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Entries tagged :: machine-learning.
  • 2026-07-04

    Beyond Fourier: Wavelets and a Crash Course on Wavelet Neural Operators

    Part 3 of a series on the Fourier transform: the time-frequency tradeoff, multiresolution analysis, and training a minimal wavelet neural operator on Burgers' equation in JAX.
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  • 2026-06-14

    Graph Diffusion for Payment-Integrity Risk Scoring

    Inside a synthetic-data prototype that scores public-finance payments for fraud risk: a JAX logistic regression classifier, an anomaly detector, and a graph-diffusion 'guilt by association' feature -- with the spectral math and the plots that come out of it.
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