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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 / 2,402 papers shown

Title
Which Layer Causes Distribution Deviation? Entropy-Guided Adaptive Pruning for Diffusion and Flow Models Changlin Li Jiawei Zhang Z. Shi Zongxin Yang Zhihui Li Xiaojun Chang DiffM VLM 168 0 0 26 Nov 2025
Scalable Data Attribution via Forward-Only Test-Time Inference Sibo Ma Julian Nyarko TDI 166 0 0 25 Nov 2025
Deep Learning as a Convex Paradigm of Computation: Minimizing Circuit Size with ResNets Arthur Jacot 41 0 0 25 Nov 2025
Beyond Reward Margin: Rethinking and Resolving Likelihood Displacement in Diffusion Models via Video Generation Ruojun Xu Yu Kai Xuhua Ren Jiaxiang Cheng Bing Ma Tianxiang Zheng Qinhlin Lu EGVM 80 0 0 24 Nov 2025
SineProject: Machine Unlearning for Stable Vision Language Alignment Arpit Garg Hemanth Saratchandran Simon Lucey MU 145 0 0 23 Nov 2025
From Tables to Signals: Revealing Spectral Adaptivity in TabPFN Jianqiao Zheng Cameron Gordon Yiping Ji Hemanth Saratchandran Simon Lucey 92 0 0 23 Nov 2025
Fermions and Supersymmetry in Neural Network Field TheoriesChemical Science (Chem. Sci.), 2025 Samuel Frank James Halverson Anindita Maiti Fabian Ruehle 46 1 0 20 Nov 2025
NTK-Guided Implicit Neural Teaching Chen Zhang Wei Zuo Bingyang Cheng Y. Wang Wei-Bin Kou Yik-Chung Wu Ngai Wong 171 0 0 19 Nov 2025
Data Value in the Age of Scaling: Understanding LLM Scaling Dynamics Under Real-Synthetic Data Mixtures Haohui Wang Jingyuan Qi Jianpeng Chen Jun Wu Lifu Huang ... Balaji Veeramani Edward Bowen Alison Hu Tyler Cody Dawei Zhou 107 0 0 17 Nov 2025
Consistency Change Detection Framework for Unsupervised Remote Sensing Change DetectionIEEE International Conference on Multimedia and Expo (ICME), 2025 Yating Liu Yan Lu 32 0 0 12 Nov 2025
A Generalized Spectral Framework to Expain Neural Scaling and Compression Dynamics Yizhou Zhang 72 2 0 11 Nov 2025
When Bias Pretends to Be Truth: How Spurious Correlations Undermine Hallucination Detection in LLMs Shaowen Wang Yiqi Dong Ruinian Chang Tansheng Zhu Yuebo Sun Kaifeng Lyu Jian Li HILM 177 0 0 10 Nov 2025
Selecting Auxiliary Data via Neural Tangent Kernels for Low-Resource Domains P. Wang Hongcheng Liu Yusheng Liao Ziqing Fan Yaxin Du Shuo Tang Y. Wang Y Samuel Wang 88 0 0 10 Nov 2025
Understanding the role of depth in the neural tangent kernel for overparameterized neural networks William St-Arnaud Margarida Carvalho G. Farnadi MLT 60 0 0 10 Nov 2025
How Wide and How Deep? Mitigating Over-Squashing of GNNs via Channel Capacity Constrained Estimation Zinuo You Jin Zheng John Cartlidge 60 0 0 09 Nov 2025
Scaling Laws and In-Context Learning: A Unified Theoretical Framework Sushant Mehta Ishan Gupta 69 0 0 09 Nov 2025
Linear Gradient Prediction with Control Variates K. Ciosek Nicolò Felicioni Juan Elenter Litwin 80 0 0 07 Nov 2025
Deep Progressive Training: scaling up depth capacity of zero/one-layer models Zhiqi Bu AI4CE 80 0 0 07 Nov 2025
Online Conformal Inference with Retrospective Adjustment for Faster Adaptation to Distribution Shift Jungbin Jun Ilsang Ohn 75 0 0 06 Nov 2025
Depth-induced NTK: Bridging Over-parameterized Neural Networks and Deep Neural Kernels Yong-Ming Tian Shuang Liang Shao-Qun Zhang Feng-lei Fan 65 0 0 05 Nov 2025
A general technique for approximating high-dimensional empirical kernel matrices Chiraag Kaushik Justin Romberg Vidya Muthukumar 54 0 0 05 Nov 2025
Condition Numbers and Eigenvalue Spectra of Shallow Networks on Spheres Xinliang Liu Tong Mao Jinchao Xu 117 0 0 04 Nov 2025
Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning Yixiu Mao Yun Qu Qi Wang Xiangyang Ji OffRL 85 0 0 04 Nov 2025
The Curvature Rate λ: A Scalar Measure of Input-Space Sharpness in Neural Networks Jacob Poschl 74 0 0 03 Nov 2025
