Program
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Program
See attached Poster, Scientific Program and Poster Program.
8 Lectures (90 min)
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Langevin Dynamics: Old and News (x 2) – Eric Moulines
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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.
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