Maarten Buyl

32 papers A* 6Journal 19Unranked 7
YearRankTypeTitle / Venue / Authors
2026 A* conf
ProbLog4Fairness: A Neurosymbolic Approach to Modeling and Mitigating Bias.
AAAI
Rik Adriaensen, Lucas Van Praet, Jessa Bekker, Robin Manhaeve, Pieter Delobelle, Maarten Buyl
2025 — conf
ABCFair: an Adaptable Benchmark approach for Comparing Fairness methods.
EWAF
MaryBeth Defrance, Maarten Buyl, Tijl De Bie
2025 — conf
AI Alignment at Your Discretion.
FAccT
Maarten Buyl, Hadi Khalaf, Claudio Mayrink Verdun, Lucas Monteiro Paes, Caio Cesar Vieira Machado, Flávio du Pin Calmon
2025 J jnl
AI Alignment at Your Discretion.
CoRR
Maarten Buyl, Hadi Khalaf, Claudio Mayrink Verdun, Lucas Monteiro Paes, Caio Vieira Machado, Flávio P. Calmon
2025 J jnl
BiMi Sheets: Infosheets for bias mitigation methods.
CoRR
MaryBeth Defrance, Guillaume Bied, Maarten Buyl, Jefrey Lijffijt, Tijl De Bie
2025 J jnl
Biased Heritage: How Datasets Shape Models in Facial Expression Recognition.
CoRR
Iris Dominguez-Catena, Daniel Paternain, Mikel Galar, MaryBeth Defrance, Maarten Buyl, Tijl De Bie
2025 J jnl
Building and Measuring Trust between Large Language Models.
CoRR
Maarten Buyl, Yousra Fettach, Guillaume Bied, Tijl De Bie
2025 J jnl
ProbLog4Fairness: A Neurosymbolic Approach to Modeling and Mitigating Bias.
CoRR
Rik Adriaensen, Lucas Van Praet, Jessa Bekker, Robin Manhaeve, Pieter Delobelle, Maarten Buyl
2025 — conf
What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices.
ECML/PKDD (1)
Sander Noels, Guillaume Bied, Maarten Buyl, Alexander Rogiers, Yousra Fettach, Jefrey Lijffijt, Tijl De Bie
2025 J jnl
What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices.
CoRR
Sander Noels, Guillaume Bied, Maarten Buyl, Alexander Rogiers, Yousra Fettach, Jefrey Lijffijt, Tijl De Bie
2024 A* conf
ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods.
NeurIPS
MaryBeth Defrance, Maarten Buyl, Tijl De Bie
2024 J jnl
ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods.
CoRR
MaryBeth Defrance, Maarten Buyl, Tijl De Bie
2024 J jnl
Exploring the Performance of Continuous-Time Dynamic Link Prediction Algorithms.
CoRR
Raphaël Romero, Maarten Buyl, Tijl De Bie, Jefrey Lijffijt
2024 — conf
Fairret: a Flexible Pytorch Library for Fairness.
EWAF
MaryBeth Defrance, Maarten Buyl, Tijl De Bie
2024 J jnl
Inherent Limitations of AI Fairness.
Commun. ACM
Maarten Buyl, Tijl De Bie
2024 — conf
KamerRaad: Enhancing Information Retrieval in Belgian National Politics Through Hierarchical Summarization and Conversational Interfaces.
ECML/PKDD (8)
Alexander Rogiers, Maarten Buyl, Bo Kang, Tijl De Bie
2024 J jnl
KamerRaad: Enhancing Information Retrieval in Belgian National Politics through Hierarchical Summarization and Conversational Interfaces.
CoRR
Alexander Rogiers, Maarten Buyl, Bo Kang, Tijl De Bie
2024 J jnl
Large Language Models Reflect the Ideology of their Creators.
CoRR
Maarten Buyl, Alexander Rogiers, Sander Noels, Iris Dominguez-Catena, Edith Heiter, Raphaël Romero, Iman Johary, Alexandru Cristian Mara, Jefrey Lijffijt, Tijl De Bie
2024 J jnl
Persuasion with Large Language Models: a Survey.
CoRR
Alexander Rogiers, Sander Noels, Maarten Buyl, Tijl De Bie
2024 A* conf
fairret: a Framework for Differentiable Fairness Regularization Terms.
ICLR
Maarten Buyl, MaryBeth Defrance, Tijl De Bie
2023 A* conf
RankFormer: Listwise Learning-to-Rank Using Listwide Labels.
KDD
Maarten Buyl, Paul Missault, Pierre-Antoine Sondag
2023 J jnl
RankFormer: Listwise Learning-to-Rank Using Listwide Labels.
CoRR
Maarten Buyl, Paul Missault, Pierre-Antoine Sondag
2023 J jnl
fairret: a Framework for Differentiable Fairness Regularization Terms.
CoRR
Maarten Buyl, MaryBeth Defrance, Tijl De Bie
2022 J jnl
Inherent Limitations of AI Fairness.
CoRR
Maarten Buyl, Tijl De Bie
2022 J jnl
Optimal Transport of Binary Classifiers to Fairness.
CoRR
Maarten Buyl, Tijl De Bie
2022 A* conf
Optimal Transport of Classifiers to Fairness.
NeurIPS
Maarten Buyl, Tijl De Bie
2022 — conf
Tackling Algorithmic Disability Discrimination in the Hiring Process: An Ethical, Legal and Technical Analysis.
FAccT
Maarten Buyl, Christina Cociancig, Cristina Frattone, Nele Roekens
2022 J jnl
Tackling Algorithmic Disability Discrimination in the Hiring Process: An Ethical, Legal and Technical Analysis.
CoRR
Maarten Buyl, Christina Cociancig, Cristina Frattone, Nele Roekens
2021 — conf
The KL-Divergence Between a Graph Model and its Fair I-Projection as a Fairness Regularizer.
ECML/PKDD (2)
Maarten Buyl, Tijl De Bie
2021 J jnl
The KL-Divergence between a Graph Model and its Fair I-Projection as a Fairness Regularizer.
CoRR
Maarten Buyl, Tijl De Bie
2020 A* conf
DeBayes: a Bayesian Method for Debiasing Network Embeddings.
ICML
Maarten Buyl, Tijl De Bie
2020 J jnl
DeBayes: a Bayesian method for debiasing network embeddings.
CoRR
Maarten Buyl, Tijl De Bie