Path-Coordinated Continual Learning with Neural Tangent Kernel-Justified Plasticity: A Theoretical Framework with Near State-of-the-Art Performance Rathin Chandra Shit CLL AAML 208 2 0 03 Nov 2025
A Proof of Learning Rate Transfer under $μ$ P Soufiane Hayou MLT 52 0 0 03 Nov 2025
A DeepONet joint Neural Tangent Kernel Hybrid Framework for Physics-Informed Inverse Source Problems and Robust Image Reconstruction Yuhao Fang Zijian Wang Yao Lu Ye Zhang Chun Li 168 0 0 01 Nov 2025
SHAP values through General Fourier Representations: Theory and Applications Roberto Morales 48 0 0 31 Oct 2025
Uncertainty-Aware Diagnostics for Physics-Informed Machine Learning Mara Daniels Liam Hodgkinson Michael W. Mahoney PINN AI4CE 219 0 0 30 Oct 2025
Generative Bayesian Optimization: Generative Models as Acquisition Functions Rafael Oliveira Daniel M. Steinberg Edwin Bonilla 56 0 0 29 Oct 2025
Causal Convolutional Neural Networks as Finite Impulse Response Filters Kiran Bacsa Wei Liu Xudong Jian Huangbin Liang Eleni Chatzi 32 0 0 28 Oct 2025
Eigenfunction Extraction for Ordered Representation Learning Burak Varıcı Che-Ping Tsai Ritabrata Ray Nicholas M. Boffi Pradeep Ravikumar 76 0 0 28 Oct 2025
Block Coordinate Descent for Neural Networks Provably Finds Global Minima Shunta Akiyama 97 2 0 26 Oct 2025
Convergence of Stochastic Gradient Langevin Dynamics in the Lazy Training Regime Noah Oberweis Semih Cayci 165 0 0 24 Oct 2025
Self-diffusion for Solving Inverse Problems Guanxiong Luo Shoujin Huang Yanlong Yang DiffM 100 1 0 24 Oct 2025
Neural Collapse under Gradient Flow on Shallow ReLU Networks for Orthogonally Separable Data Hancheng Min Zhihui Zhu Rene Vidal 99 0 0 24 Oct 2025
Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization Antônio H. Ribeiro David Vävinggren Dave Zachariah Thomas B. Schon Francis Bach AAML 64 0 0 23 Oct 2025
A Derandomization Framework for Structure Discovery: Applications in Neural Networks and Beyond Nikos Tsikouras Yorgos Pantis Ioannis Mitliagkas Christos Tzamos BDL 134 0 0 22 Oct 2025
Iterative Training of Physics-Informed Neural Networks with Fourier-enhanced Features Yulun Wu Miguel Aguiar Karl H.Johansson Matthieu Barreau 88 0 0 22 Oct 2025
No Intelligence Without Statistics: The Invisible Backbone of Artificial Intelligence Ernest Fokoué AI4TS 43 0 0 22 Oct 2025
NTKMTL: Mitigating Task Imbalance in Multi-Task Learning from Neural Tangent Kernel Perspective Xiaohan Qin Xiaoxing Wang Ning Liao Junchi Yan 92 0 0 21 Oct 2025
Position: Many generalization measures for deep learning are fragile Shuofeng Zhang A. Louis AAML 194 0 0 21 Oct 2025
CovMatch: Cross-Covariance Guided Multimodal Dataset Distillation with Trainable Text Encoder Yongmin Lee Hye Won Chung 109 0 0 21 Oct 2025
Weight Decay may matter more than muP for Learning Rate Transfer in Practice Atli Kosson Jeremy Welborn Yang Liu Martin Jaggi Xi Chen 48 1 0 21 Oct 2025
The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis Hoang Pham T. Ta Tom Jacobs R. Burkholz Long Tran-Thanh 80 0 0 20 Oct 2025
Convergence Rates for Gradient Descent on the Edge of Stability in Overparametrised Least Squares Lachlan Ewen MacDonald Hancheng Min Leandro Palma Salma Tarmoun Ziqing Xu Rene Vidal MLT 60 0 0 20 Oct 2025
Infinite Neural Operators: Gaussian processes on functions Daniel Augusto de Souza Yuchen Zhu Harry Jake Cunningham Yuri Saporito Diego Mesquita M. Deisenroth 80 1 0 19 Oct 2025
$Trace Regularity PINNs: Enforcing $\mathrm{H}^{\frac{1}{2}}(\partial Ω)$ for Boundary Data$ Trace Regularity PINNs: Enforcing $\mathrm{H}^{\frac{1}{2}}(\partial Ω)$ for Boundary Data Doyoon Kim Junbin Song PINN 303 0 0 19 Oct 2025
Memorizing Long-tail Data Can Help Generalization Through Composition Mo Zhou Haoyang Ma Rong Ge TDI 241 0 0 18 Oct 2025
Adaptive Legged Locomotion via Online Learning for Model Predictive Control Hongyu Zhou X. Zhang Vasileios Tzoumas 108 1 0 17 Oct 2025