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Neural Tangent Kernel: Convergence and Generalization in Neural Networks

20 June 2018

Papers citing "Neural Tangent Kernel: Convergence and Generalization in Neural Networks"

50 / 2,403 papers shown

Title
On the Generalization Properties of Learning the Random Feature Models with Learnable Activation Functions Zailin Ma Jiansheng Yang Yaodong Yang 60 0 0 17 Oct 2025
Robust Layerwise Scaling Rules by Proper Weight Decay Tuning Zhiyuan Fan Yifeng Liu Qingyue Zhao Angela Yuan Quanquan Gu 89 0 0 17 Oct 2025
One-Bit Quantization for Random Features Models D. Akhtiamov Reza Ghane B. Hassibi MQ 144 0 0 17 Oct 2025
Adaptive Legged Locomotion via Online Learning for Model Predictive Control Hongyu Zhou X. Zhang Vasileios Tzoumas 108 1 0 17 Oct 2025
Sequence Modeling with Spectral Mean Flows Jinwoo Kim Max Beier Nicolas Hoischen Nayun Kim Seunghoon Hong BDL 138 0 0 17 Oct 2025
Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression Yeichan Kim Ilmun Kim Seyoung Park 120 0 0 17 Oct 2025
Spectral Analysis of Molecular Kernels: When Richer Features Do Not Guarantee Better Generalization Asma Jamali Tin Sum Cheng Rodrigo A. Vargas-Hernández 49 0 0 16 Oct 2025
A simple mean field model of feature learning Niclas Goring Chris Mingard Yoonsoo Nam Ard A. Louis MLT 80 0 0 16 Oct 2025
Towards Robust Knowledge Removal in Federated Learning with High Data Heterogeneity Riccardo Santi Riccardo Salami Simone Calderara MU 124 0 0 15 Oct 2025
General Fourier Feature Physics-Informed Extreme Learning Machine (GFF-PIELM) for High-Frequency PDEs Fei Ren Sifan Wang Pei-Zhi Zhuang H. Yu He Yang AI4CE 104 0 0 14 Oct 2025
Learning Dynamics of VLM Finetuning Jusheng Zhang Kaitong Cai Jing Yang Keze Wang 60 3 0 13 Oct 2025
Provable Anytime Ensemble Sampling Algorithms in Nonlinear Contextual Bandits Jiazheng Sun Weixin Wang Pan Xu 116 0 0 12 Oct 2025
INR-Bench: A Unified Benchmark for Implicit Neural Representations in Multi-Domain Regression and Reconstruction L. Li Fengyi Zhang Zhong Wang Lin Zhang Ying Shen 88 0 0 11 Oct 2025
ADEPT: Continual Pretraining via Adaptive Expansion and Dynamic Decoupled Tuning Jinyang Zhang Yue Fang Hongxin Ding Weibin Liao Muyang Ye Xu Chu Junfeng Zhao Yasha Wang CLL 95 0 0 11 Oct 2025
A mathematical theory for understanding when abstract representations emerge in neural networks Bin Wang W. Jeffrey Johnston Stefano Fusi 58 0 0 10 Oct 2025
Provable Watermarking for Data Poisoning Attacks Yifan Zhu Lijia Yu Xiao-Shan Gao AAML 119 0 0 10 Oct 2025
Automated Evolutionary Optimization for Resource-Efficient Neural Network Training Ilia Revin Leon Strelkov Vadim A. Potemkin Ivan A Kireev Andrey Savchenko 88 0 0 10 Oct 2025
AdaPM: a Partial Momentum Algorithm for LLM Training Yimu Zhang Yuanshi Liu Cong Fang 104 0 0 10 Oct 2025
Integral Signatures of Activation Functions: A 9-Dimensional Taxonomy and Stability Theory for Deep Learning Ankur Mali Lawrence Hall Jake Williams Gordon Richards 48 0 0 09 Oct 2025
Who Said Neural Networks Aren't Linear? Nimrod Berman Assaf Hallak Assaf Shocher 104 1 0 09 Oct 2025
From Condensation to Rank Collapse: A Two-Stage Analysis of Transformer Training Dynamics Zheng-an Chen Tao Luo AI4CE 112 1 0 08 Oct 2025
HoloScene: Simulation-Ready Interactive 3D Worlds from a Single Video Hongchi Xia Chih-Hao Lin Hao-Yu Hsu Quentin Leboutet Katelyn Gao Michael Paulitsch Benjamin Ummenhofer Shenlong Wang VGen 100 0 0 07 Oct 2025
Improving Clinical Dataset Condensation with Mode Connectivity-based Trajectory Surrogates Pafue Christy Nganjimi A. Soltan Danielle Belgrave Lei A. Clifton David Clifton A. Thakur DD AI4CE 188 0 0 07 Oct 2025
Kernel ridge regression under power-law data: spectrum and generalization Arie Wortsman Bruno Loureiro 105 1 0 06 Oct 2025
