Romain Tavenard

Full Professor, Université de Rennes 2

Joined

July 2019

Names

Romain Tavenard

Emails

****@univ-rennes2.fr (Confirmed)

Personal Links

DBLP

Career & Education History

Full Professor

Université de Rennes 2 (univ-rennes2.fr)

2022 – Present

Assistant Professor

Université de Rennes 2 (univ-rennes2.fr)

2013 – 2022

Postdoc

Idiap Research Institute (idiap.ch)

2011 – 2013

PhD student

Université de Rennes 1 (univ-rennes1.fr)

2007 – 2011

MS student

Centrum voor Wiskunde en Informatica (cwi.nl)

2006 – 2007

Advisors, Relations & Conflicts

Coauthor

Flamary

2016 – Present

Coauthor

Courty

2013 – Present

Coauthor

Chapel

2013 – Present

Coauthor

Emonet

2011 – Present

PhD Advisee

Vayer

2017 – 2020

PhD Advisor

Amsaleg

2007 – 2011

Expertise

optimal transport

2017 – Present

time series

2006 – Present

Publications

Layer by layer, module by module: Choose both for optimal OOD probing of ViT
Ambroise Odonnat, Vasilii Feofanov, Laetitia Chapel, Romain Tavenard, Ievgen Redko
- CAO Poster
- Readers: Everyone
Which transformers components are the most sensitive to distribution shifts?
Ambroise Odonnat, Laetitia Chapel, Romain Tavenard, Ievgen Redko
- Submitted to ICLR 2026
- Readers: Everyone
Differentiable Generalized Sliced Wasserstein Plans
Laetitia Chapel, Romain Tavenard, Samuel Vaiter
- NeurIPS 2025 poster
- Readers: Everyone
One for all and all for one: Efficient computation of partial Wasserstein distances on the line
Laetitia Chapel, Romain Tavenard
- ICLR 2025 Poster
- Readers: Everyone
Time Series Alignment with Global Invariances
Titouan Vayer, Romain Tavenard, Laetitia Chapel, Rémi Flamary, Nicolas Courty, Yann Soullard
- Accepted by TMLR
- Readers: Everyone
Fused Gromov-Wasserstein Distance for Structured Objects
Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty
- 2020 (modified: 17 May 2023)
- Algorithms 2020
- Readers: Everyone
Tslearn, A Machine Learning Toolkit for Time Series Data
Romain Tavenard, Johann Faouzi, Gilles Vandewiele, Felix Divo, Guillaume Androz, Chester Holtz, Marie Payne, Roman Yurchak, Marc Rußwurm, Kushal Kolar, Eli Woods
- 2020 (modified: 22 Sept 2023)
- J. Mach. Learn. Res. 2020
- Readers: Everyone
Time Series Alignment with Global Invariances
Titouan Vayer, Laetitia Chapel, Nicolas Courty, Rémi Flamary, Yann Soullard, Romain Tavenard
- 2020 (modified: 17 May 2023)
- CoRR 2020
- Readers: Everyone
Optimal Transport for structured data with application on graphs
Titouan Vayer, Nicolas Courty, Romain Tavenard, Laetitia Chapel, Rémi Flamary
- 2019 (modified: 11 Nov 2022)
- ICML 2019
- Readers: Everyone
End-to-end Learning for Early Classification of Time Series
Marc Rußwurm, Sébastien Lefèvre, Nicolas Courty, Rémi Emonet, Marco Körner, Romain Tavenard
- 2019 (modified: 26 Sept 2024)
- CoRR 2019
- Readers: Everyone

View all 43 publications

Co-Authors

View all 58 co-authors