"Position: An Inner Interpretability Framework for AI Inspired by Lessons ..."

Martina G. Vilas et al. (2024)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2024-09-02

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  - electronic edition @ openreview.net (open access)
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  - conf/icml/VilasAPR24
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  - https://dblp.org/rec/conf/icml/VilasAPR24
Martina G. Vilas, Federico Adolfi, David Poeppel, Gemma Roig:
Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience. ICML 2024

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