Maarten Buyl

According to our database, Maarten Buyl authored at least 19 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Building and Measuring Trust between Large Language Models.

Maarten Buyl, Yousra Fettach, Guillaume Bied, Tijl De Bie

CoRR, August, 2025

BiMi Sheets: Infosheets for bias mitigation methods.

MaryBeth Defrance, Guillaume Bied, Maarten Buyl, Jefrey Lijffijt, Tijl De Bie

CoRR, May, 2025

Biased Heritage: How Datasets Shape Models in Facial Expression Recognition.

Iris Dominguez-Catena, Daniel Paternain, Mikel Galar, MaryBeth Defrance, Maarten Buyl, Tijl De Bie

CoRR, March, 2025

What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices.

Sander Noels, Guillaume Bied, Maarten Buyl, Alexander Rogiers, Yousra Fettach, Jefrey Lijffijt, Tijl De Bie

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

AI Alignment at Your Discretion.

Maarten Buyl, Hadi Khalaf, Claudio Mayrink Verdun, Lucas Monteiro Paes, Caio Cesar Vieira Machado, Flávio du Pin Calmon

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

2024

Inherent Limitations of AI Fairness.

Maarten Buyl, Tijl De Bie

Commun. ACM, February, 2024

Persuasion with Large Language Models: a Survey.

Alexander Rogiers, Sander Noels, Maarten Buyl, Tijl De Bie

CoRR, 2024

Large Language Models Reflect the Ideology of their Creators.

Maarten Buyl, Alexander Rogiers, Sander Noels, Iris Dominguez-Catena, Edith Heiter, Raphaël Romero, Iman Johary, Alexandru Cristian Mara, Jefrey Lijffijt, Tijl De Bie

CoRR, 2024

Exploring the Performance of Continuous-Time Dynamic Link Prediction Algorithms.

Raphaël Romero, Maarten Buyl, Tijl De Bie, Jefrey Lijffijt

CoRR, 2024

KamerRaad: Enhancing Information Retrieval in Belgian National Politics Through Hierarchical Summarization and Conversational Interfaces.

Alexander Rogiers, Maarten Buyl, Bo Kang, Tijl De Bie

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024

ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods.

MaryBeth Defrance, Maarten Buyl, Tijl De Bie

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

fairret: a Framework for Differentiable Fairness Regularization Terms.

Maarten Buyl, MaryBeth Defrance, Tijl De Bie

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Fairret: a Flexible Pytorch Library for Fairness.

MaryBeth Defrance, Maarten Buyl, Tijl De Bie

Proceedings of the 3rd European Workshop on Algorithmic Fairness, 2024

2023

RankFormer: Listwise Learning-to-Rank Using Listwide Labels.

Maarten Buyl, Paul Missault, Pierre-Antoine Sondag

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Optimal Transport of Binary Classifiers to Fairness.

Maarten Buyl, Tijl De Bie

CoRR, 2022

Optimal Transport of Classifiers to Fairness.

Maarten Buyl, Tijl De Bie

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Tackling Algorithmic Disability Discrimination in the Hiring Process: An Ethical, Legal and Technical Analysis.

Maarten Buyl, Christina Cociancig, Cristina Frattone, Nele Roekens

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

The KL-Divergence Between a Graph Model and its Fair I-Projection as a Fairness Regularizer.

Maarten Buyl, Tijl De Bie

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020

DeBayes: a Bayesian Method for Debiasing Network Embeddings.

Maarten Buyl, Tijl De Bie

Proceedings of the 37th International Conference on Machine Learning, 2020