Neural Tangent Kernel

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5 papers in the last four weeks, up 25% on the four weeks before. 0.0% of all new papers.

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  1. Certified Approximation for Interpretable Representer Landmarks

    Sep 30, 2026Jayanta Mukherjee, Shourya Verma, Mengbo Wang +2ApproximationPrincipal Component Analysis

    Department of Computer Science Purdue University West Lafayette, IN 47907, USA

  2. First Learn, Then Memorize: The Spectral Bias of Diffusion Models

    Sep 28, 2026Raphaël Urfin, Tony Bonnaire, Giulio Biroli +1Neural Tangent KernelDiffusion Models

    Laboratoire de Physique de l’École normale supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université Paris Cité, F-75005 Paris, France · Université Paris-Saclay, CNRS, Institut d’Astrophysique Spatiale, 91405 Orsay, France · Department of Computing Sciences, Bocconi University, Milano, Italy

  3. A Spectral Theory of Grokking: Weight Decay induces Feature Learning

    Sep 22, 2026Lenz Pracher, Pascal de Jong, Oskar Lieshaus +2Neural Tangent KernelFeature Learning

    Arnold-Sommerfeld-Center for Theoretical Physics, Ludwig-Maximilians-Universität München, Munich, Germany · Department of Applied Physics, Standford University, Standford, CA, USA · Department of Mathematics, University of Cambridge, Cambridge, UK

  4. Well-posedness of neural turbulence closures and tangent dissipation

    Sep 17, 2026Zhen Zhang, George Em KarniadakisReynolds-Averaged Navier-StokesTangent Space

    Division of Applied Mathematics, Brown University, Providence, RI 02912, USA

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

    Sep 7, 2026Hanwen Wang, Paris PerdikarisParametric Physics-Informed Neural NetworkPartial Differential Equations

    Graduate Group of Applied Mathematics and Computational Science University of Pennsylvania Philadelphia, PA 19104 · Department of Mechanical Engineering and Applied Mechanics University of Pennsylvania Philadelphia, PA 19104

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

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

    Department of Computer Science, University of Haifa · Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology · School of Computer Science and AI, Tel Aviv University

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

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

    Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA · Department of Mathematics and Computer Science, Fayetteville State University, Fayetteville, NC, USA

  8. Data-driven Koopman mode approximation: A neural power iteration algorithm

    Aug 27, 2026Guillaume O. Berger, Raphaël M. JungersKoopman OperatorNonlinear Dynamics

    ICTEAM, UCLouvain, Louvain-la-Neuve, Belgium

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

    Aug 12, 2026Junyi Ye, Gargi Vijay BordeVolatilityHeteroskedasticity

    School of Computing, Montclair State University · Montclair, New Jersey, USA

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

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

    Delft Center for Systems and Control, TU Delft, Netherlands

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

    Aug 4, 2026Zhao SongRectified Linear UnitSpectral Decomposition

  12. The Differential Neural Tangent Kernel and Its Positivity

    Jul 11, 2026Bangti Jin, Longjun WuNeural Tangent KernelParametric Physics-Informed Neural Network

    Department of Mathematics, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, P.R. China

  13. 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

    Mathematics & Computer Science Division, Argonne National Laboratory, Lemont, IL, USA

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

    Jun 22, 2026Yuqing WangNeural Tangent KernelGradient Descent

    Johns Hopkins University

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

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

    Tel Aviv University, Tel Aviv, Israel.

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

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

    School of Computer Science and Engineering, Chongqing University of Science and Technology, Chongqing, China · College of Computer and Information Science, School of Software, Southwest University, Chongqing, China

  17. Preserving Plasticity in Continual Learning via Dynamical Isometry

    Jun 8, 2026Andries Rosseau, Robert Müller, Ann NowéPlasticityContinual Learning

    AI Lab, Vrije Universiteit Brussel · Aganthos

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

    Jun 8, 2026Jin LeiNeural Tangent KernelNuclear Data

    Department of Physics, Tongji University, Shanghai 200092, China · Southern Center for Nuclear-Science Theory (SCNT), Institute of Modern Physics, Chinese Academy of Sciences, Huizhou 516000, Guangdong Province, China

  19. Generalization in Nonlinear Least Squares via Learned Feature Geometry

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

    University of Oxford · Google DeepMind · Sapient Intelligence

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

    Jun 4, 2026Junyu Zhou, Puyu Wang, Yunwen Lei +2OverparameterizationNeural Tangent Kernel

    Mathematical Institute for Machine Learning and Data Science, Catholic University of Eichstätt-Ingolstadt · Department of Computer Science, RPTU Kaiserslautern-Landau · Department of Mathematics, The University of Hong Kong +1

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

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

    Mathematical Institute for Machine Learning and Data Science, KU Eichstätt-Ingolstadt, Ingolstadt, Germany · Department of Computer Science, RPTU Kaiserslautern-Landau, Kaiserslautern, Germany · Department of Mathematics, University of Hong Kong, Hong Kong, China +1

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

    Jun 1, 2026Jose Marie Antonio Miñoza, Rex Gregor Laylo, Sebastian C. IbañezNumerical Weather PredictionUncertainty Quantification

    Center for AI Research · Department of Education · Makati, Philippines

  23. Spectral Audit of In-Context Operator Networks

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

    Division of Applied Mathematics, Brown University, Providence, RI, USA · Department of Mathematics, National University of Singapore, Singapore

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

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

    Institute for Computational Physics, University of Stuttgart, Stuttgart, Germany · Department of Applied Mathematics and Theoretical Physics and Department of Physics, University of Cambridge, Cambridge, UK

