Spectra of the Conjugate Kernel and Neural Tangent Kernel for linear-width neural networks

25 May 2020

Papers citing "Spectra of the Conjugate Kernel and Neural Tangent Kernel for linear-width neural networks"

19 / 19 papers shown

Title
SHAP values via sparse Fourier representation Ali Gorji Andisheh Amrollahi A. Krause FAtt 32 0 0 08 Oct 2024
Spectral alignment of stochastic gradient descent for high-dimensional classification tasks Gerard Ben Arous Reza Gheissari Jiaoyang Huang Aukosh Jagannath 27 14 0 04 Oct 2023
On the Equivalence between Implicit and Explicit Neural Networks: A High-dimensional Viewpoint Zenan Ling Zhenyu Liao Robert C. Qiu 32 0 0 31 Aug 2023
How Spurious Features Are Memorized: Precise Analysis for Random and NTK Features Simone Bombari Marco Mondelli AAML 19 4 0 20 May 2023
On the Eigenvalue Decay Rates of a Class of Neural-Network Related Kernel Functions Defined on General Domains Yicheng Li Zixiong Yu Y. Cotronis Qian Lin 55 13 0 04 May 2023
Precise Asymptotic Analysis of Deep Random Feature Models David Bosch Ashkan Panahi B. Hassibi 30 19 0 13 Feb 2023
Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels Simone Bombari Shayan Kiyani Marco Mondelli AAML 28 10 0 03 Feb 2023
Characterizing the Spectrum of the NTK via a Power Series Expansion Michael Murray Hui Jin Benjamin Bowman Guido Montúfar 30 11 0 15 Nov 2022
Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition Jianhao Ma Li-Zhen Guo S. Fattahi 38 4 0 01 Oct 2022
High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation Jimmy Ba Murat A. Erdogdu Taiji Suzuki Zhichao Wang Denny Wu Greg Yang MLT 31 121 0 03 May 2022
Concentration of Random Feature Matrices in High-Dimensions Zhijun Chen Hayden Schaeffer Rachel A. Ward 20 6 0 14 Apr 2022
Explicitising The Implicit Intrepretability of Deep Neural Networks Via Duality Chandrashekar Lakshminarayanan Ashutosh Kumar Singh A. Rajkumar AI4CE 13 1 0 01 Mar 2022
Node Feature Kernels Increase Graph Convolutional Network Robustness M. Seddik Changmin Wu J. Lutzeyer Michalis Vazirgiannis AAML 22 8 0 04 Sep 2021
Random Neural Networks in the Infinite Width Limit as Gaussian Processes Boris Hanin BDL 24 43 0 04 Jul 2021
A Neural Tangent Kernel Perspective of GANs Jean-Yves Franceschi Emmanuel de Bézenac Ibrahim Ayed Mickaël Chen Sylvain Lamprier Patrick Gallinari 31 26 0 10 Jun 2021
Analysis of One-Hidden-Layer Neural Networks via the Resolvent Method Vanessa Piccolo Dominik Schröder 11 8 0 11 May 2021
Deep Equals Shallow for ReLU Networks in Kernel Regimes A. Bietti Francis R. Bach 23 86 0 30 Sep 2020
Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS Lin Chen Sheng Xu 30 93 0 22 Sep 2020
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime Stéphane dÁscoli Maria Refinetti Giulio Biroli Florent Krzakala 93 152 0 02 Mar 2020