Charlotte Laclau

52 papers A* 6A 4B 6Journal 27Unranked 9
YearRankTypeTitle / Venue / Authors
2026 B conf
Drop the Mask! GAMM - A Taxonomy for Graph Attributes Missing Mechanisms.
IDA
Richard Serrano, Baptiste Jeudy, Charlotte Laclau, Christine Largeron
2026 J jnl
Drop the mask! GAMM-A Taxonomy for Graph Attributes Missing Mechanisms.
CoRR
Richard Serrano, Baptiste Jeudy, Charlotte Laclau, Christine Largeron
2026 J jnl
How Predicted Links Influence Network Evolution: Disentangling Choice and Algorithmic Feedback in Dynamic Graphs.
CoRR
Mathilde Perez, Raphaël Romero, Jefrey Lijffijt, Charlotte Laclau
2026 J jnl
TopoFair: Linking Topological Bias to Fairness in Link Prediction Benchmarks.
CoRR
Lilian Marey, Mathilde Perez, Tiphaine Viard, Charlotte Laclau
2026 J jnl
k-hop Fairness: Addressing Disparities in Graph Link Prediction Beyond First-Order Neighborhoods.
CoRR
Lilian Marey, Tiphaine Viard, Charlotte Laclau
2025 — conf
Decoding the Hierarchy: A Hybrid Approach to Hierarchical Multi-label Text Classification.
ECIR (1)
Fatos Torba, Christophe Gravier, Charlotte Laclau, Abderrhammen Kammoun, Julien Subercaze
2025 J jnl
Fair Text Classification via Transferable Representations.
CoRR
Thibaud Leteno, Michaël Perrot, Charlotte Laclau, Antoine Gourru, Christophe Gravier
2025 J jnl
Fair Text Classification via Transferable Representations.
J. Mach. Learn. Res.
Thibaud Leteno, Michaël Perrot, Charlotte Laclau, Antoine Gourru, Christophe Gravier
2025 A* conf
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport.
CVPR
Quentin Bouniot, Ievgen Redko, Anton Mallasto, Charlotte Laclau, Oliver Struckmeier, Karol Arndt, Markus Heinonen, Ville Kyrki, Samuel Kaski
2025 — conf
HISTOIRESMORALES: A French Dataset for Assessing Moral Alignment.
NAACL (Long Papers)
Thibaud Leteno, Irina Proskurina, Antoine Gourru, Julien Velcin, Charlotte Laclau, Guillaume Metzler, Christophe Gravier
2025 J jnl
Histoires Morales: A French Dataset for Assessing Moral Alignment.
CoRR
Thibaud Leteno, Irina Proskurina, Antoine Gourru, Julien Velcin, Charlotte Laclau, Guillaume Metzler, Christophe Gravier
2025 — conf
Modeling Musical Genre Trajectories through Pathlet Learning.
UMAP (Adjunct Publication)
Lilian Marey, Charlotte Laclau, Bruno Sguerra, Tiphaine Viard, Manuel Moussallam
2025 J jnl
Modeling Musical Genre Trajectories through Pathlet Learning.
CoRR
Lilian Marey, Charlotte Laclau, Bruno Sguerra, Tiphaine Viard, Manuel Moussallam
2025 — conf
Reconstruire l'invisible : GRIOT pour l'imputation des attributs dans les graphes par transport optimal.
EGC
Richard Serrano, Charlotte Laclau, Baptiste Jeudy, Christine Largeron
2025 J jnl
SimHawNet: a modified Hawkes process for temporal network simulation.
Data Min. Knowl. Discov.
Mathilde Perez, Raphaël Romero, Bo Kang, Tijl De Bie, Jefrey Lijffijt, Charlotte Laclau
2025 J jnl
The quest for the GRAph Level autoEncoder (GRALE).
CoRR
Paul Krzakala, Gabriel Melo, Charlotte Laclau, Florence d'Alché-Buc, Rémi Flamary
2024 — conf
A Study on Hierarchical Text Classification as a Seq2seq Task.
ECIR (3)
Fatos Torba, Christophe Gravier, Charlotte Laclau, Abderrhammen Kammoun, Julien Subercaze
2024 J jnl
An investigation of structures responsible for gender bias in BERT and DistilBERT.
CoRR
Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Christophe Gravier
2024 A* conf
Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss.
NeurIPS
Paul Krzakala, Junjie Yang, Rémi Flamary, Florence d'Alché-Buc, Charlotte Laclau, Matthieu Labeau
2024 J jnl
End-to-end Supervised Prediction of Arbitrary-size Graphs with Partially-Masked Fused Gromov-Wasserstein Matching.
CoRR
Paul Krzakala, Junjie Yang, Rémi Flamary, Florence d'Alché-Buc, Charlotte Laclau, Matthieu Labeau
2024 — conf
Reconstructing the Unseen: GRIOT for Attributed Graph Imputation with Optimal Transport.
ECML/PKDD (6)
Richard Serrano, Charlotte Laclau, Baptiste Jeudy, Christine Largeron
2024 — conf
Variational Perspective on Fair Edge Prediction.
IDA (1)
Antoine Gourru, Charlotte Laclau, Manvi Choudhary, Christine Largeron
2023 B conf
An Investigation of Structures Responsible for Gender Bias in BERT and DistilBERT.
IDA
Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Christophe Gravier
2023 — conf
Comment rendre un GNN plus équitable pour la prédiction de liens ?
