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Neural Tangent Kernel: Convergence and Generalization in Neural Networks

v1v2v3v4 (latest)

Neural Tangent Kernel: Convergence and Generalization in Neural Networks

20 June 2018

Clément Hongler

ArXiv (abs)PDF HTML

Papers citing "Neural Tangent Kernel: Convergence and Generalization in Neural Networks"

50 / 2,412 papers shown

Spectral Bottleneck in Sinusoidal Representation Networks: Noise is All You Need

Spectral Bottleneck in Sinusoidal Representation Networks: Noise is All You Need

Hemanth Chandravamsi

Dhanush V. Shenoy

Steven H. Frankel

Steven H. Frankel

158

1

0

24 Dec 2025

Gradient Descent with Provably Tuned Learning-rate Schedules

Gradient Descent with Provably Tuned Learning-rate Schedules

Dravyansh Sharma

153

0

0

04 Dec 2025

Data Curation Through the Lens of Spectral Dynamics: Static Limits, Dynamic Acceleration, and Practical Oracles

Data Curation Through the Lens of Spectral Dynamics: Static Limits, Dynamic Acceleration, and Practical Oracles

132

0

0

02 Dec 2025

The Spectral Dimension of NTKs is Constant: A Theory of Implicit Regularization, Finite-Width Stability, and Scalable Estimation

Praveen Anilkumar Shukla

8

0

0

30 Nov 2025

Efficiently Learning Branching Networks for Multitask Algorithmic Reasoning

Efficiently Learning Branching Networks for Multitask Algorithmic Reasoning

Hongyang R. Zhang

82

0

0

30 Nov 2025

Mode-Conditioning Unlocks Superior Test-Time Scaling

Mode-Conditioning Unlocks Superior Test-Time Scaling

Aditi Raghunathan

162

0

0

30 Nov 2025

Dynamical Implicit Neural Representations

Dynamical Implicit Neural Representations

58

0

0

26 Nov 2025

Which Layer Causes Distribution Deviation? Entropy-Guided Adaptive Pruning for Diffusion and Flow Models

Which Layer Causes Distribution Deviation? Entropy-Guided Adaptive Pruning for Diffusion and Flow Models

261

0

0

26 Nov 2025

Scalable Data Attribution via Forward-Only Test-Time Inference

Scalable Data Attribution via Forward-Only Test-Time Inference

280

0

0

25 Nov 2025

Deep Learning as a Convex Paradigm of Computation: Minimizing Circuit Size with ResNets

Deep Learning as a Convex Paradigm of Computation: Minimizing Circuit Size with ResNets

105

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0

25 Nov 2025

Beyond Reward Margin: Rethinking and Resolving Likelihood Displacement in Diffusion Models via Video Generation

Beyond Reward Margin: Rethinking and Resolving Likelihood Displacement in Diffusion Models via Video Generation

Tianxiang Zheng

159

0

0

24 Nov 2025

SineProject: Machine Unlearning for Stable Vision Language Alignment

SineProject: Machine Unlearning for Stable Vision Language Alignment

Hemanth Saratchandran

226

0

0

23 Nov 2025

From Tables to Signals: Revealing Spectral Adaptivity in TabPFN

From Tables to Signals: Revealing Spectral Adaptivity in TabPFN

Hemanth Saratchandran

117

0

0

23 Nov 2025

Fermions and Supersymmetry in Neural Network Field Theories

Fermions and Supersymmetry in Neural Network Field TheoriesChemical Science (Chem. Sci.), 2025

James Halverson

101

3

0

20 Nov 2025

NTK-Guided Implicit Neural Teaching

NTK-Guided Implicit Neural Teaching

211

0

0

19 Nov 2025

Data Value in the Age of Scaling: Understanding LLM Scaling Dynamics Under Real-Synthetic Data Mixtures

Data Value in the Age of Scaling: Understanding LLM Scaling Dynamics Under Real-Synthetic Data Mixtures

...

Balaji Veeramani

157

0

0

17 Nov 2025

Consistency Change Detection Framework for Unsupervised Remote Sensing Change Detection

Consistency Change Detection Framework for Unsupervised Remote Sensing Change DetectionIEEE International Conference on Multimedia and Expo (ICME), 2025

77

0

0

12 Nov 2025

A Generalized Spectral Framework to Expain Neural Scaling and Compression Dynamics

A Generalized Spectral Framework to Expain Neural Scaling and Compression Dynamics

132

3

0

11 Nov 2025

When Bias Pretends to Be Truth: How Spurious Correlations Undermine Hallucination Detection in LLMs

When Bias Pretends to Be Truth: How Spurious Correlations Undermine Hallucination Detection in LLMs

322

0

0

10 Nov 2025

Selecting Auxiliary Data via Neural Tangent Kernels for Low-Resource Domains

Selecting Auxiliary Data via Neural Tangent Kernels for Low-Resource Domains

128

1

0

10 Nov 2025

Understanding the role of depth in the neural tangent kernel for overparameterized neural networks

Understanding the role of depth in the neural tangent kernel for overparameterized neural networks

William St-Arnaud

Margarida Carvalho

101

0

0

10 Nov 2025

How Wide and How Deep? Mitigating Over-Squashing of GNNs via Channel Capacity Constrained Estimation

How Wide and How Deep? Mitigating Over-Squashing of GNNs via Channel Capacity Constrained Estimation

