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#cellular-sheaves News & Analysis

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

2 articles
AIBullisharXiv – CS AI · Jun 26/10
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Aligning Cellular Sheaves with Classifier Attention for Interpretable Weakly-Supervised Pathology Localization

Researchers propose a novel approach combining cellular sheaves with attention-based multiple instance learning to improve interpretability in weakly-supervised pathology image classification. The method achieves 0.940 patch-level AUC on Camelyon16 and successfully aligns attention maps with diagnostic regions, addressing a critical gap where models classify correctly without focusing on actual lesions.

AINeutralarXiv – CS AI · May 96/10
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Consistent Geometric Deep Learning via Hilbert Bundles and Cellular Sheaves

Researchers introduce HilbNets, a novel deep learning framework that handles infinite-dimensional signals (like time series and probability distributions) on irregular domains using Hilbert bundles and cellular sheaves. The work provides theoretical convergence guarantees and demonstrates that discretized networks maintain consistency across different data sampling schemes, advancing geometric deep learning theory.