Professor, University of Oxford
2 papers at NeurIPS 2025
We propose DIsoN, a decentralized method for out-of-distribution detection that enables a deployed model to directly compare incoming samples to the training data without data sharing.
DISCOVR is a self-supervised framework for echocardiography video representation learning that integrates spatial and temporal modeling, achieving strong generalization in anomaly detection, segmentation, and LVEF prediction.
