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Paper Citation Record · LEDGER

Gaussian Process Behaviour in Wide Deep Neural Networks

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:1804.11271.

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pith.paper-citation-record.v1
1804.11271 v2

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measured 22 of 22 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:26:32.883984Z

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Source: pith, observed 2026-07-01T14:25:47.142336Z

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Pith citing papers

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The generalization error of random features regression: Precise asymptotics and double descent curve cites this paper.

The generalization error of random features regression: Precise asymptotics and double descent curve Gaussian Process Behaviour in Wide Deep Neural Networks

Reference 49

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Observation 2b8dcff3-2545-45ad-a1fd-a99fc8f50098 · inbound

Finite size corrections for neural network Gaussian processes cites this paper.

Finite size corrections for neural network Gaussian processes Gaussian Process Behaviour in Wide Deep Neural Networks

Reference 8

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Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective cites this paper.

Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective Gaussian Process Behaviour in Wide Deep Neural Networks

Reference 32

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The S-matrix bootstrap with neural optimizers I: zero double discontinuity cites this paper.

The S-matrix bootstrap with neural optimizers I: zero double discontinuity Gaussian Process Behaviour in Wide Deep Neural Networks

Reference 49

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Random weights of DNNs and emergence of fixed points cites this paper.

Random weights of DNNs and emergence of fixed points Gaussian Process Behaviour in Wide Deep Neural Networks

Reference 23

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Adaptive kernel predictors from feature-learning infinite limits of neural networks cites this paper.

Adaptive kernel predictors from feature-learning infinite limits of neural networks Gaussian Process Behaviour in Wide Deep Neural Networks

Reference 19

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GP-Recipe: Gaussian Process approximation to linear operations in numerical methods cites this paper.

GP-Recipe: Gaussian Process approximation to linear operations in numerical methods Gaussian Process Behaviour in Wide Deep Neural Networks

Reference 8

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Statistical Machine Learning for Astronomy -- A Textbook cites this paper.

Statistical Machine Learning for Astronomy -- A Textbook Gaussian Process Behaviour in Wide Deep Neural Networks

Reference 1963

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Criticality analysis of nuclear binding energy neural networks cites this paper.

Criticality analysis of nuclear binding energy neural networks Gaussian Process Behaviour in Wide Deep Neural Networks

Reference 27

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Viability of perturbative expansion for quantum field theories on neurons cites this paper.

Viability of perturbative expansion for quantum field theories on neurons Gaussian Process Behaviour in Wide Deep Neural Networks

Reference 26

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Simulation Priors for Data-Efficient Deep Learning cites this paper.

Simulation Priors for Data-Efficient Deep Learning Gaussian Process Behaviour in Wide Deep Neural Networks

Reference 44

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Stochastic Scaling Limits and Synchronization by Noise in Deep Transformer Models cites this paper.

Stochastic Scaling Limits and Synchronization by Noise in Deep Transformer Models Gaussian Process Behaviour in Wide Deep Neural Networks

Reference 17

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Optimal Architecture and Fundamental Bounds in Neural Network Field Theory cites this paper.

Optimal Architecture and Fundamental Bounds in Neural Network Field Theory Gaussian Process Behaviour in Wide Deep Neural Networks

Reference 23

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On the (In-)Security of the Shuffling Defense in the Transformer Secure Inference cites this paper.

On the (In-)Security of the Shuffling Defense in the Transformer Secure Inference Gaussian Process Behaviour in Wide Deep Neural Networks

Reference 59

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How Long Does Infinite Width Last? Signal Propagation in Long-Range Linear Recurrences cites this paper.

How Long Does Infinite Width Last? Signal Propagation in Long-Range Linear Recurrences Gaussian Process Behaviour in Wide Deep Neural Networks

Reference 28

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Fast Adversarial Attacks with Gradient Prediction cites this paper.

Fast Adversarial Attacks with Gradient Prediction Gaussian Process Behaviour in Wide Deep Neural Networks

Reference 7

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The Neural Tangent Kernel for Classification cites this paper.

The Neural Tangent Kernel for Classification Gaussian Process Behaviour in Wide Deep Neural Networks

Reference 5

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The Neural Tangent Kernel for Classification cites this paper.

The Neural Tangent Kernel for Classification Gaussian Process Behaviour in Wide Deep Neural Networks

Reference 5

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The Cost of Discretization in Functional Linear Regression: Minimax Rates and Adaptation cites this paper.

The Cost of Discretization in Functional Linear Regression: Minimax Rates and Adaptation Gaussian Process Behaviour in Wide Deep Neural Networks

Reference 88

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Why Post-Norm Transformers Collapse: Attention Amplification and Gradient Repair Failure cites this paper.

Why Post-Norm Transformers Collapse: Attention Amplification and Gradient Repair Failure Gaussian Process Behaviour in Wide Deep Neural Networks

Reference 9

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Why Post-Norm Transformers Collapse: Attention Amplification and Gradient Repair Failure cites this paper.

Why Post-Norm Transformers Collapse: Attention Amplification and Gradient Repair Failure Gaussian Process Behaviour in Wide Deep Neural Networks

Reference 9

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A Gaussian Process framework for constraining the nuclear equation of state from microscopic calculations with correlated uncertainties cites this paper.

A Gaussian Process framework for constraining the nuclear equation of state from microscopic calculations with correlated uncertainties Gaussian Process Behaviour in Wide Deep Neural Networks

Reference 51

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