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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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Baptiste Coulange

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Open access Aug 2026

Self-Supervised Feature Extraction for Domain-Specific Anomaly Detection with Normalizing Flows

This work investigates the use of a self-supervised feature extractor —a Masked Autoencoder (MAE)— to learn domain-specific features when the application domain differs significantly from ImageNet, and compute the resulting anomaly maps for each of them on concrete datasets.

Thibault Richard, Bruno Galerne, Y. Gousseau et al. · 0 citations

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