PDE-AI is a PEPR project funded by the ANR, which gathers ten major French institutions involved in developing the mathematical analysis of AI, the study of optimization in machine learning, as well as in developing machine learning for numerical analysis and scientific computing. The institutions are Univ. Paris-Dauphine (PSL), Univ. Paris-Cité, Sorbonne Univ., Univ. Paris-Saclay, Univ. Toulouse, Univ. Lyon (CNRS), Univ. Bordeaux, Univ. Côte d’Azur, CREST (ENSAE/Institut Polytechnique de Paris) and Univ. Strasbourg. The project started in September 2023 and will last until 31 August 2027. The project is supported by the “France 2030” programme.

Events

Organized by or with support from PDE-AI

 Posted on January 1, 1  |  NP

As recommended by the CNRS scientific council, PDE-AI promotes respect for gender parity (currently 20 to 25% women in our communities) on scientific committees, organizing committees and in the lists of plenary speakers for the conferences it supports. The ecological footprint of conferences is also a point of attention.

When applying to PDE-AI for support and sponsorship, we advise you to integrate these elements at the very beginning of the creation of programs and committees for your scientific events.

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Job offers

Current and past offers

 Posted on January 1, 1  |  NP

Current offers:

PhD Position on optimization: aspects of neural differential equations, in Paris-Dauphine PSL starting September/October 2024

A three-year PhD position is available starting Sept/October 2024 under the supervision of Antonin Chambolle and Clément Royer. Applicants should hold a Masters degree with a strong component in applied mathematics, including optimization and partial differential equations. A full description of the PhD topic is available here.

Interested should send a CV along with contact information for two references to Clément Royer.

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Local Events

Organized by teams of the PDE-AI network

 Posted on January 1, 1  |  NP

This page lists the local events organized internally by each group of the PDE-AI network (working groups, seminars)

Events to come

Previous events

  • Séminaire McTAO (Sophia) : Alexis Montoison (GERAD) - 13 mars 2024. Enhancing nonlinear optimization through GPU computing (see here)
  • Séminaire McTAO (Sophia) : Alessandro Scagliotti (Technical University of Munich) – 21 novembre 2024. Optimal control of ODEs with dynamics uncertainty (see here)
  • Séminaire McTAO (Sophia) : Alexis Montoison (Argonne National Lab.) - 8 janvier 2025. Sparse automatic differentiation (see here)

Members 2023 - 2027

 Posted on January 1, 1  |  NP

Direction and consortium

Members

  • Université Paris-Dauphine PSL
    • Antonin Chambolle, CNRS
    • Pierre Cardaliaguet, Prof. Dauphine
    • Thomas Gallouët, CR INRIA (Mokaplan)
    • Idriss Mazari, MC. Dauphine
    • Zhenjie Ren (任振杰), MC. Dauphine
    • Clément Royer, MC. Dauphine
    • Irène Waldspurger, CNRS
  • LIRIS, CNRS et Université de Lyon
    • Julie Digne, CR CNRS LIRIS
    • Nicolas Bonneel, CR CNRS LIRIS
    • Élie Bretin, MC, Institut Camille Jordan (ICJ)
    • Raphaëlle Chaine, Prof. LIRIS
    • Simon Masnou, Prof. ICJ
  • Institut de Mathématiques de Bordeaux
    • Jean-François Aujol, Prof.
    • Jérémie Bigot, Prof.
    • Bernard Bercu, Prof.
    • Arthur Leclaire, MC
    • Nicolas Papadakis DR CNRS
  • Université Paris-Cité
    • Julie Delon, Prof MAP5
    • Andrés Almansa, DR CNRS MAP5,
    • Joan Glaunés, MC MAP5,
    • Agnès Desolneux, DR CNRS Centre Borelli, ENS Paris-Saclay,
    • Nathaël Gozlan, Prof. MAP5,
    • Marcela Szopos, Prof. MAP5,
    • Jonathan Vacher, MC MAP5
  • Sorbonne Université, LJLL
    • Bruno Després, Prof
    • Albert Cohen, Prof
    • Frédéric Nataf, DR CNRS
    • Katharina Schratz, Prof
  • Université Paris-Saclay
    • Quentin Mérigot, Prof.
    • Anna Kazeykina, MC
    • Blanche Buet, MC
    • Luca Nenna MC
    • Hugo Leclerc, IR CNRS
  • Université de Toulouse
    • Elsa Cazelles, CR CNRS IRIT
    • Edouard Pauwels, Prof. TSE
    • Jérôme Bolte, Prof. TSE
    • Alice Le Brigant, MC SAMM Université Paris 1
    • Thierry Klein, Prof. IMT, ENAC
  • Université Nice-Côte d’Azur / INRIA
    • Jean-Baptiste Caillau, Prof Laboratoire J.A. Dieudonné (LJAD)
    • Thibaud Kloczko, IR SED
    • Ludovic Rifford, Prof LJAD
    • Samuel Vaiter, CR LJAD
  • CREST/ENSAE (Institut Polytechnique de Paris)
    • Anna Korba, Ass. Prof.
    • Arnak Dalalyan, Prof.
  • Université de Strasbourg
    • Yannick Privat, Prof (U. Nancy)
    • Emmanuel Franck, CR INRIA
    • Joubine Aghili, MC Institut de recherche mathématique (IRMA)
    • Clémentine Courtès, MC IRMA
    • Philippe Helluy, Prof. IRMA
    • Victor Michel-Dansac, ISFP INRIA
    • Laurent Navoret, MC IRMA
    • Christophe Prud’homme, Prof. IRMA
    • Vincent Vigon, MC IRMA

PhD and postdocs

  • Institut de Mathématiques de Bordeaux
    • Julien Hermant, started 15th October 2023, co-advised by Jean-François Aujol, Charles Dossal, Aude Rondepierre. “Non-convex optimization.”
    • Erell Gachon, started 1st November 2023, co-advised by Jérémie Bigot and Elsa Cazelles. “Applications statistiques du transport optimal pour l’analyse de données de cytométrie en flux et application à l’évaluation de la maladie résiduelle dans les leucémies aiguës.”
  • Institut de Recherche en Informatique de Toulouse
    • Léo Portales, started 1st December 2023, co-advised by Elsa Cazelles and Édouard Pauwels. “Density approximation using Lloyd’s algorithm.”

Publications

 Posted on January 1, 1  |  NP

(Toutes les publications doivent être déposées sur HAL avec licence CCBY)