Largest Eigenvalues of the Conjugate Kernel of Single-Layered Neural Networks

13 January 2022

Papers citing "Largest Eigenvalues of the Conjugate Kernel of Single-Layered Neural Networks"

10 / 10 papers shown

Title
A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities Yatin Dandi Luca Pesce Hugo Cui Florent Krzakala Yue M. Lu Bruno Loureiro MLT 37 1 0 24 Oct 2024
Universality for the global spectrum of random inner-product kernel matrices in the polynomial regime S. Dubova Yue M. Lu Benjamin McKenna H. Yau 13 4 0 27 Oct 2023
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks Behrad Moniri Donghwan Lee Hamed Hassani Yan Sun MLT 40 19 0 11 Oct 2023
Deterministic equivalent of the Conjugate Kernel matrix associated to Artificial Neural Networks Clément Chouard 28 2 0 09 Jun 2023
Spectral Evolution and Invariance in Linear-width Neural Networks Zhichao Wang A. Engel Anand D. Sarwate Ioana Dumitriu Tony Chiang 40 14 0 11 Nov 2022
Overparameterized random feature regression with nearly orthogonal data Zhichao Wang Yizhe Zhu 26 3 0 11 Nov 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 40 121 0 03 May 2022
Random matrices in service of ML footprint: ternary random features with no performance loss Hafiz Tiomoko Ali Zhenyu Liao Romain Couillet 44 7 0 05 Oct 2021
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,746 0 26 Sep 2016
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 183 1,185 0 30 Nov 2014