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cs.CV2025
Explaining How Visual, Textual and Multimodal Encoders Share Concepts
Clément Cornet, Romaric Besançon, Hervé Le Borgne
Sparse autoencoders (SAEs) have emerged as a powerful technique for extracting human-interpretable features from neural networks activations. Previous works compared different mode…
cs.CV2024
Automatic Die Studies for Ancient Numismatics
Clément Cornet, Héloïse Aumaître, Romaric Besançon +3
Die studies are fundamental to quantifying ancient monetary production, providing insights into the relationship between coinage, politics, and history. The process requires tediou…