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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) MS13A Chair: Emmanuel Franck CoChair: Laurent Navoret |
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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 |
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