Following the successful first edition in 2021, starting as an echo of the IA2 Program at IRT SystemX, and second edition in 2022, the third workshop, co-organized by IRT SystemX and IFPEN, and promoted by Systematic and DATAIA Institute, will feature two international keynote presentations, and will allow researchers to present their most recent works.

Program

8:30am – 9:00am | Welcome coffee
9:00am – 9:10am | Opening words: Yves Balkanski, Director, Institut Pascal
9:10am – 9:30am | Opening session: Marc Schoenauer, Scientific Coordinator, IA2 program – IRT SystemX, Research Director Inria Saclay – Ile-de-France

9:30am – 10:30am | Keynote: Nils Thuery, Technical University of Munich (TUM)
Probabilistics Simulations: Diffusion Models & Differentiable Solvers

10:30am – 11:00am | Coffee break and posters
11:00am – 12:00am | Contributed talks (Session 1)

  • 11:00am – 11:25am: Fouad Oubari, Raphael Meunier, Rodrigue Décatoire, Mathilde Mougeot (ENS-Paris Saclay, Michelin) – A Meta-Generation framework for Industrial System Generation
  • 11:25am – 11:50am: Hugo Gabrielidis, Filippo Gatti, Stéphane Vialle (LMPS, LISN) – Conditional and Unconditonal Generation of Seismic Signals using Diffusion Model .
  • 11:50am -12:15am: Francois Courteille (NVIDIA) – Speeding HPC simulation with AI : An Introduction to Physics-informed Machine Learning with NVIDIA Modulus

12:00am – 1:45pm | Lunch break and posters
1:45pm – 3:25pm | Contributed talks (Session 2)

  • 1:45pm – 2:10pm: Victor Michel-Dansac, Laurent Navoret, Emmanuel Franck (TONUS-Inria Nancy, IRMA) – Approximately well-balanced Discontinuous Galerkin methods using bases enriched with Physics-Informed Neural Networks
  • 2:10pm – 2:35pm: John Hanna, José V. Aguado, Sebastien Comas-Cardona, Yves Le Guennec (Ecole Centrale de Nantes, IRT Jules Vernes) – A self-supervised learning framework to identify the permeability field from images based on physics-informed and convolutional neural networks
  • 2:35pm – 3:00pm: Matthieu Nastorg, Marc Schoenauer, Guillaume Charpiat, Thibault Faney, Jean-Marc Gratien, Michele Alessandro Bucci (Inria, IFPEN, Safran Tech) – GNN-based Schwarz Preconditioner for Large Scale Problem Solving
  • 3:00pm – 3:25pm: Paul Mcginn, Chaouki Habchi, Julien Bohbot, Thibault Faney, Bruno Delhom, Jean-Charles De Hemptinne (IFPEN) – Deep Learning Acceleration of Flash Algorithms to Simulate Multicomponent Multiphase Systems.

3:25pm – 3:55pm | Coffee break and posters
3:55pm – 5:10pm | Contributed talks (Session 3)

  • 3:55pm – 4:20pm: Tarun Singh, Laurent Cordier, Ronan Fablet (PPRIME, Lab-STICC) – Sample efficient fluid flow control using neuroevolution guided deep reinforcement learning
  • 4:20pm – 4:45pm: Fanny Lehmann, Filippo Gatti, Michaël Bertin, Didier Clouteau (CEA-DAM, LMPS) – Solving source- and parameter-dependent PDEs with a multi-input Fourier Neural Operator
  • 4:45pm – 5:10pm: Joel Soffo (Airbus, Centrale Nantes) – Learning operators via Deep Learning models.

5:10pm – 5:20pm | Conclusion : Paul Labrogère, CEO, IRT SystemX

5:20pm | Closing cocktail