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Neural Tangent Kernel

NTK

233 papers tagged archive 2025-07-28

Introduced by Arthur Jacot et al. in Neural Tangent Kernel: Convergence and Generalization in Neural Networks

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

The archive carries no description for this method.

Papers archive 2025-07-28

30 shown of 233, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

• Neural Tangent Kernel Analysis to Probe Convergence in Physics-informed Neural Solvers: PIKANs vs. PINNs
  9 Jun 2025 · 0 repositories · arXiv:2506.07958
• GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection
  21 May 2025 · 0 repositories · arXiv:2505.16017
• Just One Layer Norm Guarantees Stable Extrapolation
  20 May 2025 · 0 repositories · arXiv:2505.14512
• Training NTK to Generalize with KARE
  16 May 2025 · 2 repositories · arXiv:2505.11347
• Precise gradient descent training dynamics for finite-width multi-layer neural networks
  8 May 2025 · 0 repositories · arXiv:2505.04898
• How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of Multigrid Parametric Encodings
  18 Apr 2025 · 0 repositories · arXiv:2504.13412
• Divergence of Empirical Neural Tangent Kernel in Classification Problems
  15 Apr 2025 · 0 repositories · arXiv:2504.11130
• Neural Tangent Kernel of Neural Networks with Loss Informed by Differential Operators
  14 Mar 2025 · 0 repositories · arXiv:2503.11029
• Determinant Estimation under Memory Constraints and Neural Scaling Laws
  6 Mar 2025 · 1 repository · arXiv:2503.04424
• MLPs at the EOC: Concentration of the NTK
  24 Jan 2025 · 0 repositories · arXiv:2501.14724
• MLPs at the EOC: Spectrum of the NTK
  22 Jan 2025 · 0 repositories · arXiv:2501.13225
• Issues with Neural Tangent Kernel Approach to Neural Networks
  19 Jan 2025 · 1 repository · arXiv:2501.10929
• Towards a Statistical Understanding of Neural Networks: Beyond the Neural Tangent Kernel Theories
  25 Dec 2024 · 0 repositories · arXiv:2412.18756
• Optimal Convergence Rates for Neural Operators
  23 Dec 2024 · 0 repositories · arXiv:2412.17518
• Is the neural tangent kernel of PINNs deep learning general partial differential equations always convergent ?
  9 Dec 2024 · 0 repositories · arXiv:2412.06158
• Exact Certification of (Graph) Neural Networks Against Label Poisoning
  30 Nov 2024 · 1 repository · arXiv:2412.00537
  Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
• Infinite Width Limits of Self Supervised Neural Networks
  17 Nov 2024 · 0 repositories · arXiv:2411.11176
• Gradient Descent Finds Over-Parameterized Neural Networks with Sharp Generalization for Nonparametric Regression
  5 Nov 2024 · 0 repositories · arXiv:2411.02904
• Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods
  13 Oct 2024 · 0 repositories · arXiv:2410.10024
• Collective variables of neural networks: empirical time evolution and scaling laws
  9 Oct 2024 · 0 repositories · arXiv:2410.07451
• On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory
  8 Oct 2024 · 0 repositories · arXiv:2410.05626
• Correlation-Aware Select and Merge Attention for Efficient Fine-Tuning and Context Length Extension
  5 Oct 2024 · 0 repositories · arXiv:2410.04211
• NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel
  2 Oct 2024 · 0 repositories · arXiv:2410.01922
• How Feature Learning Can Improve Neural Scaling Laws
  26 Sep 2024 · 0 repositories · arXiv:2409.17858
• Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent Kernel Perspective
  24 Jul 2024 · 0 repositories · arXiv:2407.17120
• Differential Privacy Mechanisms in Neural Tangent Kernel Regression
  18 Jul 2024 · 0 repositories · arXiv:2407.13621
• Preconditioned Gradient Descent Finds Over-Parameterized Neural Networks with Sharp Generalization for Nonparametric Regression
  16 Jul 2024 · 0 repositories · arXiv:2407.11353
• Stochastic Gradient Descent for Two-layer Neural Networks
  10 Jul 2024 · 0 repositories · arXiv:2407.07670
• Training Guarantees of Neural Network Classification Two-Sample Tests by Kernel Analysis
  5 Jul 2024 · 1 repository · arXiv:2407.04806
• Infinite Width Models That Work: Why Feature Learning Doesn't Matter as Much as You Think
  27 Jun 2024 · 0 repositories · arXiv:2406.18800

Tasks archive 2025-07-28

20 shown of 102 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

Usage over time archive 2025-07-28

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

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