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Department of Computer Science, University of Manchester, Manchester, United Kingdom
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Uncertainty-aware reconstruction using a Gaussian process prior leads to a 21.9% improvement in endoscopic video restoration, enhancing clinical interpretability.
Modeling 10,000+ correlated outputs is now tractable: T-LVMOGP offers a scalable alternative to restrictive low-rank MOGPs by learning a flexible deep kernel in a shared embedding space.
