Structured Machine Learning and Time–Stepping for Dynamical Systems, 20 February 2024 - Banff, Canada, “Improving the robustness of Graph
Neural Networks with coupled dynamical systems”, SLIDES Workshop 20 December 2023 - University of Verona, “Contractive Systems Inspired GNNs”, SLIDES TES Conference on Mathematical Optimization for Machine Learning, Berlin, “Predictions Based on Pixel Data”, SLIDES ICIAM 2023, Tokyo, Japan, “Structured neural networks and some applications”, SLIDES ECMI Conference 2023, Wroklav, Poland, “Learning Hamiltonians of constrained mechanical systems”, SLIDES FoCM 2023, Paris, 12-06-2023, “Structured neural networks and some applications to dynamical systems”, SLIDES The mathematical and statistical foundation of future data-driven engineering, Newton-Institute Cambridge, 30-05-2023, SLIDES CIA Seminar, Cambridge, 24-03-2023, “From neural networks to dynamical systems and back”, SLIDES SIAM CS23, Amsterdam, Theoretical and Computational aspects of Dynamical Systems (HB60), Trysil, Norway, 13-12-2022, “Dynamical systems’ based neural networks”, SLIDES The Symbiosis of Deep Learning and Differential Equations (DLDE) - II, NeurIPS Workshop, 09-12-2022, POSTER SciCADE, Reykjavík, 28-07-2022, “Structure preserving neural networks coming from ODE models”, SLIDES One day – Young Researchers Seminars, Maths Applications & Models,“Learning Hamiltonians of constrained mechanical systems”, 08-07-2022 SLIDES DNA Seminar NTNU, “Neural networks modelled by dynamical systems”, 20-06-2022 SLIDES Math Meets Industry, Trondheim, 02-06-2022, “Structured neural networks motivated by dynamical systems”, SLIDES Machine Learning and Dynamical Systems Seminar, Turing Institute, 05-05-2022, “Learnings Hamiltonians of constrained mechanical systems”, SLIDES Veronesi Tutti Math Seminar, 06-04-2022, “Some connections between dynamical systems and neural networks”, SLIDES MAGIC 2022, “Robustness of neural networks for classification problems”, SLIDES Workshop “Computational Mathematics and Machine Learning”, “Learning the Hamiltonian of some constrained mechanical systems”: SLIDES NUMDIFF-16, “Learning the Hamiltonian of some classes of mechanical systems”: SLIDES DNA Seminar NTNU, “Lie group integrator’s approach to the N-fold pendulum”: SLIDES MAGIC 2021, “Lie group integrator’s approach to the N-fold pendulum”: SLIDES