SPIGL

Publications

volume 361, 2021

Geometric Structures of Statistical Physics, Information Geometry, and Learning - SPIGL'20, Les Houches, France, July 27-31 SPIGL 361 (2021)

2020

Kevin T. Grosvenor
Information Geometry and Quantum Fields. SPIGL (2020)
Jean-Pierre Françoise
Information Geometry and Integrable Hamiltonian Systems. SPIGL (2020)
Koichi Tojo, Taro Yoshino
An Exponential Family on the Upper Half Plane and Its Conjugate Prior. SPIGL (2020)
Giovanni Pistone
A Lecture About the Use of Orlicz Spaces in Information Geometry. SPIGL (2020)
Géry de Saxcé, Charles-Michel Marle
Structure des Systèmes Dynamiques Jean-Marie Souriau's Book 50th Birthday. SPIGL (2020)
Anis Fradi, Ines Adouani, Chafik Samir
Bayesian Inference on Local Distributions of Functions and Multidimensional Curves with Spherical HMC Sampling. SPIGL (2020)
Francisco Chinesta, Elías Cueto, Miroslav Grmela, Beatriz Moya, Michal Pavelka, Martin Sípka
Learning Physics from Data: A Thermodynamic Interpretation. SPIGL (2020)
Zdravko Terze, Viktor Pandza, Marijan Andric, Dario Zlatar
Computational Dynamics of Reduced Coupled Multibody-Fluid System in Lie Group Setting. SPIGL (2020)
Frédéric Barbaresco
Jean-Marie Souriau's Symplectic Model of Statistical Physics: Seminal Papers on Lie Groups Thermodynamics - Quod Erat Demonstrandum. SPIGL (2020)
Frank Nielsen, Gaëtan Hadjeres
Quasiconvex Jensen Divergences and Quasiconvex Bregman Divergences. SPIGL (2020)
Emmanuel Chevallier, Nicolas Guigui
Wrapped Statistical Models on Manifolds: Motivations, The Case SE(n), and Generalization to Symmetric Spaces. SPIGL (2020)
Filippo Masi, Ioannis Stefanou, Paolo Vannucci, Victor Maffi-Berthier
Material Modeling via Thermodynamics-Based Artificial Neural Networks. SPIGL (2020)
Alexandre Anahory Simoes, David Martín de Diego, Manuel Lainz Valcázar, Manuel de León
The Geometry of Some Thermodynamic Systems. SPIGL (2020)
Thomas Gerald, Hadi Zaatiti, Hatem Hajri
A Practical Hands-on for Learning Graph Data Communities on Manifolds. SPIGL (2020)
Frédéric Barbaresco
Souriau-Casimir Lie Groups Thermodynamics and Machine Learning. SPIGL (2020)
Alessandro Barp
Geometric Integration of Measure-Preserving Flows for Sampling. SPIGL (2020)
Michel Nguiffo Boyom
Relevant Differential Topology in Statistical Manifolds. SPIGL (2020)
Géry de Saxcé
Galilean Thermodynamics of Continua. SPIGL (2020)
Hông Vân Lê, Alexey A. Tuzhilin
Nonparametric Estimations and the Diffeological Fisher Metric. SPIGL (2020)
Steve Huntsman
Sampling and Statistical Physics via Symmetry. SPIGL (2020)
Hiroaki Yoshimura, François Gay-Balmaz
Dirac Structures and Variational Formulation of Thermodynamics for Open Systems. SPIGL (2020)