Associate Professor, Uppsala University
1 paper at NeurIPS 2025
The paper proposes AsymVLM - a probabilistic adaptation framework for vision–language models that models text uncertainty on the unit hypersphere, using spherical distributions to improve cross-modal retrieval and robust classification.
