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ORCIDCharlotte Laclau
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2020 – today
- 2024
[c18]Fatos Torba
, Christophe Gravier, Charlotte Laclau, Abderrhammen Kammoun, Julien Subercaze:
A Study on Hierarchical Text Classification as a Seq2seq Task. ECIR (3) 2024: 287-296- [c17]Antoine Gourru, Charlotte Laclau, Manvi Choudhary, Christine Largeron:
Variational Perspective on Fair Edge Prediction. IDA (1) 2024: 93-104 - [c16]Richard Serrano, Charlotte Laclau, Baptiste Jeudy, Christine Largeron:
Reconstructing the Unseen: GRIOT for Attributed Graph Imputation with Optimal Transport. ECML/PKDD (6) 2024: 269-286 - [i12]Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Christophe Gravier:
An investigation of structures responsible for gender bias in BERT and DistilBERT. CoRR abs/2401.06495 (2024) - [i11]Paul Krzakala, Junjie Yang, Rémi Flamary, Florence d'Alché-Buc, Charlotte Laclau, Matthieu Labeau:
End-to-end Supervised Prediction of Arbitrary-size Graphs with Partially-Masked Fused Gromov-Wasserstein Matching. CoRR abs/2402.12269 (2024) - 2023
- [c15]Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Rémi Emonet, Christophe Gravier:
Fair Text Classification with Wasserstein Independence. EMNLP 2023: 15790-15803 - [c14]Manvi Choudhary, Antoine Gourru, Charlotte Laclau, Christine Largeron:
Comment rendre un GNN plus équitable pour la prédiction de liens ? EGC 2023: 127-138 - [c13]Raphaël Chevasson, Charlotte Laclau, Christophe Gravier:
Diverse Paraphrasing with Insertion Models for Few-Shot Intent Detection. IDA 2023: 65-76 - [c12]Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Christophe Gravier:
An Investigation of Structures Responsible for Gender Bias in BERT and DistilBERT. IDA 2023: 249-261 - [i10]Quentin Bouniot, Ievgen Redko, Anton Mallasto, Charlotte Laclau, Karol Arndt, Oliver Struckmeier, Markus Heinonen, Ville Kyrki, Samuel Kaski:
Understanding deep neural networks through the lens of their non-linearity. CoRR abs/2310.11439 (2023) - [i9]Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Rémi Emonet, Christophe Gravier:
Fair Text Classification with Wasserstein Independence. CoRR abs/2311.12689 (2023) - 2022
- [c11]Julien Tissier, Charlotte Laclau:
Understanding the Benefits of Forgetting When Learning on Dynamic Graphs. ECML/PKDD (2) 2022: 37-52 - [i8]Aleksandra Burashnikova, Yury Maximov, Marianne Clausel, Charlotte Laclau, Franck Iutzeler, Massih-Reza Amini:
Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Extended Abstract). CoRR abs/2202.13240 (2022) - [i7]Manvi Choudhary, Charlotte Laclau, Christine Largeron:
A Survey on Fairness for Machine Learning on Graphs. CoRR abs/2205.05396 (2022) - 2021
- [j5]Sumit Sidana, Mikhail Trofimov, Oleh Horodnytskyi, Charlotte Laclau, Yury Maximov, Massih-Reza Amini:
User preference and embedding learning with implicit feedback for recommender systems. Data Min. Knowl. Discov. 35(2): 568-592 (2021) - [j4]Aleksandra Burashnikova, Yury Maximov, Marianne Clausel, Charlotte Laclau, Franck Iutzeler, Massih-Reza Amini:
Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation. J. Artif. Intell. Res. 71: 121-142 (2021) - [c10]Nina Vesseron, Ievgen Redko, Charlotte Laclau:
Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond. AISTATS 2021: 1765-1773 - [c9]Charlotte Laclau, Ievgen Redko, Manvi Choudhary, Christine Largeron:
All of the Fairness for Edge Prediction with Optimal Transport. AISTATS 2021: 1774-1782 - 2020
- [i6]Charlotte Laclau, Franck Iutzeler, Ievgen Redko:
Rank-one partitioning: formalization, illustrative examples, and a new cluster enhancing strategy. CoRR abs/2009.00365 (2020) - [i5]Nina Vesseron, Ievgen Redko, Charlotte Laclau:
Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond. CoRR abs/2010.11024 (2020) - [i4]Charlotte Laclau, Ievgen Redko, Manvi Choudhary, Christine Largeron:
All of the Fairness for Edge Prediction with Optimal Transport. CoRR abs/2010.16326 (2020) - [i3]Aleksandra Burashnikova, Marianne Clausel, Charlotte Laclau, Frack Iutzeller, Yury Maximov, Massih-Reza Amini:
Learning over no-Preferred and Preferred Sequence of items for Robust Recommendation. CoRR abs/2012.06910 (2020)
2010 – 2019
- 2019
- [j3]Charlotte Laclau, Vincent Brault:
Noise-free latent block model for high dimensional data. Data Min. Knowl. Discov. 33(2): 446-473 (2019) - [c8]Ievgen Redko, Charlotte Laclau:
On Fair Cost Sharing Games in Machine Learning. AAAI 2019: 4790-4797 - 2018
- [c7]Georgios Balikas, Charlotte Laclau, Ievgen Redko, Massih-Reza Amini:
Cross-Lingual Document Retrieval Using Regularized Wasserstein Distance. ECIR 2018: 398-410 - [c6]Sumit Sidana, Charlotte Laclau, Massih-Reza Amini:
Learning to recommend diverse items over implicit feedback on PANDOR. RecSys 2018: 427-431 - [d2]Massih-Reza Amini, Charlotte Laclau, Sumit Sidana:
PANDOR. UCI Machine Learning Repository, 2018
- [i2]Georgios Balikas, Charlotte Laclau, Ievgen Redko, Massih-Reza Amini:
Cross-lingual Document Retrieval using Regularized Wasserstein Distance. CoRR abs/1805.04437 (2018) - 2017
- [j2]Charlotte Laclau, Mohamed Nadif:
Diagonal latent block model for binary data. Stat. Comput. 27(5): 1145-1163 (2017) - [c5]Charlotte Laclau, Ievgen Redko, Basarab Matei, Younès Bennani, Vincent Brault:
Co-clustering through Optimal Transport. ICML 2017: 1955-1964 - [c4]Sumit Sidana, Charlotte Laclau, Massih-Reza Amini, Gilles Vandelle, André Bois-Crettez:
KASANDR: A Large-Scale Dataset with Implicit Feedback for Recommendation. SIGIR 2017: 1245-1248 - [d1]Sumit Sidana, Charlotte Laclau, Massih-Reza Amini:
KASANDR. UCI Machine Learning Repository, 2017 - [i1]Mikhail Trofimov, Sumit Sidana, Oleh Horodnitskii, Charlotte Laclau, Yury Maximov, Massih-Reza Amini:
Representation Learning and Pairwise Ranking for Implicit and Explicit Feedback in Recommendation Systems. CoRR abs/1705.00105 (2017) - 2016
- [j1]Charlotte Laclau, Mohamed Nadif:
Hard and fuzzy diagonal co-clustering for document-term partitioning. Neurocomputing 193: 133-147 (2016) - 2015
- [c3]Charlotte Laclau, Francisco de A. T. de Carvalho, Mohamed Nadif:
Fuzzy co-clustering with automated variable weighting. FUZZ-IEEE 2015: 1-8 - [c2]Charlotte Laclau, Mohamed Nadif:
Diagonal Co-clustering Algorithm for Document-Word Partitioning. IDA 2015: 170-180 - 2014
- [c1]Charlotte Laclau, Mohamed Nadif:
Fast Simultaneous Clustering and Feature Selection for Binary Data. IDA 2014: 192-202
Coauthor Index
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last updated on 2024-10-04 21:03 CEST by the dblp team
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