- 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**