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connecting dots between mathematics, machines, and the mind.

[iii] a ghost in the machine

uncovering how spectral outliers from low-rank structure rise above chaotic bulk dynamics in recurrent neural networks, and how these isolated eigenvalues can serve as early-warning signals for bifurcations in driven systems.

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[ii] the slow art of fast mixing

a closer look at canonical path theory, the justification for rapid mixing in high-dimensional Markov chains.

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[i] walking the quantum line

tracing the shared formalism between classical random walks and quantum evolution on graphs, revealing how diffusion and interference arise from a common linear backbone.

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