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Mechanistic understanding and validation of large AI models with SemanticLens

Mechanistic understanding and validation of large AI models with SemanticLens

10 January 2025
Maximilian Dreyer
J. Berend
Tobias Labarta
Johanna Vielhaben
Thomas Wiegand
Sebastian Lapuschkin
Wojciech Samek
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Papers citing "Mechanistic understanding and validation of large AI models with SemanticLens"

3 / 3 papers shown
Title
Relevance-driven Input Dropout: an Explanation-guided Regularization Technique
Relevance-driven Input Dropout: an Explanation-guided Regularization Technique
Shreyas Gururaj
Lars Grüne
Wojciech Samek
Sebastian Lapuschkin
Leander Weber
90
0
0
27 May 2025
From What to How: Attributing CLIP's Latent Components Reveals Unexpected Semantic Reliance
From What to How: Attributing CLIP's Latent Components Reveals Unexpected Semantic Reliance
Maximilian Dreyer
Lorenz Hufe
J. Berend
Thomas Wiegand
Sebastian Lapuschkin
Wojciech Samek
22
0
0
26 May 2025
FADE: Why Bad Descriptions Happen to Good Features
FADE: Why Bad Descriptions Happen to Good Features
Bruno Puri
Aakriti Jain
Elena Golimblevskaia
Patrick Kahardipraja
Thomas Wiegand
Wojciech Samek
Sebastian Lapuschkin
191
0
0
24 Feb 2025
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