spectral distribution

Bayesian Treatment of the Spectrum of the Empirical Kernel in (Sub)Linear-Width Neural Networks ICLR 2025 Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime JMLR 2025 A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta. ICLR 2023 Only tails matter: Average-Case Universality and Robustness in the Convex Regime ICML 2022 Fre-GAN: Adversarial Frequency-Consistent Audio Synthesis Interspeech 2021 Structure-Aware Random Fourier Kernel for Graphs NeurIPS 2021 The Spectrum of Fisher Information of Deep Networks Achieving Dynamical Isometry AISTATS 2021 Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions CVPR 2020 Implicit Kernel Learning AISTATS 2019 Geometry of Neural Network Loss Surfaces via Random Matrix Theory ICML 2017 Nonlinear random matrix theory for deep learning NeurIPS 2017 Bayesian Nonparametric Kernel-Learning AISTATS 2016