NextGen Synergy: Control Theory and Machine Learning

Session

SESSION VII

Apr 28, 2026, 4:10 PM

66. Learning with Structure: How Systems and Control Theory Shapes Machine Learning for Dynamical Systems

Kathrin Flasskamp (Saarland University)

4/28/26, 4:10 PM

Invited Talk

Machine learning has emerged as a powerful tool for modeling and controlling complex dynamical systems, yet many approaches overlook structural properties with a long-standing history in systems and control theory. This plenary highlights how symmetry, invariants, Hamiltonian structure, and optimality conditions can be embedded into learning architectures for dynamical systems and optimal...

38. LDNets: Latent Dynamics Networks, an architecture to learn and predict time variant fields

4/28/26, 5:10 PM

Hybrid and Data-driven Modelling

Accept as Oral presentation non-COST