Michele Sebag

Senior Researcher CNRS, CNRS, Université Paris-Saclay

Joined

June 2019

Names

Michele Sebag (Preferred)

Michèle Sebag

Emails

****@lri.fr (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Senior Researcher CNRS

CNRS, Université Paris-Saclay (lri.fr)

2003 – Present

Advisors, Relations & Conflicts

Coauthor

Schoenauer

2000 – Present

Expertise

causal modeling

2015 – Present

applications in social and economic sciences

2015 – Present

deep learning

2010 – Present

feature selection

2010 – Present

Publications

Dynamic time lag regression: Predicting what and when
Mandar Hemant Chandorkar, Cyril Furtlehner, Bala Poduval, Michele Sebag
- ICLR 2020
- Readers: Everyone
Provably Safeguarding a Classifier from OOD and Adversarial Samples
Nicolas Atienza, Johanne Cohen, Christophe Labreuche, Michele Sebag
- ICLR 2025 Poster
- Readers: Everyone
Learning Functional Causal Models with Generative Neural Networks
Olivier Goudet, Diviyan Kalainathan, Philippe Caillou, Isabelle Guyon, David Lopez-Paz, Michele Sebag
- The Springer Series on Challenges in Machine Learning
- Readers: Everyone
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs
Diviyan Kalainathan, Olivier Goudet, Isabelle Guyon, David Lopez-Paz, Michele Sebag
- Journal of Machine Learning Research
- Readers: Everyone
Distribution-Based Invariant Deep Networks for Learning Meta-Features
Gwendoline de Bie, Herilalaina Rakotoarison, Gabriel Peyré, Michele Sebag
- Published: 16 May 2022, Last Modified: 15 Jan 2026
- AutoML 2022 (Late-Breaking Workshop)
- Readers: Everyone
Learning meta-features for AutoML
Herilalaina Rakotoarison, Louisot Milijaona, Andry RASOANAIVO, Michele Sebag, Marc Schoenauer
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Spotlight
- Readers: Everyone
Boltzman Tuning of Generative Models
Victor Berger, Michele Sebag
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Withdrawn Submission
- Readers: Everyone
Distribution-Based Invariant Deep Networks for Learning Meta-Features
Gwendoline de Bie, Herilalaina Rakotoarison, Gabriel Peyré, Michèle Sebag
- 28 Sept 2020 (modified: 12 Oct 2025)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention
Isabelle Guyon, Imad Chaabane, Hugo Jair Escalante, Sergio Escalera, Damir Jajetic, James Robert Lloyd, Núria Macià, Bisakha Ray, Lukasz Romaszko, Michèle Sebag, Alexander R. Statnikov, Sébastien Treguer, Evelyne Viegas
- 2016 (modified: 11 Nov 2022)
- AutoML@ICML 2016
- Readers: Everyone
Programming by Feedback
Marc Schoenauer, Riad Akrour, Michèle Sebag, Jean-Christophe Souplet
- 2014 (modified: 11 Nov 2022)
- ICML 2014
- Readers: Everyone

View all 27 publications

Co-Authors

View all 57 co-authors