Michaël Perrot (Preferred)
Michael Perrot
Michaël Perrot
Researcher, INRIA Lille - Nord Europe
Joined
April 2020
Names
,
Emails
****@etu.univ-st-etienne.fr (Confirmed)
****@tuebingen.mpg.de (Confirmed)
****@inria.fr (Confirmed)
Personal Links
Career & Education History
Researcher
INRIA Lille - Nord Europe (inria.fr)
2020 – Present
Postdoc
University Jean Monnet (univ-st-etienne.fr)
2020 – 2020
Postdoc
Max Planck Institute for Intelligent Systems, Max-Planck Institute (tuebingen.mpg.de)
2017 – 2019
Advisors, Relations & Conflicts
Expertise
Fair Machine Learning
, Privacy Preserving Machine Learning
2022 – Present
Fair Machine Learning
, Federated Learning
2022 – Present
Fair Machine Learning
, Statistical Learning Theory
2020 – Present
Trustworthy Machine Learning
, Fair Machine Learning
, Fairness
2019 – Present
Comparison-based Learning
, Ordinal Comparisons
2017 – 2022
Metric Learning
2013 – 2016
Publications
Co-Authors
- Aishik Mandal
- Amaury Habrard
- Antoine Gourru
- Aurélien Bellet
- Brahim Erraji
- Charlotte Laclau
- Christophe Gravier
- Damien Sileo
- Debarghya Ghoshdastidar
- Gaurav Maheshwari
- Leonor Becerra-Bonache
- Marc Sebban
- Marc Tommasi
- Martin Borquez
- Michael Lohaus
- Mikaela Keller
- Pascal Mattia Esser
- Paul Mangold
- Rémi Emonet
- Tanguy Kerdoncuff
- Thibaud Leteno
- Ulrike von Luxburg
- Vitalii Emelianov
- Élisa Fromont