Papers Using This Method
Neural Tangent Kernel Analysis to Probe Convergence in Physics-informed Neural Solvers: PIKANs vs. PINNs2025-06-09GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection2025-05-21Just One Layer Norm Guarantees Stable Extrapolation2025-05-20Training NTK to Generalize with KARE2025-05-16Precise gradient descent training dynamics for finite-width multi-layer neural networks2025-05-08How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of Multigrid Parametric Encodings2025-04-18Divergence of Empirical Neural Tangent Kernel in Classification Problems2025-04-15Neural Tangent Kernel of Neural Networks with Loss Informed by Differential Operators2025-03-14Determinant Estimation under Memory Constraints and Neural Scaling Laws2025-03-06MLPs at the EOC: Concentration of the NTK2025-01-24MLPs at the EOC: Spectrum of the NTK2025-01-22Issues with Neural Tangent Kernel Approach to Neural Networks2025-01-19Towards a Statistical Understanding of Neural Networks: Beyond the Neural Tangent Kernel Theories2024-12-25Optimal Convergence Rates for Neural Operators2024-12-23Is the neural tangent kernel of PINNs deep learning general partial differential equations always convergent ?2024-12-09Exact Certification of (Graph) Neural Networks Against Label Poisoning2024-11-30Infinite Width Limits of Self Supervised Neural Networks2024-11-17Gradient Descent Finds Over-Parameterized Neural Networks with Sharp Generalization for Nonparametric Regression2024-11-05Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods2024-10-13Collective variables of neural networks: empirical time evolution and scaling laws2024-10-09