| Debayes: a Bayesian Method for Debiasing Network Embeddings M Buyl, T De Bie International Conference on Machine Learning, 1220-1229, 2020 | 104 | 2020 |
| Inherent Limitations of AI Fairness M Buyl, T De Bie Communications of the ACM 67 (2), 48-55, 2024 | 70 | 2024 |
| Large language models reflect the ideology of their creators M Buyl, A Rogiers, S Noels, G Bied, I Dominguez-Catena, E Heiter, ... npj Artificial Intelligence 2 (1), 7, 2026 | 67* | 2026 |
| Tackling algorithmic disability discrimination in the hiring process: An ethical, legal and technical analysis M Buyl, C Cociancig, C Frattone, N Roekens Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 57 | 2022 |
| Persuasion with large language models: a survey A Rogiers, S Noels, M Buyl, T De Bie arXiv preprint arXiv:2411.06837, 2024 | 43 | 2024 |
| The KL-Divergence between a Graph Model and its Fair I-Projection as a Fairness Regularizer M Buyl, T De Bie Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 36 | 2021 |
| Optimal Transport of Classifiers to Fairness M Buyl, T De Bie Advances in Neural Information Processing Systems 35, 33728–33740, 2022 | 24 | 2022 |
| RankFormer: Listwise learning-to-rank using listwide labels M Buyl, P Missault, PA Sondag Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 19 | 2023 |
| AI Alignment at Your Discretion M Buyl, H Khalaf, C Mayrink Verdun, L Monteiro Paes, ... Proceedings of the 2025 ACM Conference on Fairness, Accountability, and …, 2025 | 11 | 2025 |
| ABCFair: an Adaptable Benchmark approach for Comparing Fairness methods MB Defrance, M Buyl, T De Bie Advances in Neural Information Processing Systems 37, 2024 | 8 | 2024 |
| fairret: a Framework for Differentiable Fairness Regularization Terms M Buyl, MB Defrance, T De Bie The Twelfth International Conference on Learning Representations, 2024 | 6 | 2024 |
| What large language models do not talk about: An empirical study of moderation and censorship practices S Noels, G Bied, M Buyl, A Rogiers, Y Fettach, J Lijffijt, T De Bie Joint European Conference on Machine Learning and Knowledge Discovery in …, 2025 | 5 | 2025 |
| BiMi Sheets: Infosheets for bias mitigation methods MB Defrance, G Bied, M Buyl, J Lijffijt, T De Bie arXiv preprint arXiv:2505.22114, 2025 | 2 | 2025 |
| Biased Heritage: How Datasets Shape Models in Facial Expression Recognition I Dominguez-Catena, D Paternain, M Galar, MB Defrance, M Buyl, ... arXiv preprint arXiv:2503.03446, 2025 | 2 | 2025 |
| Building and Measuring Trust between Large Language Models M Buyl, Y Fettach, G Bied, T De Bie arXiv preprint arXiv:2508.15858, 2025 | 1 | 2025 |
| Ministral 3 AH Liu, K Khandelwal, S Subramanian, V Jouault, A Rastogi, A Sadé, ... arXiv preprint arXiv:2601.08584, 2026 | | 2026 |
| ProbLog4Fairness: A Neurosymbolic Approach to Modeling and Mitigating Bias R Adriaensen, L Van Praet, J Bekker, R Manhaeve, P Delobelle, M Buyl arXiv preprint arXiv:2511.09768, 2025 | | 2025 |
| KamerRaad: Enhancing Information Retrieval in Belgian National Politics Through Hierarchical Summarization and Conversational Interfaces A Rogiers, M Buyl, B Kang, T De Bie Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | | 2024 |
| Exploring the Performance of Continuous-Time Dynamic Link Prediction Algorithms R Romero, M Buyl, T De Bie, J Lijffijt Applied Sciences 14 (8), 3516, 2024 | | 2024 |
| Fairness regularization in machine learning: methods and limitations M Buyl Ghent University, 2023 | | 2023 |
Tijl De BieFull Professor, Ghent UniversityVerified email at ugent.be
