Charlotte Laclau

Associate Professor, Télecom Paris

Joined

December 2019

Names

Charlotte Laclau

Emails

****@telecom-paris.fr (Confirmed)

****@univ-st-etienne.fr (Confirmed)

Personal Links

Career & Education History

Associate Professor

Télecom Paris (telecom-paris.fr)

2022 – Present

Associate Professor

Université Jean Monnet (univ-st-etienne.fr)

2018 – 2022

Postdoc

University of Grenoble (univ-grenoble-alpes.fr)

2016 – 2018

PhD student

University Paris Descartes (parisdescartes.fr)

2012 – 2016

Advisors, Relations & Conflicts

Postdoc Advisor

Massih-Reza Amini

2016 – 2018

PhD Advisor

Mohamed Nadif

2012 – 2016

Expertise

machine learning

Present

fairness

Present

dynamic graphs

Present

graph embedding

Present

Publications

All of the Fairness for Edge Prediction with Optimal Transport
Charlotte Laclau, Ievgen Redko, Christine Largeron
- AISTATS
- Readers: Everyone
Fair Text Classification via Transferable Representations.
Charlotte Laclau
- Journal of Machine Learning Research
- Readers: Everyone
The quest for the GRAph Level autoEncoder (GRALE)
Paul Krzakala, Gabriel Melo, Charlotte Laclau, Florence d'Alché-Buc, Rémi Flamary
- NeurIPS 2025 poster
- Readers: Everyone
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport
Quentin Bouniot, Ievgen Redko, Anton Mallasto, Charlotte Laclau, Oliver Struckmeier, Karol Arndt, Markus Heinonen, Ville Kyrki, Samuel Kaski
- MIV at CVPR 2025 (Non-proceedings Track) Poster
- Readers: Everyone
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport
Quentin Bouniot, Ievgen Redko, Anton Mallasto, Charlotte Laclau, Oliver Struckmeier, Karol Arndt, Markus Heinonen, Ville Kyrki, Samuel Kaski
- ICML 2024 MI Workshop Poster
- Readers: Everyone
A framework for differentiable Supervised Graph Prediction
Paul KRZAKALA, Junjie Yang, Rémi Flamary, Florence d'Alché-Buc, Charlotte Laclau, Matthieu Labeau
- Differentiable Almost Everything
- Readers: Everyone
Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss
Paul KRZAKALA, Junjie Yang, Rémi Flamary, Florence d'Alché-Buc, Charlotte Laclau, Matthieu Labeau
- NeurIPS 2024 spotlight
- Readers: Everyone
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport
Quentin Bouniot, Ievgen Redko, Anton Mallasto, Charlotte Laclau, Oliver Struckmeier, Karol Arndt, Markus Heinonen, Ville Kyrki, Samuel Kaski
- Submitted to NeurIPS 2024
- Readers: Everyone
Understanding deep neural networks through the lens of their non-linearity
Quentin Bouniot, Ievgen Redko, Anton Mallasto, Charlotte Laclau, Oliver Struckmeier, Karol Arndt, Markus Heinonen, Ville Kyrki, Samuel Kaski
- Submitted to ICLR 2024
- Readers: Everyone
Fair Text Classification with Wasserstein Independence
Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Rémi Emonet, Christophe Gravier
- EMNLP 2023 Main
- Readers: Everyone

View all 11 publications

Charlotte Laclau

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors