#gaussian-process News & Analysis

2 articles tagged with #gaussian-process. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · Jun 236/10

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Interpretable Probabilistic Medical Image Segmentation via Gaussian Process with Explicit Modelling of Annotation Bias and Variability

Researchers propose a novel Gaussian Process-based framework for medical image segmentation that explicitly models annotation bias and variability across multiple raters rather than encoding them implicitly. The approach improves uncertainty calibration in probabilistic predictions while maintaining segmentation accuracy, with quantifiable parameters reflecting individual annotator behavior.

AINeutralarXiv – CS AI · Jun 86/10

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GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection

Researchers introduce GP-Adapter, a training-free framework combining CLIP with Gaussian Process uncertainty modeling to improve few-shot classification and out-of-distribution detection. The approach maintains CLIP's frozen backbone while adding probabilistic inference capabilities, requiring minimal computational overhead and achieving competitive performance on multiple benchmarks.