Presentation  Topics  Important Dates

4th conference on Geometric Science of Information  27 August 2019  29 August 2019 ENAC, Toulouse (France)
As for GSI’13, GSI’15 and GSI’17, the objective of this SEE GSI’19 conference, hosted in Toulouse at ENAC, is to bring together pure/applied mathematicians and engineers, with common interest for Geometric tools and their applications for Information analysis.
It emphasizes an active participation of young researchers to discuss emerging areas of collaborative research on “Geometric Science of Information and their Applications”.
Current and ongoing uses of Information Geometry Manifolds in applied mathematics are the following: Advanced Signal/Image/Video Processing, Complex Data Modeling and Analysis, Information Ranking and Retrieval, Coding, Cognitive Systems, Optimal Control, Statistics on Manifolds, Topology/Machine/Deep Learning, Artificial Intelligence, Speech/sound recognition, natural language treatment, Big Data Analytics, Learning for Robotics, etc., which are substantially relevant for industry.
The Conference will be therefore held in areas of topics of mutual interest with the aim to: Provide an overview on the most recent stateoftheart
 Exchange mathematical information/knowledge/expertise in the area
 Identify research areas/applications for future collaboration
This conference will be an interdisciplinary event and will unify skills from Geometry, Probability and Information Theory. Proceedings are published in Springer's Lecture Note in Computer Science (LNCS) series. SPRINGER will sponsor Best paper Award GSI’19.
Gala Diner will take place at HôtelDieu SaintJacques in Salle Des Colonnes.Provisional topics of interests:
 Probability on Riemannian Manifolds
 Optimization on Manifold
 Shape Space
 Statistics on nonlinear data
 Lie Group Machine Learning
 Harmonic Analysis on Lie Groups
 Statistical Manifold & Hessian Information Geometry
 Monotone Embedding in Information Geometry
 Nonparametric Information Geometry
 Computational Information Geometry
 Divergence Geometry
 Optimal Transport
 Geometric Deep Learning
 Geometry of Hamiltonian Monte Carlo
 Information Topology
 Geometric & (Poly)Symplectic Integrators
 Geometric structures in thermodynamics and statistical physics
 Contact Geometry & Hamiltonian Control
 Geometric and structure preserving discretizations
 Geometry of Quantum States
 Geodesic Methods with Constraints
 Probability Density Estimation & Sampling in High Dimension
 Geometry of Graphs and Networks
 Distance Geometry
 Geometry of TensorValued Data
 Geometric Mechanics
 Geometric Robotics & Learning
 Geometry in Neuroscience & Cognitive Sciences
A special session will deal with:
 Geometric Science of Information Libraries (geomstats, pyRiemann , …)
Important dates
 Deadline for 8 pages SPRINGER LNCS format: 18th of February 2019
 Notification of acceptance: 22nd of April 2019
 Final paper submission: 15th of June 2019
Provisional program of Invited Speakers:
History Session: TBC on “Fermat, Pascal & the Geometry of Chance”, Frédéric Barbaresco & Michel Boyom “Tribute to JeanLouis Koszul (who passed away in January 2018)”
Invited Honorary speaker: TBC, Guest Honorary speaker: TBC, and 3 keynotes Speakers: TBC
(TBC: To be Confirmed)Sponsors