Neural Tangent Kernel

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Period ending 2026-09-14

1 new paper

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Period ending 2026-09-07

4 new papers

A weekly snapshot of new work published in Neural Tangent Kernel.

67 papers

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  1. Information Geometric Self-Organization at the Edge of Stability in High-Capacity Kernel Associative Memories

    Sep 15, 2026Akira TamamoriHopfield NetworksHessian Eigenvalue

  2. Latent-MoE: Domain-Aware Mixture-of-Experts for PDEs with Multi-Regime Physics

    Sep 7, 2026Hanwen Wang, Paris PerdikarisConventional Physics-Informed Neural NetworksPartial Differential Equations

  3. Kernel Reboot: Breaking the Boundaries of Neural Tangent Kernels for Neural Fields

    Sep 2, 2026Amir Mallak, Alaa Maalouf, Lior Wolf +2Neural FieldsNeural Tangent Kernel

  4. Learning with Volterra Neural Networks: A System Theoretic Perspective

    Sep 1, 2026Haoyu Yun, Hamid Krim, Yufang BaoNeural Tangent KernelNeural Operators

  5. AdaptNTK: Adaptive Uncertainty Quantification and Active Learning for Neural Network Potentials

    Aug 31, 2026Prajwal Ananth, Shuwen YueInteratomic PotentialsActive Learning

  6. Regime-Gated Residual Mixture-of-Experts for Cross-Sectional Volatility Forecasting

    Aug 12, 2026Junyi Ye, Gargi Vijay BordeVolatilityHeteroskedasticity

  7. Tensor Network Kernel Machines: A JAX Framework for Machine Learning and Nonlinear System Identification

    Aug 7, 2026Albert Saiapin, Kim BatselierTensor NetworksNeural Tangent Kernel

  8. Tight Worst-Case Bounds for the Smallest Eigenvalue of ReLU NTK Gram Matrices

    Aug 4, 2026Zhao SongLargest EigenvalueRectified Linear Unit

  9. The Noise Premium in Adversarial Training for Kernel Regression

    Jul 30, 2026Yiling Xie, Xiaoming HuoKernel Ridge RegressionAdversarial Transferability

  10. PIKS: Universal Physics-Informed Kernel Methods

    Jul 29, 2026Joachim Bona-Pellissier, Giacomo Meanti, Matteo Santacesaria +1Reproducing Kernel Hilbert SpacesMultiscale Dynamics

  11. Kernel Regression with Tensor Trains and Hadamard Overparameterization

    Jul 19, 2026Duc Thien Nguyen, Konstantinos Slavakis, Eleftherios Kofidis +1Low-Rank Tensor DecompositionTensor

  12. Neural Discovery of Memory and Nonlocal Kernels in Integro-Differential Equations with Constrained Kolmogorov--Arnold Networks

    Jul 13, 2026Aruzhan Tleubek, Salah A FaroughiKolmogorov-Arnold NetworksReproducing Kernel Hilbert Spaces

  13. The Differential Neural Tangent Kernel and Its Positivity

    Jul 11, 2026Bangti Jin, Longjun WuNeural Tangent KernelConventional Physics-Informed Neural Networks

  14. A Function-Space Dichotomy for Compositional Learning: Exponential Sub-Optimality of the Neural Tangent Kernel

    Jul 7, 2026Arkaprabha Ganguli, Emil ConstantinescuNeural Tangent KernelRectified Linear Unit Networks

  15. Learning dynamical systems from noisy data with Weak-form Kernel Ridge Regression

    Jun 30, 2026Max Kreider, John Harlim, Daning HuangKernel Ridge RegressionChaotic Dynamical Systems

  16. Differential Spectral Damping Gap Adaptive Regularization for Ill-Conditioned Kernel Methods

    Jun 22, 2026Praveg VashishthaRegularization MethodsLargest Eigenvalue

  17. Convergence of Gradient Descent for General Neural Network Architectures Beyond the NTK Regime

    Jun 22, 2026Yuqing WangNeural Tangent KernelGradient Descent

  18. Catastrophic Forgetting is Low-Rank: A Function-Space Theory for Continual Adaptation

    Jun 16, 2026Ido Nitzan Hidekel, Dan RavivCatastrophic ForgettingNeural Tangent Kernel

