About GEMS AI > Jean-Michel Loubes 

Jean-Michel LOUBES

Professor of Mathematics & Chair ANITI 

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Institut de Mathématiques de Toulouse

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Equipe de Statistique et Probabilités & Projet AOC (Apprentissage, Optimisation et Complexité)

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Institut de Mathématiques de Toulouse

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loubes@math.univ-toulouse.fr

Research activities

MATHEMATICAL Statistics

MACHINE Learning

OPTIMAL TRANSPORT and Applications to Statistics

HIGH-DIMENSIONAL data and Complexity

FAIR LEARNING and Interpretable IA

Current duties

Associate Editor

European Journal of Statistics (EJS)

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Member

of Scientific Comitee of CNRS Mathematical Institute

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Deputy President

of Toulouse 3’s University (in charge of innovation for Industry)

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Head of Master 2

Mathematics and Applications

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Current projects

Fair,

Robust and Explainable Learning

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Anomaly

Detection in Machine Learning

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Applications

of Optimal Transport in Machine Learning

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Machine

Learning in Human Evolution and Medicine

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Agenda & News

27-31/01/2019

ACM Fat Conference
Atlanta

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27-31/01/2019

ACM Fat Conference
Atlanta

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12-17/05/2019

Kick-off meeting IA
Montreal

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08/2019

Invited Conference at ISI World
Statistics Congress

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FEBURARY 2019

Research stay at Postda
University

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5-11/05/2019

Oberwolfach Workshop
Statistical and Computational
Aspects of Learning
with Complex Structure

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ICML 2019

(Paper on Fair Learning
Accepted)

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Formations en ligne

Code source on GitHub

You can find onGitHub : theIntroduction, Installation guide, User guide (Measuring model influence, Evaluating model reliability, Support for image classification), Authors and License.

 

GEMS

Globally Explaining
Models under Stress

This work is done at the Toulouse Mathematics Institute. It is supported by the Centre National de la Recherche Scientifique (CNRS) and in collaboration with the Artificial and Natural  Intelligence Toulouse

        

 

Contact us

Toulouse
Mathematics Institute

118 Rte de Narbonne
31400 Toulouse – FRANCE
contact@gems-ai.com

© Copyright & mentions légales

 

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