- 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