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Challenges in the Extraction and Separation of Sources

Workshop on Riemannian Geometry of the Manifold of SPD Matrices.

 

Registration now open.


Registration to the workshop is free but mandatory.



Program of the workshop



 9h15 —  9h45Welcome and Introduction
Christian Jutten
 9h45 — 10h30Properties of positive definite matrices
Rajendra BhatiaIndian Statistical Institute, Delhi, India
10h30 — 11h15Riemannian distance function, curvature, and topology
Bijan AfsariJohns Hopkins University, MD, USA
11h15 — 11h45Coffee Break
11h45 — 12h30Other distance functions of SPD matrices
Maher MoakherNational Engineering School, Tunis, Tunisia
12h30 — 13h15Optimization on manifolds: theory and algorithms
Pierre–Antoine AbsilUniversité Catholique de Louvain, Belgium
13h15 — 14h15Lunch Break
14h15 — 14h45Curve fitting on the cone of SPD matrices
Pierre–Antoine AbsilUniversité Catholique de Louvain, Belgium
14h45 — 15h15How to reach the Riemannian centre of mass: Part I
Bijan AfsariJohns Hopkins University, MD, USA
15h15 — 15h45Coffee Break
15h45 — 16h15How to reach the Riemannian centre of mass: Part II
Rajendra BhatiaIndian Statistical Institute, Delhi, India
16h15 — 16h45Riemannian and information diagonality measures
Maher MoakherNational Engineering School, Tunis, Tunisia
16h45 — 17h30Open discussion


pdf version of the program


How to get there



By tram (from the train station or Grenoble centre)

Take tramway B toward Gières — Plaine des sports, and get off at stop Gabriel Fauré. Looking in the travel direction, GIPSA is in the building on your left-hand side (ENSE3, Grenoble INP). Detailed instructions can be found here.

The workshop will take place on the first floor of building D, room Mont Blanc. Indications will guide you.


For all other transport

Check How to get to GIPSA lab for detailed instructions.




Abstracts (in alphabetical order)


Pierre-Antoine AbsilUniversité Catholique de Louvain, Belgium
Optimization on manifolds: theory and algorithms

Summary





Geometric methods for recommender systems

Summary




Bijan AfsariJohns Hopkins University, MD, USA
Riemannian distance function, curvature, and topology

Summary




Algorithms for finding the Riemannian centre of mass

Summary




Rajendra BhatiaIndian Statistical Institute, Delhi, India
Geometry of the space of positive definite matrices

Summary




How to reach the Riemannian centre of mass

Summary




Maher MoakherNational Engineering School, Tunis, Tunisia
Riemannian and Information geometry of SPD matrices

Summary




Riemannian and information diagonality measures

Summary