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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