9/6/22    11:00 - 13:00
Deep learning for Hamitonian problemS and variational analysis  
Minisymposium organized by Emmanuel Franck, Laurent Navoret and Yannick Privat
Room: Vestfold (1F)
Chair: Emmanuel Franck
CoChair: Laurent Navoret
Learning an optimal feedback operator semiglobally stabilizing semilinear parabolic equations
Sergio S. Rodrigues

Structure-Preserving Neural Networks for the N-body Problem
Philipp Horn, Barry Koren and Simon Portegies Zwart

Data driven reduced modelling of the Vlasov-Poisson equation
Guillaume Steimer, Emmanuel Franck, Laurent Navoret, Nicolas Crouseilles and Vincent Vigon

A Tensor Gradient Cross for Hamilton-Jacobi-Bellman equations
Sergey Dolgov, Dante Kalise and Luca Saluzzi

Towards model reduction of individual-based models in epidemiology: when reinforcement learning meets control theory.
Clémentine Courtès, Emmanuel Franck, Killian Lutz, Laurent Navoret and Yannick Privat

Structure-preserving Scientific Machine Learning
Michael Kraus