EGC
Manvi Choudhary, Antoine Gourru, Charlotte Laclau, Christine Largeron
2023 B conf
Diverse Paraphrasing with Insertion Models for Few-Shot Intent Detection.
IDA
Raphaël Chevasson, Charlotte Laclau, Christophe Gravier
2023 A* conf
Fair Text Classification with Wasserstein Independence.
EMNLP
Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Rémi Emonet, Christophe Gravier
2023 J jnl
Fair Text Classification with Wasserstein Independence.
CoRR
Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Rémi Emonet, Christophe Gravier
2023 J jnl
Understanding deep neural networks through the lens of their non-linearity.
CoRR
Quentin Bouniot, Ievgen Redko, Anton Mallasto, Charlotte Laclau, Karol Arndt, Oliver Struckmeier, Markus Heinonen, Ville Kyrki, Samuel Kaski
2022 J jnl
A Survey on Fairness for Machine Learning on Graphs.
CoRR
Manvi Choudhary, Charlotte Laclau, Christine Largeron
2022 J jnl
Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Extended Abstract).
CoRR
Aleksandra Burashnikova, Yury Maximov, Marianne Clausel, Charlotte Laclau, Franck Iutzeler, Massih-Reza Amini
2022 — conf
Understanding the Benefits of Forgetting When Learning on Dynamic Graphs.
ECML/PKDD (2)
Julien Tissier, Charlotte Laclau
2021 A conf
All of the Fairness for Edge Prediction with Optimal Transport.
AISTATS
Charlotte Laclau, Ievgen Redko, Manvi Choudhary, Christine Largeron
2021 A conf
Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond.
AISTATS
Nina Vesseron, Ievgen Redko, Charlotte Laclau
2021 J jnl
Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation.
J. Artif. Intell. Res.
Aleksandra Burashnikova, Yury Maximov, Marianne Clausel, Charlotte Laclau, Franck Iutzeler, Massih-Reza Amini
2021 J jnl
User preference and embedding learning with implicit feedback for recommender systems.
Data Min. Knowl. Discov.
Sumit Sidana, Mikhail Trofimov, Oleh Horodnytskyi, Charlotte Laclau, Yury Maximov, Massih-Reza Amini
2020 J jnl
All of the Fairness for Edge Prediction with Optimal Transport.
CoRR
Charlotte Laclau, Ievgen Redko, Manvi Choudhary, Christine Largeron
2020 J jnl
Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond.
CoRR
Nina Vesseron, Ievgen Redko, Charlotte Laclau
2020 J jnl
Learning over no-Preferred and Preferred Sequence of items for Robust Recommendation.
CoRR
Aleksandra Burashnikova, Marianne Clausel, Charlotte Laclau, Frack Iutzeller, Yury Maximov, Massih-Reza Amini
2020 J jnl
Rank-one partitioning: formalization, illustrative examples, and a new cluster enhancing strategy.
CoRR
Charlotte Laclau, Franck Iutzeler, Ievgen Redko
2019 J jnl
Noise-free latent block model for high dimensional data.
Data Min. Knowl. Discov.
Charlotte Laclau, Vincent Brault
2019 A* conf
On Fair Cost Sharing Games in Machine Learning.
AAAI
Ievgen Redko, Charlotte Laclau
2018 A conf
Cross-Lingual Document Retrieval Using Regularized Wasserstein Distance.
ECIR
Georgios Balikas, Charlotte Laclau, Ievgen Redko, Massih-Reza Amini
2018 J jnl
Cross-lingual Document Retrieval using Regularized Wasserstein Distance.
CoRR
Georgios Balikas, Charlotte Laclau, Ievgen Redko, Massih-Reza Amini
2018 A conf
Learning to recommend diverse items over implicit feedback on PANDOR.
RecSys
Sumit Sidana, Charlotte Laclau, Massih-Reza Amini
2017 A* conf
Co-clustering through Optimal Transport.
ICML
Charlotte Laclau, Ievgen Redko, Basarab Matei, Younès Bennani, Vincent Brault
2017 J jnl
Diagonal latent block model for binary data.
Stat. Comput.
Charlotte Laclau, Mohamed Nadif
2017 A* conf
KASANDR: A Large-Scale Dataset with Implicit Feedback for Recommendation.
SIGIR
Sumit Sidana, Charlotte Laclau, Massih-Reza Amini, Gilles Vandelle, André Bois-Crettez
2017 J jnl
Representation Learning and Pairwise Ranking for Implicit and Explicit Feedback in Recommendation Systems.
CoRR
Mikhail Trofimov, Sumit Sidana, Oleh Horodnitskii, Charlotte Laclau, Yury Maximov, Massih-Reza Amini
2016 J jnl
Hard and fuzzy diagonal co-clustering for document-term partitioning.
Neurocomputing
Charlotte Laclau, Mohamed Nadif
2015 B conf
Diagonal Co-clustering Algorithm for Document-Word Partitioning.
IDA
Charlotte Laclau, Mohamed Nadif
2015 B conf
Fuzzy co-clustering with automated variable weighting.
FUZZ-IEEE
Charlotte Laclau, Francisco de A. T. de Carvalho, Mohamed Nadif
2014 B conf
Fast Simultaneous Clustering and Feature Selection for Binary Data.
IDA
Charlotte Laclau, Mohamed Nadif