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

    May 24, 2026Ruchirinkil Marreddy, Chaoyue LiuNeural Tangent KernelOverparameterization

    Elmore Family School of Electrical and Computer Engineering Purdue University

  26. 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 KernelHessian

    State Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China · School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing 101408, China · Beijing Academy of Artificial Intelligence (BAAI), Beijing, China

  27. The Neural Tangent Kernel for Classification

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

    Mathematical Institute, University of Oxford · Oxford-Man Institute of Quantitative Finance, University of Oxford · OATML, University of Oxford +2

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

    May 15, 2026Yuan-dong Cao, Chi Chiu SO, Jun-Min Wang +1Parametric Physics-Informed Neural NetworkAdversarial Training

    School of Mathematics and Statistics, Beijing Institute of Technology, China · Department of Computer Science & UCL AI Centre, University College London, UK · School of Professional Education and Executive Development The Hong Kong Polytechnic University, China

  29. Fast Adversarial Attacks with Gradient Prediction

    May 14, 2026Kamil Ciosek, Aleksandr V. Petrov, Nicolò Felicioni +1Gradient-Based AttacksBlack-Box Adversarial Attacks

    Spotify

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

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

    School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China · School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi, China · School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 610000, China

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

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

    InstaDeep, UK · Department of Engineering, University of Cambridge, Cambridge, UK

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

    May 12, 2026Thushari Hapuarachchi, Kaiqi XiongNeural Tangent KernelSystematic Study

    University of South Florida Tampa, USA

  33. State-Space NTK Collapse Near Bifurcations

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

    University of Washington

  34. Zero-shot Quantum Neural Architecture Search

    May 12, 2026Tung Dao, Son N. Tran, Huynh Thi Thanh BinhVariational Quantum AlgorithmsQuantum Circuits

    Hanoi University of Science and Technology, Hanoi, Vietnam · Deakin University, Melbourne, Australia

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

    May 9, 2026James Hazelden, Laura Driscoll, Eli Shlizerman +1Neural Tangent KernelGradient Descent

    Applied Mathematics, University of Washington; Allen Institute · Allen Institute · Neurobiology & Biophysics, University of Washington +2

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

    May 8, 2026Konstantin Riedl, Konstantinos Spiliopoulos, Justin SirignanoNeural Tangent KernelOverparameterization

    Mathematical Institute University of Oxford · Department of Mathematics & Statistics Boston University

  37. Rethinking the Rank Threshold for LoRA Fine-Tuning

    May 5, 2026Juneyoung ParkModel Fine-TuningCross-Entropy Losses

    OptAI Inc.

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

    May 5, 2026Zhe Li, Bicheng Ying, Zidong Liu +1Zeroth-Order OptimizationZeroth-Order

    Department of Computing and Information Sciences Ph.D., Rochester Institute of Technology, Rochester, NY, USA · Google Inc., Los Angeles, CA, USA · ComboCurve Inc., Houston, TX, USA

  39. A Theory of Generalization in Deep Learning

    May 2, 2026Elon Litman, Gabe GuoNeural Tangent KernelOverparameterization

    Stanford University

  40. Topological Neural Tangent Kernel

    May 1, 2026Sanjukta KrishnagopalGraph Neural NetworksNeural Tangent Kernel

    Department of Computer Science, University of California Santa Barbara

  41. Adversarial Robustness of NTK Neural Networks

    Apr 28, 2026Yuxuan HouNeural Tangent KernelNeural Network

    1Qiuzhen College, Tsinghua University

  42. Collective Kernel EFT for Pre-activation ResNets

    Apr 17, 2026Hidetoshi Kawase, Toshihiro OtaResidual NetworksRenormalization Group

    CyberAgent, Inc., Shibuya, Tokyo 150–6121 Japan

  43. KVNN: Learnable Multi-Kernel Volterra Neural Networks

    Apr 16, 2026Haoyu Yun, Hamid Krim, Yufang BaoNeural Tangent KernelNeural Network

    Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA · Department of Mathematics and Computer Science, Fayetteville State University, Fayetteville, NC, USA

  44. Quantitative Understanding of PDF Fits and their Uncertainties

    Dec 30, 2025Amedeo Chiefa, Luigi Del Debbio, Richard KenwayNeural Tangent KernelParametric Physics-Informed Neural Network

    The Higgs Centre for Theoretical Physics, School of Physics and Astronomy, The University of Edinburgh, Peter Guthrie Tait Road, Edinburgh EH9 3FD, United Kingdom

  45. Fast Generalized Neural Tangent Kernel Statistics via Trace Estimation

    Nov 13, 2025James Hazelden, Balaaji Reddy Nagireddy, Eric Shea-BrownNeural Tangent KernelRecurrent Neural Networks

    Applied Mathematics, University of Washington & The Allen Institute, Seattle, WA.

  46. KITINet: KInetic Theory Inspired Inter-Channel Information Exchange for Residual Networks

    May 23, 2025Mingquan Feng, Yifan Fu, Tongcheng Zhang +3Neural Tangent Kernel

    Shanghai Jiao Tong University

  47. Large and Deep Factor Models

    Jan 20, 2024Bryan Kelly, Boris Kuznetsov, Semyon Malamud +1Mathematical FinanceNeural Tangent Kernel

    Yale School of Management, AQR Capital Management, and NBER · AQR Capital Management · NBER +5

  48. Universality of empirical risk minimization

    Feb 17, 2022Andrea Montanari, Basil SaeedEmpirical Risk MinimizationNeural Tangent Kernel

    Department of Statistics and Department of Mathematics, Stanford University · Department of Electrical Engineering, Stanford University