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Signal-Plus-Noise Decomposition of Nonlinear Spiked Random Matrix Models

Signal-Plus-Noise Decomposition of Nonlinear Spiked Random Matrix Models

28 May 2024
Behrad Moniri
Hamed Hassani
ArXivPDFHTML

Papers citing "Signal-Plus-Noise Decomposition of Nonlinear Spiked Random Matrix Models"

3 / 3 papers shown
Title
Nonlinear spiked covariance matrices and signal propagation in deep
  neural networks
Nonlinear spiked covariance matrices and signal propagation in deep neural networks
Zhichao Wang
Denny Wu
Zhou Fan
32
7
0
15 Feb 2024
Asymptotics of feature learning in two-layer networks after one
  gradient-step
Asymptotics of feature learning in two-layer networks after one gradient-step
Hugo Cui
Luca Pesce
Yatin Dandi
Florent Krzakala
Yue M. Lu
Lenka Zdeborová
Bruno Loureiro
MLT
44
16
0
07 Feb 2024
The Benefits of Reusing Batches for Gradient Descent in Two-Layer
  Networks: Breaking the Curse of Information and Leap Exponents
The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents
Yatin Dandi
Emanuele Troiani
Luca Arnaboldi
Luca Pesce
Lenka Zdeborová
Florent Krzakala
MLT
59
24
0
05 Feb 2024
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