Weng, Nina

5 publications

ICLR 2026 Patronus: Interpretable Diffusion Models with Prototypes Nina Weng, Aasa Feragen, Siavash Bigdeli

MIDL 2026 SEG4SEG: Identifying Systematic Failure Modes in Segmentation by Subgroup Discovery Methods Nina Weng, Eike Petersen, Alceu Bissoto, Susu Sun, Lisa M. Koch, Aasa Feragen, Siavash Bigdeli, Christian F. Baumgartner

MIDL 2026 Weight Space Correlation Analysis: Quantifying Feature Utilization in Deep Learning Models Chun Kit Wong, Paraskevas Pegios, Nina Weng, Emilie Pi Fogtmann Sejer, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen

ECCV 2024 Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation Nina Weng, Paraskevas Pegios, Eike Petersen, Aasa Feragen, Siavash Arjomand Bigdeli

ECCVW 2024 Generalizing Fairness to Generative Language Models via Reformulation of Non-Discrimination Criteria Sara Sterlie, Nina Weng, Aasa Feragen