Poster "random matrix theory" Papers
10 papers found
Conference
Bayesian Treatment of the Spectrum of the Empirical Kernel in (Sub)Linear-Width Neural Networks
Ouns El Harzli, Bernardo Grau
ICLR 2025
Bayes optimal learning of attention-indexed models
Fabrizio Boncoraglio, Emanuele Troiani, Vittorio Erba et al.
NEURIPS 2025arXiv:2506.01582
2
citations
Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion
Enrico Ventura, Beatrice Achilli, Gianluigi Silvestri et al.
ICLR 2025arXiv:2410.05898
23
citations
Newton Meets Marchenko-Pastur: Massively Parallel Second-Order Optimization with Hessian Sketching and Debiasing
Elad Romanov, Fangzhao Zhang, Mert Pilanci
ICLR 2025arXiv:2410.01374
2
citations
Weight matrices compression based on PDB model in deep neural networks
Xiaoling Wu, Junpeng Zhu, Zeng Li
ICML 2025
Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum
Tin Sum Cheng, Aurelien Lucchi, Anastasis Kratsios et al.
ICML 2024arXiv:2402.01297
12
citations
Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures
Zenan Ling, Longbo Li, Zhanbo Feng et al.
ICML 2024arXiv:2402.02697
7
citations
No Double Descent in Principal Component Regression: A High-Dimensional Analysis
Daniel Gedon, Antonio Ribeiro, Thomas Schön
ICML 2024
Random matrix theory improved Fréchet mean of symmetric positive definite matrices
Florent Bouchard, Ammar Mian, Malik TIOMOKO et al.
ICML 2024arXiv:2405.06558
1
citations
Spectral Phase Transition and Optimal PCA in Block-Structured Spiked Models
Pierre Mergny, