Boris van Breugel

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 22

Top Topics

Real Image Data

Diffusion Models

Top Venues

Publications

Boris van Breugel, Mihaela van der Schaar
Why Tabular Foundation Models Should Be a Research Priority. CoRR (2024)
Yangming Li, Boris van Breugel, Mihaela van der Schaar
Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models. ICLR (2024)
Boris van Breugel, Jonathan Crabbé, Rob Davis, Mihaela van der Schaar
LaTable: Towards Large Tabular Models. CoRR (2024)
Boris van Breugel, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data. NeurIPS (2023)
Boris van Breugel, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data. CoRR (2023)
Hao Sun, Boris van Breugel, Jonathan Crabbé, Nabeel Seedat, Mihaela van der Schaar
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization. NeurIPS (2023)
Boris van Breugel, Hao Sun, Zhaozhi Qian, Mihaela van der Schaar
Membership Inference Attacks against Synthetic Data through Overfitting Detection. CoRR (2023)
Boris van Breugel, Mihaela van der Schaar
Beyond Privacy: Navigating the Opportunities and Challenges of Synthetic Data. CoRR (2023)
Boris van Breugel, Hao Sun, Zhaozhi Qian, Mihaela van der Schaar
Membership Inference Attacks against Synthetic Data through Overfitting Detection. AISTATS (2023)
Boris van Breugel, Zhaozhi Qian, Mihaela van der Schaar
Synthetic data, real errors: how (not) to publish and use synthetic data. CoRR (2023)
Boris van Breugel, Zhaozhi Qian, Mihaela van der Schaar
Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data. ICML (2023)
Nabeel Seedat, Nicolas Huynh, Boris van Breugel, Mihaela van der Schaar
Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in ultra low-data regimes. CoRR (2023)
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
RadEdit: stress-testing biomedical vision models via diffusion image editing. CoRR (2023)
Yangming Li, Boris van Breugel, Mihaela van der Schaar
Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models. CoRR (2023)
Tennison Liu, Alex J. Chan, Boris van Breugel, Mihaela van der Schaar
Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes. CoRR (2022)
Ahmed Alaa, Boris van Breugel, Evgeny S. Saveliev, Mihaela van der Schaar
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models. ICML (2022)
Hao Sun, Boris van Breugel, Jonathan Crabbé, Nabeel Seedat, Mihaela van der Schaar
DAUX: a Density-based Approach for Uncertainty eXplanations. CoRR (2022)
Daniel de Vassimon Manela, David Errington, Thomas Fisher, Boris van Breugel, Pasquale Minervini
Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models. EACL (2021)
Boris van Breugel, Trent Kyono, Jeroen Berrevoets, Mihaela van der Schaar
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks. CoRR (2021)
Ahmed M. Alaa, Boris van Breugel, Evgeny Saveliev, Mihaela van der Schaar
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models. CoRR (2021)
Daniel de Vassimon Manela, David Errington, Thomas Fisher, Boris van Breugel, Pasquale Minervini
Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models. CoRR (2021)
Boris van Breugel, Trent Kyono, Jeroen Berrevoets, Mihaela van der Schaar
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks. NeurIPS (2021)