Alert button
Picture for Charlotte Laclau

Charlotte Laclau

Alert button

End-to-end Supervised Prediction of Arbitrary-size Graphs with Partially-Masked Fused Gromov-Wasserstein Matching

Feb 23, 2024
Paul Krzakala, Junjie Yang, Rémi Flamary, Florence d'Alché-Buc, Charlotte Laclau, Matthieu Labeau

Viaarxiv icon

An investigation of structures responsible for gender bias in BERT and DistilBERT

Jan 12, 2024
Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Christophe Gravier

Viaarxiv icon

Fair Text Classification with Wasserstein Independence

Nov 21, 2023
Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Rémi Emonet, Christophe Gravier

Figure 1 for Fair Text Classification with Wasserstein Independence
Figure 2 for Fair Text Classification with Wasserstein Independence
Figure 3 for Fair Text Classification with Wasserstein Independence
Figure 4 for Fair Text Classification with Wasserstein Independence
Viaarxiv icon

Understanding deep neural networks through the lens of their non-linearity

Oct 17, 2023
Quentin Bouniot, Ievgen Redko, Anton Mallasto, Charlotte Laclau, Karol Arndt, Oliver Struckmeier, Markus Heinonen, Ville Kyrki, Samuel Kaski

Figure 1 for Understanding deep neural networks through the lens of their non-linearity
Figure 2 for Understanding deep neural networks through the lens of their non-linearity
Figure 3 for Understanding deep neural networks through the lens of their non-linearity
Figure 4 for Understanding deep neural networks through the lens of their non-linearity
Viaarxiv icon

Mixture of segmentation for heterogeneous functional data

Mar 19, 2023
Vincent Brault, Émilie Devijver, Charlotte Laclau

Figure 1 for Mixture of segmentation for heterogeneous functional data
Figure 2 for Mixture of segmentation for heterogeneous functional data
Figure 3 for Mixture of segmentation for heterogeneous functional data
Figure 4 for Mixture of segmentation for heterogeneous functional data
Viaarxiv icon

A Survey on Fairness for Machine Learning on Graphs

May 11, 2022
Manvi Choudhary, Charlotte Laclau, Christine Largeron

Figure 1 for A Survey on Fairness for Machine Learning on Graphs
Figure 2 for A Survey on Fairness for Machine Learning on Graphs
Figure 3 for A Survey on Fairness for Machine Learning on Graphs
Figure 4 for A Survey on Fairness for Machine Learning on Graphs
Viaarxiv icon

Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Extended Abstract)

Feb 26, 2022
Aleksandra Burashnikova, Yury Maximov, Marianne Clausel, Charlotte Laclau, Franck Iutzeler, Massih-Reza Amini

Figure 1 for Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Extended Abstract)
Figure 2 for Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Extended Abstract)
Figure 3 for Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Extended Abstract)
Figure 4 for Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Extended Abstract)
Viaarxiv icon

Learning over no-Preferred and Preferred Sequence of items for Robust Recommendation

Dec 12, 2020
Aleksandra Burashnikova, Marianne Clausel, Charlotte Laclau, Frack Iutzeller, Yury Maximov, Massih-Reza Amini

Figure 1 for Learning over no-Preferred and Preferred Sequence of items for Robust Recommendation
Figure 2 for Learning over no-Preferred and Preferred Sequence of items for Robust Recommendation
Figure 3 for Learning over no-Preferred and Preferred Sequence of items for Robust Recommendation
Figure 4 for Learning over no-Preferred and Preferred Sequence of items for Robust Recommendation
Viaarxiv icon

All of the Fairness for Edge Prediction with Optimal Transport

Oct 30, 2020
Charlotte Laclau, Ievgen Redko, Manvi Choudhary, Christine Largeron

Figure 1 for All of the Fairness for Edge Prediction with Optimal Transport
Figure 2 for All of the Fairness for Edge Prediction with Optimal Transport
Figure 3 for All of the Fairness for Edge Prediction with Optimal Transport
Figure 4 for All of the Fairness for Edge Prediction with Optimal Transport
Viaarxiv icon

Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond

Oct 21, 2020
Nina Vesseron, Ievgen Redko, Charlotte Laclau

Figure 1 for Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond
Viaarxiv icon