Fast Simultaneous Clustering and Feature Selection for Binary Data. - Charlotte Laclau; Mohamed Nadif (IDA, 2014)

Fuzzy co-clustering with automated variable weighting. - Charlotte Laclau; Francisco de A. T. de Carvalho; Mohamed Nadif (FUZZ-IEEE, 2015)

Diagonal Co-clustering Algorithm for Document-Word Partitioning. - Charlotte Laclau; Mohamed Nadif (IDA, 2015)

Hard and fuzzy diagonal co-clustering for document-term partitioning. - Charlotte Laclau; Mohamed Nadif (Neurocomputing, 2016)

Co-clustering through Optimal Transport. - Charlotte Laclau; Ievgen Redko; Basarab Matei; Younès Bennani; Vincent Brault (ICML, 2017)

KASANDR: A Large-Scale Dataset with Implicit Feedback for Recommendation. - Sumit Sidana; Charlotte Laclau; Massih-Reza Amini; Gilles Vandelle; André Bois-Crettez (SIGIR, 2017)

Representation Learning and Pairwise Ranking for Implicit and Explicit Feedback in Recommendation Systems. - Mikhail Trofimov; Sumit Sidana; Oleh Horodnitskii; Charlotte Laclau; Yury Maximov; Massih-Reza Amini (CoRR, 2017)

Diagonal latent block model for binary data. - Charlotte Laclau; Mohamed Nadif (Stat. Comput., 2017)

KASANDR. - Sumit Sidana; Charlotte Laclau; Massih-Reza Amini (UCI Machine Learning Repository, 2017)

Cross-Lingual Document Retrieval Using Regularized Wasserstein Distance. - Georgios Balikas; Charlotte Laclau; Ievgen Redko; Massih-Reza Amini (ECIR, 2018)

Learning to recommend diverse items over implicit feedback on PANDOR. - Sumit Sidana; Charlotte Laclau; Massih-Reza Amini (RecSys, 2018)

PANDOR. - Massih-Reza Amini; Charlotte Laclau; Sumit Sidana (UCI Machine Learning Repository, 2018)

On Fair Cost Sharing Games in Machine Learning. - Ievgen Redko; Charlotte Laclau (AAAI, 2019)

Noise-free latent block model for high dimensional data. - Charlotte Laclau; Vincent Brault (Data Min. Knowl. Discov., 2019)

Rank-one partitioning: formalization, illustrative examples, and a new cluster enhancing strategy. - Charlotte Laclau; Franck Iutzeler; Ievgen Redko (CoRR, 2020)

Learning over no-Preferred and Preferred Sequence of items for Robust Recommendation. - Aleksandra Burashnikova; Marianne Clausel; Charlotte Laclau; Frack Iutzeller; Yury Maximov; Massih-Reza Amini (CoRR, 2020)

All of the Fairness for Edge Prediction with Optimal Transport. - Charlotte Laclau; Ievgen Redko; Manvi Choudhary; Christine Largeron (AISTATS, 2021)

Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond. - Nina Vesseron; Ievgen Redko; Charlotte Laclau (AISTATS, 2021)

User preference and embedding learning with implicit feedback for recommender systems. - Sumit Sidana; Mikhail Trofimov; Oleh Horodnytskyi; Charlotte Laclau; Yury Maximov; Massih-Reza Amini (Data Min. Knowl. Discov., 2021)

Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation. - Aleksandra Burashnikova; Yury Maximov; Marianne Clausel; Charlotte Laclau; Franck Iutzeler; Massih-Reza Amini (J. Artif. Intell. Res., 2021)

Understanding the Benefits of Forgetting When Learning on Dynamic Graphs. - Julien Tissier; Charlotte Laclau (ECML/PKDD (2), 2022)

Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Extended Abstract). - Aleksandra Burashnikova; Yury Maximov; Marianne Clausel; Charlotte Laclau; Franck Iutzeler; Massih-Reza Amini (CoRR, 2022)