  19. Robust Neural Tucker Factorization with Bias Correction and Adaptive Initialization

    Jun 15, 2026Yuchao Su, Yixin RanTensor CompletionNeural Tangent Kernel

  20. Near-Exponential Convergence Rates for kNN Classification based on Boltzmann Margin

    Jun 9, 2026Luyuan Yang, Shayan Shafaei, Chao LanK-Nearest-NeighborOptimization Convergence Analysis

  21. Preserving Plasticity in Continual Learning via Dynamical Isometry

    Jun 8, 2026Andries Rosseau, Robert Müller, Ann NowéPlasticityEfficient Continual Learning

  22. Integrating Out, Twice:The Open-System Case That Neural-Network Ensemble Theory Is Missing

    Jun 8, 2026Jin LeiNeural Tangent KernelNuclear Physics

  23. Generalization in Nonlinear Least Squares via Learned Feature Geometry

    Jun 7, 2026Ayub Kharel, Ilja Kuzborskij, Patrick Rebeschini +1Generalization BoundsLeast Squares

  24. Generalization in Deep Neural Networks: Minimax Rates for Gradient Methods

    Jun 4, 2026Junyu Zhou, Puyu Wang, Yunwen Lei +2Over-Parameterized Neural NetworksNeural Tangent Kernel

  25. Optimal Rates for Generalization of Gradient Descent Methods with Deep Neural Networks

    Jun 4, 2026Junyu Zhou, Puyu Wang, Yunwen Lei +2Gradient DescentStochastic Gradient Descent

  26. TorchKM: A GPU-Oriented Library for Kernel Learning and Model Selection

    Jun 4, 2026Yikai Zhang, Gaoxiang Jia, Jie Ding +1Graphics Processing Unit KernelsPytorch

  27. Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples

    Jun 4, 2026Ziad Kobeissi, Éloïse BerthierTemporal DifferenceFinite Time Analysis

  28. Low-Rank Decay for Grokking in Scale-Invariant Transformers: A Spectral-Geometric View

    Jun 3, 2026Mingyu LiLow-Rank FactorizationWeight Decay

  29. Scalable Uncertainty Quantification for Extreme Weather Forecasting via Empirical Neural Tangent Kernels

    Jun 1, 2026Jose Marie Antonio Miñoza, Rex Gregor Laylo, Sebastian C. IbañezArtificial Intelligence Weather ModelsUncertainty Quantification

  30. Spectral Audit of In-Context Operator Networks

    Jun 1, 2026Zhiwei Gao, Liu Yang, George Em KarniadakisNeural OperatorsJacobian

  31. Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail

    May 29, 2026Konstantin Nikolaou, Jonas Scheunemann, Sven Krippendorf +2Scaling LawsNeural Tangent Kernel

  32. Eigen-Spike Emergence and Quadratic Equivalents for Conjugate Kernels on Nonlinearly Separable Data

    May 28, 2026Collin Cranston, Zhichao Wang, Todd Kemp +1Largest EigenvalueNeural Tangent Kernel

  33. Label-NTK Alignments and A Tighter Convergence Bound in the NTK Regime

    May 24, 2026Ruchirinkil Marreddy, Chaoyue LiuNeural Tangent KernelOver-Parameterized Neural Networks

  34. IKNO: Infinite-order Kernel Neural Operators

    May 21, 2026Pengyuan Zhu, Ivor W. Tsang, Yueming LyuNeural OperatorsFourier Neural Operators

  35. The Devil is in the Condition Numbers: Why is GLU Better than non-GLU Structure?

    May 20, 2026Xingyu Lyu, Qianqian Xu, Zhiyong Yang +2Neural Tangent Kernel

  36. Dual-Channel Tensor Neural Networks: Finite-Sample Theory and Conformal Structure Selection

    May 18, 2026Elynn Chen, Jiayu Li, Zheshi Zheng +1Low-Rank Tensor DecompositionTensor

  37. The Neural Tangent Kernel for Classification

    May 17, 2026Jonathan Plenk, Sergio Calvo-Ordonez, Alvaro Cartea +3Neural Tangent KernelArtificial Neural Networks

  38. When and Why Adversarial Training Improves PINNs: A Neural Tangent Kernel Perspective

    May 15, 2026Yuan-dong Cao, Chi Chiu SO, Jun-Min Wang +1Conventional Physics-Informed Neural NetworksGenerative Adversarial Network

  39. Fast Adversarial Attacks with Gradient Prediction

    May 14, 2026Kamil Ciosek, Aleksandr V. Petrov, Nicolò Felicioni +1Black-Box Adversarial AttacksGradcam

