4 September 2018

Stéphane Mallat (ENS Paris / Collège de France)

Unsupervised learning: from maximum entropy to deep generative networks

Nicolas Courty (Univ. Bretagne Sud / IRISA)

Optimal Transport and Domain Adaptation

Michel Sebag (LRI)

Searching Causal Models

organized by Gérard Biau (Sorbonne Université)

Panel on scientific challenges

5 September 2018

Pierre Vandergheynst (EPFL)

Geometric deep learning and applications

Johannes Schmidt-Hieber (Leiden University)

Statistical theory for deep ReLU networks

Antoine Chatalic (Univ. Rennes 1)

Compressive learning with random moments

Fabian-Robert Stöter (Inria & LIRMM / Univ Montpellier)

Deep Learning for Music Unmixing

Sanjeel Parekh (Telecom ParisTech / Technicolor)

Representation learning for audio-visual events

Laurent Girin (Univ. Grenoble Alpes, Grenoble-INP, GIPSA-lab)

Deep learning for speech enhancement

6 September 2018

Martin Engilberge (Sorbonne Université / Technicolor)

Deep semantic-visual embedding with localization

Elisa Fromont (Univ. Rennes 1)

Deep learning from imbalanced data

Julien Perez (Naver Labs Europe)

Machine Reading, recent advances

Loic Barrault (LIUM, Le Mans Université)

Multimodal machine translation

Partners

Irmar LMJL ENS Rennes LMBA LAREMA

Affiliation

ANR CNRS Rennes 1 Rennes 2 Nantes INSA Rennes INRIA ENSRennes UBO UBS Angers UBL