Directional Sheaf Hypergraph Networks: Unifying Learning on Directed and Undirected Hypergraphs Emanuele Mule Stefano Fiorini Antonio Purificato F. Siciliano Stefano Coniglio Fabrizio Silvestri 113 1 0 06 Oct 2025
Closed-Form Last Layer Optimization Alexandre Galashov Nathael Da Costa Liyuan Xu Philipp Hennig Arthur Gretton ODL 176 1 0 06 Oct 2025
The Debate on RLVR Reasoning Capability Boundary: Shrinkage, Expansion, or Both? A Two-Stage Dynamic View Xinhao Yao Lu Yu Xiaolin Hu Fengwei Teng Qing Cui Jun Zhou Yong Liu LRM 125 0 0 05 Oct 2025
On the Convergence and Size Transferability of Continuous-depth Graph Neural Networks Mingsong Yan Charles Kulick Sui Tang 136 0 0 04 Oct 2025
Neural Posterior Estimation with Autoregressive Tiling for Detecting Objects in Astronomical Images Jeffrey Regier 3DPC 110 1 0 03 Oct 2025
Optimal Rates for Generalization of Gradient Descent for Deep ReLU Classification Yuanfan Li Yunwen Lei Zheng-Chu Guo Yiming Ying MLT 139 0 0 03 Oct 2025
Topological Invariance and Breakdown in Learning Yongyi Yang Tomaso Poggio Isaac Chuang Liu Ziyin 100 0 0 03 Oct 2025
Neural non-canonical Hamiltonian dynamics for long-time simulations Clémentine Courtès Emmanuel Franck Michael Kraus Laurent Navoret Léopold Trémant 112 0 0 02 Oct 2025
Low Rank Gradients and Where to Find Them Rishi Sonthalia Michael Murray Guido Montúfar 104 2 0 01 Oct 2025
Can Mamba Learn In Context with Outliers? A Theoretical Generalization Analysis Hongkang Li Songtao Lu Xiaodong Cui Pin-Yu Chen Meng Wang MLT 96 1 0 01 Oct 2025
Feature Identification via the Empirical NTK Jennifer Lin 135 0 0 01 Oct 2025
Cutting the Skip: Training Residual-Free Transformers Yiping Ji James Martens Jianqiao Zheng Ziqin Zhou Peyman Moghadam Xinyu Zhang Hemanth Saratchandran Simon Lucey 143 1 0 30 Sep 2025
Sampling Complexity of TD and PPO in RKHS Lu Zou Wendi Ren Weizhong Zhang Liang Ding Shuang Li 68 1 0 29 Sep 2025
Quantitative convergence of trained single layer neural networks to Gaussian processes Eloy Mosig Andrea Agazzi Dario Trevisan BDL 97 0 0 29 Sep 2025
Interpretable Kernel Representation Learning at Scale: A Unified Framework Utilizing Nyström Approximation Maedeh Zarvandi Michael Timothy Theresa Wasserer Debarghya Ghoshdastidar 133 0 0 29 Sep 2025
Gradient Flow Convergence Guarantee for General Neural Network Architectures Yash Jakhmola MLT 90 0 0 28 Sep 2025
Toward a Holistic Approach to Continual Model Merging Hoang Phan Sungmin Cha Tung Lam Tran Qi Lei MoMe CLL 170 0 0 28 Sep 2025
Does Weak-to-strong Generalization Happen under Spurious Correlations? Chenruo Liu Yijun Dong Qi Lei 108 0 0 28 Sep 2025
Better Hessians Matter: Studying the Impact of Curvature Approximations in Influence Functions Steve Hong Runa Eschenhagen Bruno Mlodozeniec Richard Turner TDI 201 0 0 27 Sep 2025
Train Once, Answer All: Many Pretraining Experiments for the Cost of One Sebastian Bordt Martin Pawelczyk CLL 168 1 0 27 Sep 2025
Neighborhood Sampling Does Not Learn the Same Graph Neural Network Zehao Niu M. Anitescu Jie Chen GNN 104 0 0 26 Sep 2025
A Law of Data Reconstruction for Random Features (and Beyond) Leonardo Iurada Simone Bombari Tatiana Tommasi Marco Mondelli 104 0 0 26 Sep 2025
Neural Feature Geometry Evolves as Discrete Ricci Flow Moritz Hehl Max von Renesse Melanie Weber AI4CE 95 0 0 26 Sep 2025
Sobolev acceleration for neural networks Jong Kwon Oh Hanbaek Lyu Hwijae Son 143 1 0 24 Sep 2025
Faster, Smaller, and Smarter: Task-Aware Expert Merging for Online MoE Inference Ziyi Han Xutong Liu Ruiting Zhou Xiangxiang Dai J. C. Lui MoMe MoE 125 0 0 24 Sep 2025
Feature Dynamics as Implicit Data Augmentation: A Depth-Decomposed View on Deep Neural Network Generalization Tianyu Ruan Kuo Gai Shihua Zhang OOD MLT MDE 351 0 0 24 Sep 2025