  40. Large Dimensional Kernel Ridge Regression: Extending to Product Kernels

    May 14, 2026Yang Zhou, Yicheng Li, Yuqian Cheng +1Kernel Ridge RegressionHigh-Dimensional

  41. On Kernel Eigen-alignments of KRR: Reconstruction and Generalization

    May 14, 2026Yang Liu, Ernest Fokoue, Richard Lange +1Kernel Ridge RegressionLargest Eigenvalue

  42. Deciphering Neural Reparameterized Full-Waveform Inversion with Neural Sensitivity Kernel and Wave Tangent Kernel

    May 14, 2026Ruihua Chen, Yisi Luo, Bangyu Wu +2Neural Tangent KernelWave

  43. Force-Aware Neural Tangent Kernels for Scalable and Robust Active Learning of MLIPs

    May 13, 2026Eszter Varga-Umbrich, Zachary Weller-Davies, Paul Duckworth +3Interatomic PotentialsActive Learning

  44. SoK: A Comprehensive Analysis of the Current Status of Neural Tangent Generalization Attacks with Research Directions

    May 12, 2026Thushari Hapuarachchi, Kaiqi XiongNeural Tangent KernelDeep Neural Network

  45. State-Space NTK Collapse Near Bifurcations

    May 12, 2026James Hazelden, Eric Shea-BrownNeural Tangent KernelBifurcation

  46. Population Risk Bounds for Kolmogorov-Arnold Networks Trained by DP-SGD with Correlated Noise

    May 12, 2026Puyu Wang, Jan Schuchardt, Nikita Kalinin +4Differential PrivacyKolmogorov-Arnold Networks

  47. Zero-shot Quantum Neural Architecture Search

    May 12, 2026Tung Dao, Son N. Tran, Huynh Thi Thanh BinhVariational Quantum CircuitsQuantum Neural Networks

  48. KAN-CL: Per-Knot Importance Regularization for Continual Learning with Kolmogorov-Arnold Networks

    May 12, 2026Minjong CheonCatastrophic ForgettingKolmogorov-Arnold Networks

  49. Scalable Gaussian process inference via neural feature maps

    May 11, 2026Anthony StephensonGaussian ProcessFeature Learning

  50. The Global Empirical NTK: Self-Referential Bias and Dimensionality of Gradient Descent Learning

    May 9, 2026James Hazelden, Laura Driscoll, Eli Shlizerman +1Neural Tangent KernelRecurrent Model

  51. Convergence Analysis of Newton's Method for Neural Networks in the Overparameterized Limit

    May 8, 2026Konstantin Riedl, Konstantinos Spiliopoulos, Justin SirignanoNeural Tangent KernelOver-Parameterized Neural Networks

  52. Rethinking the Rank Threshold for LoRA Fine-Tuning

    May 5, 2026Juneyoung ParkCross-Entropy LossesRanking

  53. Learning Dynamics of Zeroth-Order Optimization: A Kernel Perspective

    May 5, 2026Zhe Li, Bicheng Ying, Zidong Liu +1Zeroth-Order OptimizationNeural Tangent Kernel

  54. A Universal Reproducing Kernel Hilbert Space from Polynomial Alignment and IMQ Distance

    May 5, 2026Taha BouhsineReproducing Kernel Hilbert SpacesNeural Tangent Kernel

  55. Geometric and Spectral Alignment for Deep Neural Network II

    May 4, 2026Ziran Liu, Wei Wang, Jinhao Wang +5JacobianResidual Connections

  56. A Theory of Generalization in Deep Learning

    May 2, 2026Elon Litman, Gabe GuoNeural Tangent KernelOver-Parameterized Neural Networks

  57. Topological Neural Tangent Kernel

    May 1, 2026Sanjukta KrishnagopalGraph Neural NetworksNeural Tangent Kernel

  58. Diffusion Operator Geometry of Feedforward Representations

    May 1, 2026Kanishka ReddyGeometric Machine LearningFeed-Forward

  59. Laplace Approximation for Bayesian Tensor Network Kernel Machines

    Apr 29, 2026Albert Saiapin, Kim BatselierBayesian Neural NetworksGaussian Process

  60. Adversarial Robustness of NTK Neural Networks

    Apr 28, 2026Yuxuan HouNeural Tangent KernelExponential Family