GRAPH SIGNALS : LEARNING AND OPTIMIZATION PERSPECTIVES
The workshop "Graph signals : learning and optimization perspectives" will take place on May 2 and May 3, 2019 in Montpellier (Université de Montpellier, Amphithéâtre Serge Peytavin - Polytech - Bâtiment 31, Campus Triolet).
| When |
May 02, 2019 09:00
to
May 03, 2019 06:00 |
|---|---|
| Where | Université de Montpellier |
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The workshop "Graph signals : learning and optimization perspectives" will take place on May 2 and May 3, 2019 in Montpellier (Université de Montpellier, Amphithéâtre Serge Peytavin - Polytech - Bâtiment 31, Campus Triolet).
e will have the please to have the following keynote speakers :
- Sophie Achard (CNRS -GIPSA-LAB) : "Graph inference by multiple testing: application to brain connectivity"
- Alain Barrat (Aix Marseille Univ, Université de Toulon, CNRS) : "Finding structures in temporal networks"
- Aurélien Bellet (INRIA Lille) : "Decentralized Machine Learning on Graphs"
- Anna Ben-Hamou (Sorbonne Université) : "Estimating graph parameters with random walks"
- Pierre Borgnat (CNRS, ENS Lyon) : "Graph Signal Processing on directed graph for modeling and learning"
- Nicolas Keriven (ENS) : Consistency of smoothed spectral clustering in the dynamic stochastic block model
- Loic Landrieu (IGN) : "Cut-Pursuit: A Working-Set Strategy for Graph-Structured Regularization"
- Andreas Loukas (EPFL) : "Demystifying graph coarsening: spectral and cut guarantees"
- Nelly Pustelnik (CNRS, ENS Lyon) : "Discrete Mumford-Shah model: from image restoration to graph analysis"
- Vivian Vialon (CIRC) : "Data shared lasso: a simple L1 regularization method for the modeling of stratified data"
Organisation committee:
- Joseph Salmon, (Université de Montpellier)
- Nicolas Verzelen (INRA)
- André Mas (Université de Montpellier)
- Benjamin Charlier (Université de Montpellier)
Scientific comittee:
- Samuel Vaiter (Université de Bourgogne)
- Charles-Alban Deledalle (CNRS)
- Pierre Bellec (Rutgers University)
- Xavier Dupuis (Université de Bourgogne)
- Nicolas Tremblay (Univ Grenoble-Alpe)