A Survey on Fairness for Machine Learning on Graphs. - Manvi Choudhary; Charlotte Laclau; Christine Largeron (CoRR, 2022)

Fair Text Classification with Wasserstein Independence. - Thibaud Leteno; Antoine Gourru; Charlotte Laclau; Rémi Emonet; Christophe Gravier (EMNLP, 2023)

Comment rendre un GNN plus équitable pour la prédiction de liens ? - Manvi Choudhary; Antoine Gourru; Charlotte Laclau; Christine Largeron (EGC, 2023)

Diverse Paraphrasing with Insertion Models for Few-Shot Intent Detection. - Raphaël Chevasson; Charlotte Laclau; Christophe Gravier (IDA, 2023)

An Investigation of Structures Responsible for Gender Bias in BERT and DistilBERT. - Thibaud Leteno; Antoine Gourru; Charlotte Laclau; Christophe Gravier (IDA, 2023)

Understanding deep neural networks through the lens of their non-linearity. - Quentin Bouniot; Ievgen Redko; Anton Mallasto; Charlotte Laclau; Karol Arndt; Oliver Struckmeier; Markus Heinonen; Ville Kyrki; Samuel Kaski (CoRR, 2023)

A Study on Hierarchical Text Classification as a Seq2seq Task. - Fatos Torba; Christophe Gravier; Charlotte Laclau; Abderrhammen Kammoun; Julien Subercaze (ECIR (3), 2024)

Variational Perspective on Fair Edge Prediction. - Antoine Gourru; Charlotte Laclau; Manvi Choudhary; Christine Largeron (IDA (1), 2024)

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)

Reconstructing the Unseen: GRIOT for Attributed Graph Imputation with Optimal Transport. - Richard Serrano; Charlotte Laclau; Baptiste Jeudy; Christine Largeron (ECML/PKDD (6), 2024)

End-to-end Supervised Prediction of Arbitrary-size Graphs with Partially-Masked Fused Gromov-Wasserstein Matching. - Paul Krzakala; Junjie Yang; Rémi Flamary; Florence d'Alché-Buc; Charlotte Laclau; Matthieu Labeau (CoRR, 2024)

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 (CVPR, 2025)

Decoding the Hierarchy: A Hybrid Approach to Hierarchical Multi-label Text Classification. - Fatos Torba; Christophe Gravier; Charlotte Laclau; Abderrhammen Kammoun; Julien Subercaze (ECIR (1), 2025)

Reconstruire l'invisible : GRIOT pour l'imputation des attributs dans les graphes par transport optimal. - Richard Serrano; Charlotte Laclau; Baptiste Jeudy; Christine Largeron (EGC, 2025)

HISTOIRESMORALES: A French Dataset for Assessing Moral Alignment. - Thibaud Leteno; Irina Proskurina; Antoine Gourru; Julien Velcin; Charlotte Laclau; Guillaume Metzler; Christophe Gravier (NAACL (Long Papers), 2025)

Modeling Musical Genre Trajectories through Pathlet Learning. - Lilian Marey; Charlotte Laclau; Bruno Sguerra; Tiphaine Viard; Manuel Moussallam (UMAP (Adjunct Publication), 2025)

Histoires Morales: A French Dataset for Assessing Moral Alignment. - Thibaud Leteno; Irina Proskurina; Antoine Gourru; Julien Velcin; Charlotte Laclau; Guillaume Metzler; Christophe Gravier (CoRR, 2025)

Fair Text Classification via Transferable Representations. - Thibaud Leteno; Michaël Perrot; Charlotte Laclau; Antoine Gourru; Christophe Gravier (CoRR, 2025)

The quest for the GRAph Level autoEncoder (GRALE). - Paul Krzakala; Gabriel Melo; Charlotte Laclau; Florence d'Alché-Buc; Rémi Flamary (CoRR, 2025)

SimHawNet: a modified Hawkes process for temporal network simulation. - Mathilde Perez; Raphaël Romero; Bo Kang; Tijl De Bie; Jefrey Lijffijt; Charlotte Laclau (Data Min. Knowl. Discov., 2025)