Talk @ mini-symposium @ SMAI2019, Guidel, May 13 2019
Mini-symposium: s’affranchir du maillage : résoudre les EDP par le deep learning
Talk @ Lab-STICC seminar of the TOMS team, April 8th 2019
Compressive Statistical Learning
Talk @ Séminaire Signal & Apprentissage, I2M, Marseille, January 10th 2019
http://www.i2m.univ-amu.fr/Seminaire-Signal-et-Apprentissage
on Approximation with sparsely connected deep networks
Videos and slides from the Conference on Deep Learning: from Theory to Applications
The videos of most talks of the conference are now available at https://www.lebesgue.fr/video-subcollection/494, as well as slides from clickable titles of the program (https://www.lebesgue.fr/content/sem2018-deeplearning-program).
Talk #brainhackorg IRISA, April 25th 2018 “Reproducible research — is it worth the effort, and how to ease it? “
https://videos-rennes.inria.fr/video/ryewCPuCG”>https://videos-rennes.inria.fr/video/ryewCPuCG
https://brainhack.irisa.fr/
D’APB à Parcoursup : quelles méthodes d’affectation post-bac ?
Un article sur Interstices.info a propos d’APB et Parcoursup, dispositifs d’affectation post-bac. Plus qu’une analyse de spécialiste, une tentative de démêler ce qui relève de la technique de ce qui est d’ordre sans doute plus politique.
https://interstices.info/jcms/p_95984/d-apb-a-parcoursup-quelles-methodes-d-affectation-post-bac
Conference on Deep Learning: from Theory to Applications – Centre Henri Lebesgue – Rennes – September 4-6 2018
Keynote speakers:
- Matthieu Cord (Université Pierre et Marie Curie)
- Gitta Kutyniok (Technische Universität Berlin)
- Stéphane Mallat (ENS Paris, Collège de France)
- François Pachet (Spotify)
- Cordelia Schmid (INRIA Rhône-Alpes)
- Pierre Vandergheynst (École Polytechnique Fédérale de Lausane)
Details at https://www.lebesgue.fr/content/sem2018-deeplearning