joint structures and common foundation of statistical ......geometric mechanics gallilean mechanics...
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![Page 1: Joint Structures and Common Foundation of Statistical ......Geometric Mechanics Gallilean Mechanics & Thermodynamics of Continua - Géry de Saxcé Souriau-Casimir Lie Groups Thermodynamics](https://reader033.vdocuments.net/reader033/viewer/2022042521/5f5c2e79c543c75c58543484/html5/thumbnails/1.jpg)
Joint Structures and Common Foundation of Statistical Physics, Information Geometry and Inference for Learning
26th July to 31st July 2020Registration, Poster Submission: https://franknielsen.github.io/SPIG-LesHouches2020/
8 Lectures (90 min)Langevin Dynamics: Old and News (x 2) – Eric Moulines Computational Information GeometryDivergence based Machine Learning – Frank NielsenNon-Parametric and Orlicz Spaces – Giovanni PistoneNon-Equilibrium Thermodynamic GeometryEvolution Equations for Open Systems - François Gay-BalmazAn Homogeneous Symplectic Approach - Arjan van der SchaftGeometric MechanicsGallilean Mechanics & Thermodynamics of Continua - Géry de SaxcéSouriau-Casimir Lie Groups Thermodynamics & Machine Learning – F. Barbaresco
15 Keynotes (60 min)SGD & Variational Inference - Pratik ChaudhariFast MCMC via Lie Group - Steve HuntsmanHMC on Symmetric/Homogeneous Spaces - Alessandro BarpExponential Familly by Representation Theory - Koichi TojoLearning Physics from Data - Francisco ChinestaInformation Geometry & Integrable Hamiltonian - Jean-Pierre FrançoiseInformation Geometry & Quantum Field - Ro JeffersonPhysical Limits to Information Processing - Susanne StillDiffeological Fisher Metric - Hông Vân LêDeep Learning as Optimal Control - Elena CelledoniDirac structures in Thermodynamics - Hiroaki YoshimuraPort Thermodynamic Systems Control - Bernhard MaschkeCovariant Momentum Map Thermodynamics - Goffredo ChircoContact Hamiltonian Systems - Manuel de LeónMultibody-Fluid System Dynamics in Lie group - Zdravko Terze
SPIGL’20