The teams / labs (and their representatives) involved in the SHARP consortium are:
- Ockham team at LIP (ENS de Lyon, Univ. Claude Bernard Lyon 1, CNRS, Inria) – coordinator Rémi Gribonval
- Sparsity, sketching, statistical learning theory, information theory, mathematics of deep learning
- Miles project-team at LAMSADE (Paris-Dauphine and PSL University, CNRS) – Alexandre Allauzen
- Deep learning for natural language and speech processing
- Imagine team at LIGM (École des Ponts ParisTech, Univ Gustave Eiffel, CNRS) – Loïc Landrieu and Mathieu Aubry
- Representation learning for computer vision
- GENESIS (Inria & University College London) – Benjamin Guedj
- Statistical learning theory, PAC-Bayes, mathematics of deep learning, representation learning
- SIROCCO team at IRISA (CNRS, Univ Rennes, Inria, INSA) – Nicolas Keriven
- Sketched learning, graph neural networks, statistical learning on graphs, optimal transport
- List (Université Paris Saclay, CEA) – Hervé Le Borgne
- Visual and textual content analysis, zero-shot learning, control of generative models
- MLIA team at ISIR (Sorbonne University, CNRS) – Nicolas Thome and Edouard Oyallon
- Statistical signal processing applied to distributed learning and deep learning
