Investigating how similarity in information shapes representations and how latent cause inference can both result in generalization and memory failures in humans and AI.
Understanding how context, sequences, curriculum shape, and existing representations shape new representations.
Read MoreInvestigating false memories in humans and hallucinations in AI arising from representational geometry and latent causal inference.
Read MoreDeveloping methods to predict and prevent agent derailment from task goals using information-theoretic signatures.
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