Hackathon

Final Hackathon group picture!

Rough schedule (initial and final presentations)

The Hackathon will start on Monday July 24 with a presentation of each project. The supervisors and/or project members will present their respective projects between 9am and 12:15pm.

Conversely, the results of each project will be presented during the last week of the Hackathon (August 21-25), by the project members: see the schedule here

When available, you can find the slides of the final presentations in the list below.

Tentative list of available projects

• Project coordinator: Konstantin Brenner, Université Côte d'Azur, Nice
  Topic: Learning local Dirichlet-to-Neumann maps for multi-scale urban flood modeling
  More information: project synopsis (pdf)
  
  
• Project coordinators: Vincent Chabridon, EDF R&D, Chatou; Nicolas Brunel, Quantmetry, Paris
  Topic: Conformal prediction for data-driven and physics-based prognostics algorithms
  More information: project synopsis (pdf)
  
  
• Project coordinator: Virginie Ehrlacher, École des Ponts ParisTech
  Topic: Scientific machine learning and tensor methods for electronic structure computations in quantum chemistry
  More information: project synopsis (pdf)
  
  
• Project coordinator: Thibault Faney, IFP Energies Nouvelles, Rueil-Malmaison
  Topic: Fourier Neural Operators for Incompressible Two-Phase Flow simulation
  More information: project synopsis (pdf)
  
  
• Project coordinator: Emmanuel Franck, Inria and Strasbourg University
  Topic: Physics-Informed Neural Network to reduce data storage of gyrokinetic plasma turbulence simulations
  More information: project synopsis (pdf)
  
  
• Project coordinator: Michael Kraus, Max-Planck-Institut für Plasmaphysik, Garching bei München
  Topic: Structure-Preserving Numerical Integration of Dynamical Systems using Transformer Neural Networks
  More information: project synopsis (pdf) slides of the final presentation
  
  
• Project coordinator: Victor Michel-Dansac, Inria and Strasbourg University
  Topic: Interpretable data-driven finite volume numerical flux for conservation laws
  More information: project synopsis (pdf) slides of the final presentation
  
  
• Project coordinator: Olga Mula, Eindhoven University of Technology
  Topic: Data assimilation methods with Neural Galerkin schemes
  More information: project synopsis (pdf)
  
  
• Project coordinator: Paul Novello, IRT Saint-Exupéry, Toulouse
  Topic: 1-Lipschitz neural networks for error control in function approximation
  More information: project synopsis (pdf)
  
  
• Project coordinator: Lorenzo Sala, INRAE, Saclay
  Topic: Estimation of interactions in microbial communities via a neural network-based generalized smoothing algorithm
  More information: project synopsis (pdf) slides of the final presentation
  
  
• Project coordinator: Tor Harald Sandve, NORCE, Bergen
  Topic: Embedded machine learning models for the near well region within a conventional physics- based reservoir simulator
  More information: project synopsis (pdf)
  
  
• Project coordinator: Nicolas Trafny, Naval Group, Marseille
  Topic: Multidimensional integration using machine learning and Monte Carlo methods for acoustic predictions
  More information: project synopsis (pdf)