van Breugel, Boris

9 publications

ICML 2025 Position: All Current Generative Fidelity and Diversity Metrics Are Flawed Ossi Räisä, Boris Van Breugel, Mihaela Van Der Schaar

ICML 2024 Position: Why Tabular Foundation Models Should Be a Research Priority Boris Van Breugel, Mihaela Van Der Schaar

ECCV 2024 RadEdit: Stress-Testing Biomedical Vision Models via Diffusion Image Editing Fernando Pérez-García, Sam Bond-Taylor, Pedro Sanchez, Boris van Breugel, Daniel Coelho de Castro, Harshita Sharma, Valentina Salvatelli, Maria Teodora A Wetscherek, Hannah CM Richardson, Lungren Matthew, Aditya Nori, Javier Alvarez-Valle, Ozan Oktay, Maximilian Ilse

ICLR 2024 Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models Yangming Li, Boris van Breugel, Mihaela van der Schaar

NeurIPS 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

ICML 2023 Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data Boris Van Breugel, Zhaozhi Qian, Mihaela Van Der Schaar

NeurIPS 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

ICML 2022 How Faithful Is Your Synthetic Data? Sample-Level Metrics for Evaluating and Auditing Generative Models Ahmed Alaa, Boris Van Breugel, Evgeny S. Saveliev, Mihaela Schaar

NeurIPS 2021 DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks Boris van Breugel, Trent Kyono, Jeroen Berrevoets, Mihaela van der Schaar