Workshop "Graph signals : learning and optimization perspectives" - 2-3 May 2019 - Montpellier (France)
9 Janvier 2019
Catégorie : Conférence
Workshop: "Graph signals : learning and optimization perspectives"
May 2-3, 2019
(Apologies for multiple postings)
Workshop "Graph signals : learning and optimization perspectives"
May 2-3, 2019
We are pleased to announce the organization of a multidisciplinary workshop on Graph signals : learning and optimization perspectives, which will be held in Univ. Montpellier (France) on May 2-3, 2019.
The workshop will focus on research at the frontiere between various fields to exchange state of the art methods and tools to address the new challenges raised by the large scale data-sets now commonly encountered by practitioners. The research presented during this workshop will be at the interface between machine learning, statistics, applied mathematics, optimization, network physics, and life sciences.
Handling large datasets has become a major challenge in fields such fields. However, many methods proposed in the literature do not take into account the fine structures (geometric or not) behind the underlying data, structures that can often be modeled by graph theory.
Though many worldwide tech companies have built their success on extracting information from signals natively lying on graphs, a refined analysis of the underlying graph influence is still missing. From a theoretical perspective this underlying structure is often neglected, or roughly incorporated in the model or in the analysis. The same limits appears in genomics (determining a map of interactions between genes and proteins), epidemiology, neuro-science or transportation networks.
A major objective of the workshop is to initiate new fruitful collaborations between researchers in machine learning, statistics, applied mathematics, optimization, network physics, and life sciences.
Keynote speakers are:
- Sophie Achard (CNRS -GIPSA-LAB)
- Alain Barrat (Aix Marseille Univ, Université de Toulon, CNRS)
- Aurélien Bellet (INRIA Lille)
- Anna Ben-Hamou (Sorbonne Université)
- Pierre Borgnat (ENS Lyon)
- Nicolas Keriven (ENS)
- Loic Landrieu (IGN)
- Andreas Loukas (EPFL)
- Nelly Pustelnik (ENS Lyon)
- Vivian Vialon (CIRC)
Registration is free but mandatory. Please register before *April 28* as we may not be able to guarantee attendance for late registrations. For more information and registration form, please visit:
On behalf of the organizing committee:
Benjamin Charlier (Université de Montpellier)
André Mas (Université de Montpellier)
Nicolas Verzelen (INRA)
Joseph Salmon, (Université de Montpellier)