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Darren Lo

1 accepted papers

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…

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