Co-occurring keywords · papers mentioning both
Papers
Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion
ICLR 2025
Nonlinear spiked covariance matrices and signal propagation in deep neural networks
COLT 2024
Does the Data Induce Capacity Control in Deep Learning?
ICML 2022
Does the Geometry of the Data Control the Geometry of Neural Predictions? (Student Abstract)
AAAI 2022
Analytic Characterization of the Hessian in Shallow ReLU Models: A Tale of Symmetry
NeurIPS 2020
An Investigation into Neural Net Optimization via Hessian Eigenvalue Density
ICML 2019
The Spectrum of the Fisher Information Matrix of a Single-Hidden-Layer Neural Network
NeurIPS 2018
Information Bottleneck for Gaussian Variables
JMLR 2005