slides in french)
June 22 : CANUM 20, national conference of numerical analysis : (Slides)
May-June 22 : EMRSIM 22, conference on Simulation and Optimisation for Marine Renewable Energy : (Slides)
Dec. 21 : A presentation of ParaReal (for the M2 course of Laura Grigori on HPC)
May 2024 : CANUM 24
Oct. 2023 : Coastal Wave Modelling
June 2023 : CEMRACS23 on Scientific Machine Learning
May 2022 : Research School High Dimensional Approximation and Deep Learning
Nov. 2021 : Summer School on advanced DD methods