Fixed link


A.Djafari & F. Barbaresco

posted on 26 February 2015

reviewed by F. Barbaresco

MaxEnt 2014 strives to present Bayesian inference and Maximum Entropy methods in data analysis, information processing and inverse problems from a broad range of diverse disciplines: Astronomy and Astrophysics, Geophysics, Medical Imaging, Molecular Imaging and genomics, Non Destructive Evaluation, Particle and Quantum Physics, Physical and Chemical  Measurement Techniques, Economics and Econometrics.

MaxEnt'14 special interest was Geometrical Sciences of Information / Information Geometry and their link with classical subjects of MaxEnt workshops which are Entropy, Maximum Entropy and Bayesian inference in sciences and engineering.

MaxEnt 2014 proceedings is covering topics and highlights in the domain of “Geometric Science of Information” including Information Geometry Manifolds of structured data/information and their advanced applications. These topics addresses inter-relations between different mathematical domains like shape spaces (geometric statistics on manifolds and Lie groups, deformations in shape space,…), probability/optimization & algorithms on manifolds (structured matrix manifold, structured data/Information, …), relational and discrete metric spaces (graph metrics, distance geometry, relational analysis,…), computational and hessian information geometry, algebraic/infinite dimensionnal/Banach information manifolds, divergence geometry, tensor-valued morphology, optimal transport theory, manifold & topology learning, ….

This Proceedings includes Tutorials:

and invited speakers papers:

  • On the Structure of Entropy” by Prof. Mikhail GROMOV (Abel Prize, IHES, Bures-sur-Yvette, France)
  • Topological forms of information” by Prof. Daniel BENNEQUIN (member of  l'Institut Mathématique de Jussieu, Denis Diderot University, Paris, France)
  • The entropy-based quantum metric” by Prof. Roger BALIAN (Member of French Academy of Sciences, Scientific Consultant of CEA, France)
  • Duhem’s abstract thermodynamics” by Prof. Stefano BORDONI (associate professor of logic, philosophy and history of science, Bologna University, Italy)