eigenvalue analysis

High-dimensional SGD aligns with emerging outlier eigenspaces ICLR 2024 Learning Structured Representations with Hyperbolic Embeddings NeurIPS 2024 Eigenspace Restructuring: A Principle of Space and Frequency in Neural Networks COLT 2022 Detection of Signal in the Spiked Rectangular Models ICML 2021 Functional Space Analysis of Local GAN Convergence ICML 2021 VECA: A Method for Detecting Overfitting in Neural Networks (Student Abstract) AAAI 2020 Data-Dependence of Plateau Phenomenon in Learning with Neural Network --- Statistical Mechanical Analysis NeurIPS 2019 The Adversarial Attack and Detection under the Fisher Information Metric AAAI 2019 Nonlinear random matrix theory for deep learning NeurIPS 2017 The Numerics of GANs NeurIPS 2017 An Efficient Statistical Method for Image Noise Level Estimation ICCV 2015 On the Limitation of Spectral Methods: From the Gaussian Hidden Clique Problem to Rank-One Perturbations of Gaussian Tensors NeurIPS 2015 Generalizing Analytic Shrinkage for Arbitrary Covariance Structures NeurIPS 2013 Feature Discovery in Non-Metric Pairwise Data JMLR 2004