most citedIntegrative neurocybernetic modeling in the era of large-scale neuroscience

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cs.LG2026

Intuition vectors

Shahar Haim, Daniel C. McNamee

Large self-supervised vision models learn representations that support scene segmentation and the semantic decomposition of physical objects. We ask whether their representational…

cs.LG2026

Emergent Causal-Geometric Dynamics Across Depth in Large Language Models

Shahar Haim, Daniel C McNamee

Geometric analyses of large language model (LLM) representations reveal structured variation across depth but remain fundamentally correlational with respect to token prediction fo…