Program

[Geo-Sci-Info]

Program

See attached Poster, Scientific Program and Poster Program.

8 Lectures (90 min)

• Langevin Dynamics: Old and News (x 2) – Eric Moulines

• Computational Information Geometry
  On statistical distances and information geometry for ML – Frank Nielsen
  Information Manifold modeled with Orlicz Spaces – Giovanni Pistone

• Non-Equilibrium Thermodynamic Geometry
  A variational perspective of closed and open systems - François Gay-Balmaz
  A Homogeneous Symplectic Approach - Arjan van der Schaft

• Geometric Mechanics
  Gallilean Mechanics & Thermodynamics of Continua - Géry de Saxcé
  Souriau-Casimir Lie Groups Thermodynamics & Machine Learning – Frédéric Barbaresco

17 Keynotes (60 min)

• Learning with Few Labeled Data - Pratik Chaudhari
• Sampling and statistical physics via symmetry - Steve Huntsman
• The Bracket Geometry of Measure-Preserving Flows and Diffusions - Alessandro Barp
• Exponential Family by Representation Theory - Koichi Tojo
• Learning Physics from Data - Francisco Chinesta
• Information Geometry and Integrable Hamiltonian - Jean-Pierre Françoise
• Information Geometry and Quantum Fields - Kevin Grosvenor
• Thermodynamic efficiency implies predictive inference- Susanne Still
• Diffeological Fisher Metric - Hông Vân Lê
• Deep Learning as Optimal Control - Elena Celledoni
• Schroedinger's problem, Hamilton-Jacobi-Bellman equations and regularized Mass Transportation - Jean-Claude Zambrini
• Mechanics of the probability simplex - Luigi Malagò
• Dirac structures in nonequilibrium thermodynamics - Hiroaki Yoshimura
• Port Thermodynamic Systems Control - Bernhard Maschke
• Covariant Momentum Map Thermodynamics - Goffredo Chirco
• Contact geometry and thermodynamical systems - Manuel de León
• Computational dynamics of multibody-fluid system in Lie group setting- Zdravko Terze

Program Schedule

Mornings will be dedicated to 3 hours courses. Afternoons will be dedicated to long keynotes.

Poster session will be organized Wednesday morning.