Boris van Breugel

According to our database, Boris van Breugel authored at least 17 papers between 2021 and 2024.

Collaborative distances:

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

2024

LaTable: Towards Large Tabular Models.

Boris van Breugel, Jonathan Crabbé, Rob Davis, Mihaela van der Schaar

CoRR, 2024

Why Tabular Foundation Models Should Be a Research Priority.

Boris van Breugel, Mihaela van der Schaar

CoRR, 2024

Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes.

Nabeel Seedat, Nicolas Huynh, Boris van Breugel, Mihaela van der Schaar

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: Why Tabular Foundation Models Should Be a Research Priority.

Boris van Breugel, Mihaela van der Schaar

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models.

Yangming Li, Boris van Breugel, Mihaela van der Schaar

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

RadEdit: stress-testing biomedical vision models via diffusion image editing.

Fernando Pérez-García, Sam Bond-Taylor, Pedro P. Sanchez, Boris van Breugel, Daniel C. Castro, Harshita Sharma, Valentina Salvatelli, Maria T. A. Wetscherek, Hannah Richardson, Matthew P. Lungren, Aditya V. Nori, Javier Alvarez-Valle, Ozan Oktay, Maximilian Ilse

CoRR, 2023

Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in ultra low-data regimes.

Nabeel Seedat, Nicolas Huynh, Boris van Breugel, Mihaela van der Schaar

CoRR, 2023

Beyond Privacy: Navigating the Opportunities and Challenges of Synthetic Data.

Boris van Breugel, Mihaela van der Schaar

CoRR, 2023

What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization.

Hao Sun, Boris van Breugel, Jonathan Crabbé, Nabeel Seedat, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data.

Boris van Breugel, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data.

Boris van Breugel, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the International Conference on Machine Learning, 2023

Membership Inference Attacks against Synthetic Data through Overfitting Detection.

Boris van Breugel, Hao Sun, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes.

Tennison Liu, Alex J. Chan, Boris van Breugel, Mihaela van der Schaar

CoRR, 2022

DAUX: a Density-based Approach for Uncertainty eXplanations.

Hao Sun, Boris van Breugel, Jonathan Crabbé, Nabeel Seedat, Mihaela van der Schaar

CoRR, 2022

How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models.

Ahmed M. Alaa, Boris van Breugel, Evgeny S. Saveliev, Mihaela van der Schaar

Proceedings of the International Conference on Machine Learning, 2022

2021

DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks.

Boris van Breugel, Trent Kyono, Jeroen Berrevoets, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models.

Daniel de Vassimon Manela, David Errington, Thomas Fisher, Boris van Breugel, Pasquale Minervini

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021