124

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0

09 Nov 2025

Scaling Laws and In-Context Learning: A Unified Theoretical Framework

Scaling Laws and In-Context Learning: A Unified Theoretical Framework

103

0

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09 Nov 2025

Linear Gradient Prediction with Control Variates

Linear Gradient Prediction with Control Variates

Nicolò Felicioni

Juan Elenter Litwin

124

0

0

07 Nov 2025

Deep Progressive Training: scaling up depth capacity of zero/one-layer models

Deep Progressive Training: scaling up depth capacity of zero/one-layer models

129

0

0

07 Nov 2025

Online Conformal Inference with Retrospective Adjustment for Faster Adaptation to Distribution Shift

Online Conformal Inference with Retrospective Adjustment for Faster Adaptation to Distribution Shift

109

0

0

06 Nov 2025

Depth-induced NTK: Bridging Over-parameterized Neural Networks and Deep Neural Kernels

Depth-induced NTK: Bridging Over-parameterized Neural Networks and Deep Neural Kernels

131

1

0

05 Nov 2025

A general technique for approximating high-dimensional empirical kernel matrices

A general technique for approximating high-dimensional empirical kernel matrices

Chiraag Kaushik

Vidya Muthukumar

133

0

0

05 Nov 2025

Condition Numbers and Eigenvalue Spectra of Shallow Networks on Spheres

Condition Numbers and Eigenvalue Spectra of Shallow Networks on Spheres

167

0

0

04 Nov 2025

Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning

Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning

153

0

0

04 Nov 2025

The Curvature Rate λ: A Scalar Measure of Input-Space Sharpness in Neural Networks

The Curvature Rate λ: A Scalar Measure of Input-Space Sharpness in Neural Networks

174

0

0

03 Nov 2025

Path-Coordinated Continual Learning with Neural Tangent Kernel-Justified Plasticity: A Theoretical Framework with Near State-of-the-Art Performance

Path-Coordinated Continual Learning with Neural Tangent Kernel-Justified Plasticity: A Theoretical Framework with Near State-of-the-Art Performance

Rathin Chandra Shit

253

2

0

03 Nov 2025

A Proof of Learning Rate Transfer under $μ$P

A Proof of Learning Rate Transfer under

μ

115

1

0

03 Nov 2025

A DeepONet joint Neural Tangent Kernel Hybrid Framework for Physics-Informed Inverse Source Problems and Robust Image Reconstruction

A DeepONet joint Neural Tangent Kernel Hybrid Framework for Physics-Informed Inverse Source Problems and Robust Image Reconstruction

221

0

0

01 Nov 2025

SHAP values through General Fourier Representations: Theory and Applications

SHAP values through General Fourier Representations: Theory and Applications

Roberto Morales

81

0

0

31 Oct 2025

Uncertainty-Aware Diagnostics for Physics-Informed Machine Learning

Uncertainty-Aware Diagnostics for Physics-Informed Machine Learning

Liam Hodgkinson

Michael W. Mahoney

327

0

0

30 Oct 2025

Generative Bayesian Optimization: Generative Models as Acquisition Functions

Generative Bayesian Optimization: Generative Models as Acquisition Functions

Rafael Oliveira

Daniel M. Steinberg

122

0

0

29 Oct 2025

Causal Convolutional Neural Networks as Finite Impulse Response Filters

Causal Convolutional Neural Networks as Finite Impulse Response Filters

98

0

0

28 Oct 2025

Eigenfunction Extraction for Ordered Representation Learning

Eigenfunction Extraction for Ordered Representation Learning

Nicholas M. Boffi

Pradeep Ravikumar

117

0

0

28 Oct 2025

Block Coordinate Descent for Neural Networks Provably Finds Global Minima

Block Coordinate Descent for Neural Networks Provably Finds Global Minima

134

2

0

26 Oct 2025

Self-diffusion for Solving Inverse Problems

Self-diffusion for Solving Inverse Problems

157

1

0

24 Oct 2025

Neural Collapse under Gradient Flow on Shallow ReLU Networks for Orthogonally Separable Data

Neural Collapse under Gradient Flow on Shallow ReLU Networks for Orthogonally Separable Data

163

0

0

24 Oct 2025

Convergence of Stochastic Gradient Langevin Dynamics in the Lazy Training Regime

Convergence of Stochastic Gradient Langevin Dynamics in the Lazy Training Regime

235

0

0

24 Oct 2025

Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization

Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization

Antônio H. Ribeiro

David Vävinggren

Thomas B. Schon

133

0

0

23 Oct 2025

No Intelligence Without Statistics: The Invisible Backbone of Artificial Intelligence

No Intelligence Without Statistics: The Invisible Backbone of Artificial Intelligence

87

0

0

22 Oct 2025

Iterative Training of Physics-Informed Neural Networks with Fourier-enhanced Features

Iterative Training of Physics-Informed Neural Networks with Fourier-enhanced Features

Karl H.Johansson

Matthieu Barreau

126

0

0

22 Oct 2025

A Derandomization Framework for Structure Discovery: Applications in Neural Networks and Beyond

A Derandomization Framework for Structure Discovery: Applications in Neural Networks and Beyond

Nikos Tsikouras

Ioannis Mitliagkas

Christos Tzamos

174

0

0

22 Oct 2025

Weight Decay may matter more than muP for Learning Rate Transfer in Practice

Weight Decay may matter more than muP for Learning Rate Transfer in Practice

116

4

0

21 Oct 2025

NTKMTL: Mitigating Task Imbalance in Multi-Task Learning from Neural Tangent Kernel Perspective

NTKMTL: Mitigating Task Imbalance in Multi-Task Learning from Neural Tangent Kernel Perspective

128

0

0

21 Oct 2025

Position: Many generalization measures for deep learning are fragile

Position: Many generalization measures for deep learning are fragile

283

0

0

21 Oct 2025

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