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Timothée Lesort
Postdoc, Montreal Institute for Learning Algorithms, University of Montreal, University of Montreal
Joined
November 2016
Names
Timothée Lesort
(Preferred)
,
Timothee LESORT
Emails
****@gmail.com
(Confirmed)
,
****@thalesgroup.com
(Confirmed)
,
****@ensta-paristech.fr
(Confirmed)
,
****@mila.quebec
(Confirmed)
Personal Links
Google Scholar
LinkedIn
Career & Education History
Postdoc
Montreal Institute for Learning Algorithms, University of Montreal, University of Montreal
(mila.umontreal.ca)
2021
–
Present
PhD student
ENSTA ParisTech
(ensta-paristech.fr)
2017
–
2020
MS student
University of Montreal
(umontreal.ca)
2015
–
2016
MS student
CPE Lyon
(cpe.fr)
2012
–
2016
Undergrad student
CPE Lyon
(cpe.fr)
2010
–
2012
Advisors, Relations & Conflicts
No relations added
Expertise
Deep Learning - Vision - CNN - Continual learning
Present
Publications
Simple and Scalable Strategies to Continually Pre-train Large Language Models
Adam Ibrahim
,
Benjamin Thérien
,
Kshitij Gupta
,
Mats Leon Richter
,
Quentin Gregory Anthony
,
Eugene Belilovsky
,
Timothée Lesort
,
Irina Rish
Accepted by TMLR
Readers:
Everyone
Continual Pre-Training of Large Language Models: How to re-warm your model?
Kshitij Gupta
,
Benjamin Thérien
,
Adam Ibrahim
,
Mats Leon Richter
,
Quentin Gregory Anthony
,
Eugene Belilovsky
,
Irina Rish
,
Timothée Lesort
ES-FoMO 2023 Poster
Readers:
Everyone
Spurious Features in Continual Learning
Timothée Lesort
Published: 11 Jan 2023, Last Modified: 05 May 2023
AAAI23 Bridge Continual Causality
Readers:
Everyone
Challenging Common Assumptions about Catastrophic Forgetting
Timothee LESORT
,
Oleksiy Ostapenko
,
Pau Rodriguez
,
Md Rifat Arefin
,
Diganta Misra
,
Laurent Charlin
,
Irina Rish
Published: 01 Feb 2023, Last Modified: 13 Feb 2023
Submitted to ICLR 2023
Readers:
Everyone
Spurious Features in Continual Learning
Timothee LESORT
Published: 01 Feb 2023, Last Modified: 13 Feb 2023
Submitted to ICLR 2023
Readers:
Everyone
Continual Learning in Deep Networks: an Analysis of the Last Layer
Timothee LESORT
,
Thomas George
,
Irina Rish
Published: 28 Jan 2022, Last Modified: 12 Oct 2025
ICLR 2022 Submitted
Readers:
Everyone
Sequoia: A Software Framework to Unify Continual Learning Research
Fabrice Normandin
,
Oleksiy Ostapenko
,
Pau Rodriguez
,
Florian Golemo
,
Ryan Lindeborg
,
Matthew Riemer
,
Lucas Cecchi
,
Timothee LESORT
,
Khimya Khetarpal
,
David Vazquez
,
Laurent Charlin
,
Irina Rish
,
Massimo Caccia
Published: 28 Jan 2022, Last Modified: 12 Oct 2025
ICLR 2022 Submitted
Readers:
Everyone
Regularization Shortcomings for Continual Learning
Timothee LESORT
,
Andrei Stoian
28 Sept 2020 (modified: 05 May 2023)
ICLR 2021 Conference Blind Submission
Readers:
Everyone
Co-Authors
Adam Ibrahim
Andrei Stoian
Benjamin Thérien
David Vazquez
Diganta Misra
Eugene Belilovsky
Fabrice Normandin
Florian Golemo
Irina Rish
Khimya Khetarpal
Kshitij Gupta
Laurent Charlin
Lucas Cecchi
Massimo Caccia
Mats Leon Richter
Matthew Riemer
Md Rifat Arefin
Oleksiy Ostapenko
Pau Rodriguez
Quentin Gregory Anthony
Ryan Lindeborg
Thomas George