Neural Tangent Kernel: Convergence and Generalization in Neural Networks

20 June 2018

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

50 / 2,163 papers shown

Title
Statistically guided deep learning Michael Kohler A. Krzyżak ODL BDL 82 0 0 11 Apr 2025
Free Random Projection for In-Context Reinforcement Learning Tomohiro Hayase B. Collins Nakamasa Inoue 28 0 0 09 Apr 2025
Comparative analysis of Realistic EMF Exposure Estimation from Low Density Sensor Network by Finite & Infinite Neural Networks Mohammed Mallik Laurent Clavier D. Gaillot 26 0 0 07 Apr 2025
PEAKS: Selecting Key Training Examples Incrementally via Prediction Error Anchored by Kernel Similarity Mustafa Burak Gurbuz Xingyu Zheng C. Dovrolis OOD 45 0 0 07 Apr 2025
Better Rates for Random Task Orderings in Continual Linear Models Itay Evron Ran Levinstein Matan Schliserman Uri Sherman Tomer Koren Daniel Soudry Nathan Srebro CLL 40 0 0 06 Apr 2025
DeepOHeat-v1: Efficient Operator Learning for Fast and Trustworthy Thermal Simulation and Optimization in 3D-IC Design Xinling Yu Zhengwu Liu Hai Li Yixing Li Xin Ai Zhiyu Zeng Ian Young Zheng Zhang AI4CE 38 0 0 04 Apr 2025
Image Coding for Machines via Feature-Preserving Rate-Distortion Optimization Samuel Fernández-Menduiña Eduardo Pavez Antonio Ortega 42 0 0 03 Apr 2025
Client Selection in Federated Learning with Data Heterogeneity and Network Latencies Harsh Vardhan Xiaofan Yu Tajana Rosing A. Mazumdar FedML 44 0 0 02 Apr 2025
Sim-is-More: Randomizing HW-NAS with Synthetic Devices F. Capuano Gabriele Tiboni Niccolò Cavagnero Giuseppe Averta 35 0 0 01 Apr 2025
Forward Learning with Differential Privacy Mingqian Feng Zeliang Zhang Jinyang Jiang Yijie Peng Chenliang Xu 47 0 0 01 Apr 2025
Can Diffusion Models Disentangle? A Theoretical Perspective Liming Wang Muhammad Jehanzeb Mirza Yishu Gong Yuan Gong Jiaqi Zhang Brian Tracey Katerina Placek Marco Vilela James Glass DiffM CoGe 87 0 0 31 Mar 2025
Learning a Single Index Model from Anisotropic Data with vanilla Stochastic Gradient Descent Guillaume Braun Minh Ha Quang Masaaki Imaizumi MLT 42 0 0 31 Mar 2025
Enhancing Physics-Informed Neural Networks with a Hybrid Parallel Kolmogorov-Arnold and MLP Architecture Zuyu Xu Bin Lv 41 0 0 30 Mar 2025
Towards Understanding the Optimization Mechanisms in Deep Learning Binchuan Qi Wei Gong Li Li 55 0 0 29 Mar 2025
ReLU Networks as Random Functions: Their Distribution in Probability Space Shreyas Chaudhari J. M. F. Moura 39 0 0 28 Mar 2025
Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry Chi-Ning Chou Hang Le Yichen Wang SueYeon Chung 53 0 0 23 Mar 2025
CAE: Repurposing the Critic as an Explorer in Deep Reinforcement Learning Yexin Li Pring Wong Hanfang Zhang Shuo Chen Siyuan Qi OffRL 56 0 0 23 Mar 2025
NeuroSep-CP-LCB: A Deep Learning-based Contextual Multi-armed Bandit Algorithm with Uncertainty Quantification for Early Sepsis Prediction Anni Zhou Raheem Beyah Rishikesan Kamaleswaran 46 0 0 20 Mar 2025
Sparse Nonparametric Contextual Bandits Hamish Flynn Julia Olkhovskaya Paul Rognon-Vael 56 0 0 20 Mar 2025
On the Cone Effect in the Learning Dynamics Zhanpeng Zhou Yongyi Yang Jie Ren Mahito Sugiyama Junchi Yan 53 0 0 20 Mar 2025
LIFT: Latent Implicit Functions for Task- and Data-Agnostic Encoding A. Kazerouni Soroush Mehraban Michael Brudno Babak Taati 46 0 0 19 Mar 2025
Changing Base Without Losing Pace: A GPU-Efficient Alternative to MatMul in DNNs Nir Ailon Akhiad Bercovich Omri Weinstein 59 0 0 15 Mar 2025
Neural Tangent Kernel of Neural Networks with Loss Informed by Differential Operators Weiye Gan Yicheng Li Q. Lin Zuoqiang Shi 41 0 0 14 Mar 2025
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model Moritz A. Zanger Pascal R. van der Vaart Wendelin Bohmer M. Spaan UQCV BDL 224 0 0 14 Mar 2025
