Amaury Habrard

Université Saint-Etienne, Laboratoire Hubert Curien

Names

How do you usually write your name as author of a paper? Also add any other names you have authored papers under.

Amaury Habrard

Emails

Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.

****@univ-st-etienne.fr

Personal Links

Add links to your profiles on other sites. (Optional)

Education & Career History

Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.

Full Professor
Université Saint-Etienne, Laboratoire Hubert Curien (univ-st-etienne.fr)
2011 – Present
 
Associate Professor
Ecole Centrale Marseille, Computer Science Lab - Aix Marseille University, Marseille - CNRS, France (univ-mrs.fr)
2010 – 2011
 
Assistant Professor
Ecole Centrale Marseille, Computer Science Lab - Aix Marseille University, Marseille - CNRS, France (univ-mrs.fr)
2005 – 2010
 
PhD student
University Jean Monnet (univ-st-etienne.fr)
2001 – 2004
 

Advisors, Relations & Conflicts

Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.

PhD Advisor
Sebban
****@univ-st-etienne.fr
Present
 
PhD Advisor
Bernard
****@univ-st-etienne.fr
Present
 
Coauthor
Pascal Germain
****@inria.fr
2013 – Present
 
Coauthor
Francois Laviolette
****@ift.ulaval.ca
2013 – Present
 
Coauthor
Nicolas Courty
****@irisa.fr
2016 – 2017
 
Coauthor
Basura Fernando
****@anu.edu.au
2011 – 2016
 
Coauthor
Basura Fernando
****@esat.kuleuven.be
2011 – 2014
 
Coauthor
Elisa Fromont
****@univ-st-etienne.fr
2011 – 2014
 
Coauthor
Tinne Tuytelaars
****@esat.kuleuven.be
2011 – 2014
 
Coauthor
Damien Muselet
****@univ-st-etienne.fr
2011 – 2014
 

Expertise

For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing

transfer learning, domain adaptation
Present
 
metric learning, representation learning
Present
 
deep learning, anomaly detection, word embedding
Present