Random matrix analysis of deep neural network weight matrices

28 March 2022

Papers citing "Random matrix analysis of deep neural network weight matrices"

12 / 12 papers shown

Title
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning Zhekai Du Yinjie Min Jingjing Li Ke Lu Changliang Zou Liuhua Peng Tingjin Chu Mingming Gong 166 1 0 05 Feb 2025
Asymptotics of Learning with Deep Structured (Random) Features Dominik Schröder Daniil Dmitriev Hugo Cui Bruno Loureiro 56 6 0 21 Feb 2024
The Universal Statistical Structure and Scaling Laws of Chaos and Turbulence Noam Levi Yaron Oz AI4CE 29 1 0 02 Nov 2023
The Underlying Scaling Laws and Universal Statistical Structure of Complex Datasets Noam Levi Yaron Oz 27 4 0 26 Jun 2023
A Rainbow in Deep Network Black Boxes Florentin Guth Brice Ménard G. Rochette S. Mallat 22 10 0 29 May 2023
Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability Haoyi Xiong Xuhong Li Bo Yu Zhanxing Zhu Dongrui Wu Dejing Dou NoLa 9 0 0 01 Apr 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
Boundary between noise and information applied to filtering neural network weight matrices Max Staats M. Thamm B. Rosenow 23 3 0 08 Jun 2022
Universal characteristics of deep neural network loss surfaces from random matrix theory Nicholas P. Baskerville J. Keating F. Mezzadri J. Najnudel Diego Granziol 24 4 0 17 May 2022
Physics-informed generative neural network: an application to troposphere temperature prediction Zhihao Chen Jie Gao Weikai Wang Zheng Yan AI4CE 24 17 0 08 Jul 2021
Fast inference of deep neural networks in FPGAs for particle physics Javier Mauricio Duarte Song Han Philip C. Harris S. Jindariani E. Kreinar ... J. Ngadiuba M. Pierini R. Rivera N. Tran Zhenbin Wu AI4CE 75 387 0 16 Apr 2018
Cleaning large correlation matrices: tools from random matrix theory J. Bun J. Bouchaud M. Potters 32 262 0 25 Oct 2016