Florent Forest

Postdoc, EPFL - EPF Lausanne

Joined

September 2022

Names

Florent Forest (Preferred)

Emails

****@lipn.univ-paris13.fr (Confirmed)

****@epfl.ch (Confirmed)

Personal Links

Career & Education History

Postdoc

EPFL - EPF Lausanne (epfl.ch)

2021 – Present

PhD student

University Paris 13, Université Paris Nord (Paris XIII) (lipn.univ-paris13.fr)

2018 – 2021

MS student

Institut Supérieur de l'Aéronautique et de l'Espace (isae-supaero.fr)

2013 – 2017

Advisors, Relations & Conflicts

Postdoc Advisor

Olga Fink

2022 – Present

PhD Advisor

Mustapha Lebbah

2018 – 2021

PhD Advisor

Jérôme Lacaille

2018 – 2021

Expertise

clustering

Present

deep learning

Present

unsupervised learning

Present

domain adaptation

Present

engineering

Present

XAI

Present

Publications

Deep embedded self-organizing maps for joint representation learning and topology-preserving clustering
Florent Forest, Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille
- Published: 01 Jan 2021, Last Modified: 12 May 2023
- Neural Comput. Appl. 2021
- Readers: Everyone
An Invariance-guided Stability Criterion for Time Series Clustering Validation
Florent Forest, Alex Mourer, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
- Published: 01 Jan 2020, Last Modified: 12 May 2023
- ICPR 2020
- Readers: Everyone
Deep Architectures for Joint Clustering and Visualization with Self-organizing Maps
Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
- Published: 01 Jan 2019, Last Modified: 12 May 2023
- PAKDD (Workshops) 2019
- Readers: Everyone
Deep Embedded SOM: joint representation learning and self-organization
Florent Forest, Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille
- Published: 01 Jan 2019, Last Modified: 12 May 2023
- ESANN 2019
- Readers: Everyone
A Generic and Scalable Pipeline for Large-Scale Analytics of Continuous Aircraft Engine Data
Florent Forest, Jérôme Lacaille, Mustapha Lebbah, Hanene Azzag
- Published: 01 Jan 2018, Last Modified: 12 May 2023
- IEEE BigData 2018
- Readers: Everyone

Florent Forest

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Deep embedded self-organizing maps for joint representation learning and topology-preserving clustering

An Invariance-guided Stability Criterion for Time Series Clustering Validation

Deep Architectures for Joint Clustering and Visualization with Self-organizing Maps

Deep Embedded SOM: joint representation learning and self-organization

A Generic and Scalable Pipeline for Large-Scale Analytics of Continuous Aircraft Engine Data

Co-Authors