Global Convergence and Rich Feature Learning in $L$ -Layer Infinite-Width Neural Networks under $μ$ P Parametrization Zixiang Chen Greg Yang Qingyue Zhao Q. Gu MLT 55 0 0 12 Mar 2025
Learning richness modulates equality reasoning in neural networks William L. Tong Cengiz Pehlevan 47 0 0 12 Mar 2025
Context-aware Biases for Length Extrapolation Ali Veisi Amir Mansourian 55 0 0 11 Mar 2025
PIED: Physics-Informed Experimental Design for Inverse Problems Apivich Hemachandra Gregory Kang Ruey Lau Szu Hui Ng Bryan Kian Hsiang Low PINN 48 0 0 10 Mar 2025
Parametric Value Approximation for General-sum Differential Games with State Constraints Lei Zhang Mukesh Ghimire Wenlong Zhang Z. Xu Yi Ren 36 0 0 10 Mar 2025
Non-vacuous Generalization Bounds for Deep Neural Networks without any modification to the trained models Khoat Than Dat Phan BDL AAML VLM 60 0 0 10 Mar 2025
Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks Devon Jarvis Richard Klein Benjamin Rosman Andrew M. Saxe MLT 69 1 0 08 Mar 2025
Uncertainty Quantification From Scaling Laws in Deep Neural Networks Ibrahim Elsharkawy Yonatan Kahn Benjamin Hooberman UQCV 54 0 0 07 Mar 2025
Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Ability Lijia Yu Yibo Miao Yifan Zhu Xiao-Shan Gao Lijun Zhang 53 0 0 06 Mar 2025
A Theory of Initialisation's Impact on Specialisation Devon Jarvis Sebastian Lee Clémentine Dominé Andrew M. Saxe Stefano Sarao Mannelli CLL 75 2 0 04 Mar 2025
Scaling Law Phenomena Across Regression Paradigms: Multiple and Kernel Approaches Yifang Chen Xuyang Guo Xiaoyu Li Yingyu Liang Zhenmei Shi Zhao Song 73 3 0 03 Mar 2025
A Near Complete Nonasymptotic Generalization Theory For Multilayer Neural Networks: Beyond the Bias-Variance Tradeoff Hao Yu Xiangyang Ji AI4CE 60 0 0 03 Mar 2025
Multi-Level Collaboration in Model Merging Qi Li Runpeng Yu Xinchao Wang MoMe FedML 97 0 0 03 Mar 2025
Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure Samet Demir Zafer Dogan MLT 36 0 0 02 Mar 2025
On the Saturation Effects of Spectral Algorithms in Large Dimensions Weihao Lu Haobo Zhang Yicheng Li Q. Lin 47 1 0 01 Mar 2025
Position: Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena (Neural Collapse, Emergence, Lazy/Rich Regime, and Grokking) Yoonsoo Nam Seok Hyeong Lee Clementine Domine Yea Chan Park Charles London Wonyl Choi Niclas Goring Seungjai Lee AI4CE 38 0 0 28 Feb 2025
Variational Bayesian Pseudo-Coreset Hyungi Lee Seanie Lee Juho Lee BDL 38 0 0 28 Feb 2025
Physics-Informed Neural Networks for Optimal Vaccination Plan in SIR Epidemic Models Minseok Kim Yeongjong Kim Yeoneung Kim PINN 85 0 0 27 Feb 2025
Training Large Neural Networks With Low-Dimensional Error Feedback Maher Hanut Jonathan Kadmon 47 1 0 27 Feb 2025
Variation Matters: from Mitigating to Embracing Zero-Shot NAS Ranking Function Variation Pavel Rumiantsev Mark Coates 55 0 0 27 Feb 2025
Automatic Prompt Optimization via Heuristic Search: A Survey Wendi Cui Jiaxin Zhang Zechao Li Hao Sun Damien Lopez Kamalika Das Bradley Malin Sricharan Kumar 38 1 0 26 Feb 2025
Feature maps for the Laplacian kernel and its generalizations Sudhendu Ahir Parthe Pandit 65 0 0 24 Feb 2025
Low-rank bias, weight decay, and model merging in neural networks Ilja Kuzborskij Yasin Abbasi-Yadkori 54 0 0 24 Feb 2025
Exact Learning of Permutations for Nonzero Binary Inputs with Logarithmic Training Size and Quadratic Ensemble Complexity George Giapitzakis Artur Back de Luca K. Fountoulakis 64 0 0 24 Feb 2025
FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning Jason Jingzhou Liu Yulong Li Kenneth Shaw Tony Tao Ruslan Salakhutdinov Deepak Pathak OffRL 67 1 0 24 Feb 2025
Convergence of Shallow ReLU Networks on Weakly Interacting Data Léo Dana Francis R. Bach Loucas Pillaud-Vivien MLT 62 1 0 24 Feb 2025