2026
SFBD-OMNI: Bridge models for lossy measurement restoration with limited clean samples
ICLR 2026poster
In many real-world scenarios, obtaining fully observed samples is prohibitively expensive or even infeasible, while partial and noisy observations are comparatively easy to collect. In this work, we study distribution restoration with abundant noisy samples, assuming the corruption process is availa…