| Stereotype and skew: Quantifying gender bias in pre-trained and fine-tuned language models D de Vassimon Manela, D Errington, T Fisher, B van Breugel, P Minervini EACL 2021-16th Conference of the European Chapter of the Association for …, 2021 | 24 | 2021 |
| How faithful is your synthetic data? sample-level metrics for evaluating and auditing generative models A Alaa, B Van Breugel, ES Saveliev, M van der Schaar International Conference on Machine Learning, 290-306, 2022 | 15 | 2022 |
| Decaf: Generating fair synthetic data using causally-aware generative networks B van Breugel, T Kyono, J Berrevoets, M van der Schaar Advances in Neural Information Processing Systems 34, 22221-22233, 2021 | 5* | 2021 |
| DAUX: a Density-based Approach for Uncertainty eXplanations H Sun, B van Breugel, J Crabbe, N Seedat, M van der Schaar arXiv preprint arXiv:2207.05161, 2022 | | 2022 |
| Latent Density Models for Uncertainty Categorization H Sun, B van Breugel, J Crabbé, N Seedat, M van der Schaar | | |
