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topological analysis

technology1 mentionslast seen Nov 4, 2026

Analysis technique that reveals patterns associated with class separation and feature disentanglement in neural networks.

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HOLEdepends ontopological analysis85% confidence1 source

topological analysis

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HOLEdepends ontopological analysis

85% confidence1 supporting mentions

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preprintarXivNov 3, 2026HOLE: Homological Observation of Latent Embeddings for Neural Network Interpretability
HOLE extracts topological features from intermediate activations and presents them using a suite of visualization techniques, including cluster flow diagrams, blob graphs, and heatmap dendrograms. These tools facilitate the examination of representation structure and quality across layers. We evaluate HOLE using a range of discriminative models, focusing on representation quality, interpretability across layers, and robustness to input perturbations and model compression. The results indicate that topological analysis reveals patterns