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arXiv preprint arXiv:2508.00331 , year=

3 Pith papers cite this work. Polarity classification is still indexing.

3 Pith papers citing it

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2026 3

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There Will Be a Scientific Theory of Deep Learning

stat.ML · 2026-04-23 · unverdicted · novelty 2.0

A mechanics of the learning process is emerging in deep learning theory, characterized by dynamics, coarse statistics, and falsifiable predictions across idealized settings, limits, laws, hyperparameters, and universal behaviors.

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Showing 3 of 3 citing papers.

  • Mechanistic Anomaly Detection via Functional Attribution cs.LG · 2026-04-21 · conditional · none · ref 69

    A grid-free attention-based deep learning model interpolates surface-level PM2.5 concentrations across the US using sparse sensor data and auxiliary geospatial features.

  • Susceptibilities and Patterning: A Primer on Linear Response in Bayesian Learning cs.LG · 2026-05-08 · unverdicted · none · ref 3

    Susceptibilities defined via posterior covariances serve as the Jacobian for mapping data distributions to structural coordinates in Bayesian learning, with pseudo-inverse solving for desired structural changes.

  • There Will Be a Scientific Theory of Deep Learning stat.ML · 2026-04-23 · unverdicted · none · ref 201

    A mechanics of the learning process is emerging in deep learning theory, characterized by dynamics, coarse statistics, and falsifiable predictions across idealized settings, limits, laws, hyperparameters, and universal behaviors.