• Automatic Hyper-parameter Tuning of Optimization Algorithms via Lyapunov Damping
  • Probability and Statistics Seminar, IMAG, Montpellier, France (2024)
  • Optimization & Statistics Seminar, IMT Toulouse, France (2024)
  • MLSP Seminar, ENS Lyon, France (2024)
• Continuous Newton-like Methods featuring Inertia and Variable Mass
  • ICIAM, Tokyo, Japan (2023)
  • MOP Seminar, Saarbrücken, Germany (2023)
• Second-order Algorithms for Training Neural Networks
  • Conference on Dynamical Systems, Optimization and Deep Learning, Dalat, Vietnam (2023)
  • Optimization & Statistics Seminar, IMB Bordeaux, France (2023)
  • NoMASP Workshop, Vienna, Austria (2022)
  • MLSP Seminar, ENS Lyon, France (2022)
  • Probability and Statistics Seminar, IMAG, Montpellier, France (2022)
  • MOP Seminar, Tübingen, Germany (2023)
  • GIPSA-GAIA Seminar, Grenoble, France (2022)
• An Inertial Newton Algorithm for Deep Learning
  • NeurIPS Workshop “Beyond first-order methods for machine learning”, Vancouver, Canada (2019) [Poster]
  • PGMO Days, Paris, France (2019)
  • EUROPT 2021, Toulouse, France (2021)
  • Doctoral Workshop on Decision Mathematics and Statistics, Toulouse School of Economics, France (2021)
  • 3IA Doctoral National Meeting, Toulouse, France (2021)
  • AOC Seminar, IMT Toulouse, France (2019)
  • National Research Group Meeting on Theory of Deep Learning, CNAM Paris, France (2019)