2 papers
stat.ME2026
Huber-Wasserstein barycenters for robust distribution-valued data
Carlos Cardoso-Perelló, Alberto González-Sanz
We propose a robust barycenter for distribution-valued data by incorporating the Huber loss directly into the optimal transport cost. In contrast to metric-space Huber means, which…
cs.RO2026
Collision Risk Estimation via Loss Prediction in End-to-End Autonomous Driving
Ziliang Xiong, Shipeng Liu, Nathaniel Helgesen +3
Collision risk estimation and avoidance play central roles in the safety of autonomous driving (AD) systems. Recently emerged end-to-end AD systems gain collision avoidance ability…