mlsanityData to 14 Oct 2026

Spinning Conformal Correlators from Neural Networks

arXiv 2608.15001 ↗First posted 15 Aug 2026hep-th cs.LGcited by 1

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Abstract (arXiv)

We construct spinning conformal fields from neural networks and the embedding formalism, computing their two-, three- and four-point functions in examples, building on scalar conformal field techniques introduced in citeHalverson:2024axc. For a particular ensemble of i.i.d. neurons we recover the 4d Maxwell CFT in the infinite-width limit.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 21 of its 47 references that are in the map. First posted on arXiv 15 Aug 2026.

Builds on

21 of 47 references.

References · 21

  1. 2018Neural Tangent Kernel: Convergence and Generalization in Neural Networkscited by 2,621
  2. 2018Gaussian Process Behaviour in Wide Deep Neural Networkscited by 317
  3. 2018Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processescited by 167
  4. 2019Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processescited by 151
  5. 2020Tensor Programs II: Neural Tangent Kernel for Any Architecturecited by 143
  6. 2018Deep Convolutional Networks as shallow Gaussian Processescited by 138
  7. 2020Infinite attention: NNGP and NTK for deep attention networkscited by 121
  8. 2020Neural Networks and Quantum Field Theorycited by 61
  9. 2021Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlatorscited by 29
  10. 2021Building Quantum Field Theories Out of Neuronscited by 28
  11. 2023Neural Network Field Theories: Non-Gaussianity, Actions, and Localitycited by 22
  12. 2017A Correspondence Between Random Neural Networks and Statistical Field Theorycited by 14
9 more
  1. 2024Conformal Fields from Neural Networkscited by 11
  2. 2025Quantum Mechanics and Neural Networkscited by 7
  3. 2025Fermions and Supersymmetry in Neural Network Field Theoriescited by 6
  4. 2024TASI Lectures on Physics for Machine Learningcited by 5
  5. 2025Gauge-covariant stochastic neural fields: Stability and finite-width effectscited by 3
  6. 2025Conformal Defects in Neural Network Field Theoriescited by 3
  7. 2025Virasoro Symmetry in Neural Network Field Theoriescited by 3
  8. 2025Viability of perturbative expansion for quantum field theories on neuronscited by 2
  9. 2026Topological Effects in Neural Network Field Theorycited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026What Neural Network Field Theory Can and Cannot Realise on a Computercited by 0