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Introduction à la journée

BisCottE Bridging statistical and computational efficiency in artificial intelligence - Gilles Blanchard (Université Paris-Saclay)

SCAI Statistics, Computation and Artificial Intelligence - Éric Moulines (École polytechnique)

BRIDGEABLE BRIDinG thE gAp Between iterative proximaL methods and nEural networks - Jean-Christophe Pesquet (CentraleSupélec)

TopAI Topological data analysis for machine learning and AI - Frédéric Chazal (Inria)

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AIGRETTE Analyzing large scale geometric data collections - Maks Ovsjanikov (École polytechnique)

KARAIB Knowledge And Representation Integration on the Brain - Bertrand Thirion (Inria)

FOLDDICO Using the variability of the human cortical folding pattern to benchmark unsupervised learning - Jean-François Mangin (CEA)

BrAIN Bridging Artificial Intelligence and Neuroscience - Alexandre Gramfort (Inria)

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Big2small Transfer learning from big data to small data: leveraging psychiatric neuroimaging biomarkers discovery - Edouard Duchesnay (CEA)

SourcesSay Intelligent analysis and interconnexion of heterogeneous contents in digital arenas - Ioana Manolescu (Inria)

NoRDF Modeling and extracting complex information from natural language text - Fabian Suchanek (Télécom Paris)

AML-HELAS Advanced machine/deep learning for heterogeneous large scale data - Michalis Vazirgiannis (École polytechnique)

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LearnI Learning data integration, from discrete entities to signals - Gaël Varoquaux (Inria)

HUMANIA Artificial intelligence for all - Isabelle Guyon (Université Paris-Saclay)

HUMAAINE HUman-MAchine Affective INteraction & Ethics - Laurence Devillers (Université Sorbonne, CNRS)

XAIforAML Explainable artificial intelligence for anti-money laundering - David Bounie (Télécom Paris)

Chaire industrielle Data Science and Artificial Intelligence for digitalised industry and services avec Airbus Defense and Space, ENGIE, IDEMIA, SAFRAN, VALEO - Florence d'Alché-Buc (Télécom Paris)

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