I am pleased to annonce that our paper "Learning a Neural Solver for Parametric PDE to Enhance Physics-Informed Methods" writen with Emmanuel De Bézenac, Louis Serrano, Ramon Daniel Regueiro-Espino, Yuan Yin and Patrick Gallinari has been accepted to the ICLR 2025 conference!
Had a great time in Saclay for the GenAI Automn School. We had great talks about generative AI and big models, illustrated with labs!
Check our last preprint paper on ArXiv "Learning a Neural Solver for Parametric PDE to Enhance Physics-Informed Methods".
Thanks for this amazingly interesting summer school! Presenter were passioned about their topics, and I feel even more interested in using AI for climate in the future. We learned a lot about application of ML and AI for climate purposes in many fields such as: agriculture, cities, forestry, wildlife, energy... And many others!
I am pleased to annonce that our paper "Learning iterative algorithms to solve PDEs" writen with Emmanuel De Bézenac, Louis Serrano, Yuan Yin and Patrick Gallinari has been accepted to the AI4DiffEq Workshop at ICLR 2024!
I am pleased to annonce that our paper "Operator learning with neural fields: Tackling PDEs on general geometries." writen with Louis Serrano, Lise Le Boudec, Armand Kassaï Koupaï, Thomas X Wang, Yuan Yin, Jean-Noël Vittaut and Patrick Gallinari has been accepted to the AI4DiffEq Workshop at ICLR 2024!
Great time at ESSAI & ACAI Summer School 2023 in Ljubljana! Thanks for the interesting talks and conferences. It was a great opportunity to meet new people and learn about AI for Science in several domain!
