MS045A Discovering Evolution Equations Using Structure-Preserving Data-Driven Methods I
Main Organizer:
Dr.
Shenglin Huang
(
Nanyang Technological University
, Singapore
)
Chaired by:
Dr. Shenglin Huang (Nanyang Technological University , Singapore) , Prof. Beatriz Moya (ENSAM Paris , France)
Dr. Shenglin Huang (Nanyang Technological University , Singapore) , Prof. Beatriz Moya (ENSAM Paris , France)
Scheduled presentations:
-
Keynote
Deep learning of structure-preserving coarse graining models
-
Strutcure preservation in neural networks and for approximating dynamics
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Coupled Lie-Poisson Neural Networks (CLPNets): Data-Based Computing of Coupled Hamiltonian Systems
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Incorporating geometric biases into machine learning models for dynamical systems
-
Structure-informed model reduction of Maxwell-type systems
