Morlier, Joseph

1. Towards scalable surrogate models based on Neural Fields for large scale aerodynamic simulations
   2025/05/14 by Catalani, Giovanni, Fesquet, Jean, Bertrand, Xavier +3 · 2 citations
   #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG)
2. Bayesian Optimization of a Lightweight and Accurate Neural Network for Aerodynamic Performance Prediction
   2025/03/25 by James M. Shihua, Paul Saves, Shihua, James M. +5 · 2 citations
   Engineering · Environmental Science · Physics and Astronomy · #Aerospace and Aviation Technology #Air Quality Monitoring and Forecasting #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Optimization and Control (math.OC)
3. Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations
   2025/04/24 by Catalani, Giovanni, Bauerheim, Michael, Tost, Frédéric +2 · 1 citation
   #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)