Charlotte Laclau

Orcid: 0000-0002-7389-3191

According to our database1, Charlotte Laclau authored at least 49 papers between 2014 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
MSAlign: Aligning Molecule and Mass Spectra Foundation Models for Metabolite Identification.
CoRR, May, 2026

Homophily-aware Supervised Contrastive Counterfactual Augmented Fair Graph Neural Network.
CoRR, April, 2026

How Predicted Links Influence Network Evolution: Disentangling Choice and Algorithmic Feedback in Dynamic Graphs.
CoRR, March, 2026

k-hop Fairness: Addressing Disparities in Graph Link Prediction Beyond First-Order Neighborhoods.
CoRR, March, 2026

TopoFair: Linking Topological Bias to Fairness in Link Prediction Benchmarks.
CoRR, February, 2026

Drop the Mask! GAMM - A Taxonomy for Graph Attributes Missing Mechanisms.
Proceedings of the Advances in Intelligent Data Analysis XXIV, 2026

2025
SimHawNet: a modified Hawkes process for temporal network simulation.
Data Min. Knowl. Discov., September, 2025

The quest for the GRAph Level autoEncoder (GRALE).
CoRR, May, 2025

Histoires Morales: A French Dataset for Assessing Moral Alignment.
CoRR, January, 2025

Fair Text Classification via Transferable Representations.
J. Mach. Learn. Res., 2025

Modeling Musical Genre Trajectories through Pathlet Learning.
Proceedings of the Adjunct Proceedings of the 33rd ACM Conference on User Modeling, 2025

HISTOIRESMORALES: Un jeu de données français pour évaluer l'alignement moral des modèles de langage.
Proceedings of the Actes des 32ème Conférence sur le Traitement Automatique des Langues Naturelles, 2025

HISTOIRESMORALES: A French Dataset for Assessing Moral Alignment.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Reconstruire l'invisible : GRIOT pour l'imputation des attributs dans les graphes par transport optimal.
Proceedings of the Extraction et Gestion des Connaissances, EGC 2025, 2025

Decoding the Hierarchy: A Hybrid Approach to Hierarchical Multi-label Text Classification.
Proceedings of the Advances in Information Retrieval, 2025

From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
End-to-end Supervised Prediction of Arbitrary-size Graphs with Partially-Masked Fused Gromov-Wasserstein Matching.
CoRR, 2024

Reconstructing the Unseen: GRIOT for Attributed Graph Imputation with Optimal Transport.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Variational Perspective on Fair Edge Prediction.
Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

A Study on Hierarchical Text Classification as a Seq2seq Task.
Proceedings of the Advances in Information Retrieval, 2024

2023
Understanding deep neural networks through the lens of their non-linearity.
CoRR, 2023

An Investigation of Structures Responsible for Gender Bias in BERT and DistilBERT.
Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

Diverse Paraphrasing with Insertion Models for Few-Shot Intent Detection.
Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

Comment rendre un GNN plus équitable pour la prédiction de liens ?
Proceedings of the Extraction et Gestion des Connaissances, 2023

Fair Text Classification with Wasserstein Independence.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
A Survey on Fairness for Machine Learning on Graphs.
CoRR, 2022

Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Extended Abstract).
CoRR, 2022

Understanding the Benefits of Forgetting When Learning on Dynamic Graphs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021
Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation.
J. Artif. Intell. Res., 2021

User preference and embedding learning with implicit feedback for recommender systems.
Data Min. Knowl. Discov., 2021

Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

All of the Fairness for Edge Prediction with Optimal Transport.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Learning over no-Preferred and Preferred Sequence of items for Robust Recommendation.
CoRR, 2020

Rank-one partitioning: formalization, illustrative examples, and a new cluster enhancing strategy.
CoRR, 2020

2019
Noise-free latent block model for high dimensional data.
Data Min. Knowl. Discov., 2019

On Fair Cost Sharing Games in Machine Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Learning to recommend diverse items over implicit feedback on PANDOR.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Cross-Lingual Document Retrieval Using Regularized Wasserstein Distance.
Proceedings of the Advances in Information Retrieval, 2018

2017

Diagonal latent block model for binary data.
Stat. Comput., 2017

Representation Learning and Pairwise Ranking for Implicit and Explicit Feedback in Recommendation Systems.
CoRR, 2017

KASANDR: A Large-Scale Dataset with Implicit Feedback for Recommendation.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Co-clustering through Optimal Transport.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Hard and fuzzy diagonal co-clustering for document-term partitioning.
Neurocomputing, 2016

2015
Diagonal Co-clustering Algorithm for Document-Word Partitioning.
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

Fuzzy co-clustering with automated variable weighting.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014
Fast Simultaneous Clustering and Feature Selection for Binary Data.
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014


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