Feragen, Aasa

19 publications

TMLR 2026 Mixtures of Locally Bounded Langevin Dynamics for Bayesian Model Averaging Kilian Zepf, Tareen Dawood, Aasa Feragen, Ender Konukoglu

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

NeurIPSW 2024 Counterfactual Explanations via Riemannian Latent Space Traversal Paraskevas Pegios, Aasa Feragen, Andreas Abildtrup Hansen, Georgios Arvanitidis

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

ICML 2024 Interpreting Equivariant Representations Andreas Abildtrup Hansen, Anna Calissano, Aasa Feragen

ICLR 2023 That Label's Got Style: Handling Label Style Bias for Uncertain Image Segmentation Kilian Zepf, Eike Petersen, Jes Frellsen, Aasa Feragen

ECCV 2022 diffConv: Analyzing Irregular Point Clouds with an Irregular View Manxi Lin, Aasa Feragen

NeurIPS 2021 Spot the Difference: Detection of Topological Changes via Geometric Alignment Per Steffen Czolbe, Aasa Feragen, Oswin Krause

AISTATS 2019 Probabilistic Riemannian Submanifold Learning with Wrapped Gaussian Process Latent Variable Models Anton Mallasto, Søren Hauberg, Aasa Feragen

CVPR 2018 Wrapped Gaussian Process Regression on Riemannian Manifolds Anton Mallasto, Aasa Feragen

NeurIPS 2017 Learning from Uncertain Curves: The 2-Wasserstein Metric for Gaussian Processes Anton Mallasto, Aasa Feragen

COLT 2016 Open Problem: Kernel Methods on Manifolds and Metric Spaces. What Is the Probability of a Positive Definite Geodesic Exponential Kernel? Aasa Feragen, Søren Hauberg

CVPR 2015 Geodesic Exponential Kernels: When Curvature and Linearity Conflict Aasa Feragen, Francois Lauze, Soren Hauberg

CVPR 2014 Grassmann Averages for Scalable Robust PCA Soren Hauberg, Aasa Feragen, Michael J. Black

NeurIPS 2013 Scalable Kernels for Graphs with Continuous Attributes Aasa Feragen, Niklas Kasenburg, Jens Petersen, Marleen de Bruijne, Karsten Borgwardt

ICCV 2011 Means in Spaces of Tree-like Shapes Aasa Feragen, Søren Hauberg, Mads Nielsen, François Lauze