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https://deepai.org/publication/neural-tangent-kernel-analysis-of-deep-narrow-neural-networks Neural Tangent Kernel Analysis of Deep Narrow Neural Networks | DeepAI Feb 7, 2022 - 02/07/22 - The tremendous recent progress in analyzing the training dynamics of overparameterized neural networks has primarily focused on wi... neural tangent kernel narrow networks analysis deep https://openreview.net/forum?id=DUy-qLzqvlU DNN-based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel | OpenReview Theoretical analysis of topological optimization with DNNs using the NTK. neural tangent kernel topology optimisation dnn based spatial https://openreview.net/forum?id=VoLDkQ6yR3 Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation |... Modern deep learning requires large volumes of data, which could contain sensitive or private information that cannot be leaked. Recent work has shown for... neural tangent kernel reconstruction attacks with the understanding https://arxiv.org/abs/2502.02870v3 [2502.02870v3] Uncertainty Quantification with the Empirical Neural Tangent Kernel Abstract page for arXiv paper 2502.02870v3: Uncertainty Quantification with the Empirical Neural Tangent Kernel uncertainty quantification with the 2502 empirical neural https://github.com/rajatvd/NTK GitHub - rajatvd/NTK: Code for experiments in my blog post on the Neural Tangent Kernel:... Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK - rajatvd/NTK https://arxiv.org/abs/1909.05989 [1909.05989] Finite Depth and Width Corrections to the Neural Tangent Kernel Abstract page for arXiv paper 1909.05989: Finite Depth and Width Corrections to the Neural Tangent Kernel https://arxiv.org/abs/2105.05001v1 [2105.05001v1] FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Convergence... Abstract page for arXiv paper 2105.05001v1: FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Convergence Analysis https://arxiv.org/abs/2502.02870 [2502.02870] Uncertainty Quantification with the Empirical Neural Tangent Kernel Abstract page for arXiv paper 2502.02870: Uncertainty Quantification with the Empirical Neural Tangent Kernel uncertainty quantification with the 2502 02870 empirical https://openreview.net/forum?id=yKksu38BpM Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models... A recent trend in explainable AI research has focused on surrogate modeling, where neural networks are approximated as simpler ML algorithms such as kernel... neural networks https://openreview.net/forum?id=Ge7okBGZYi How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of... Neural networks that map between low dimensional spaces are ubiquitous in computer graphics and scientific computing; however, in their naive implementation,...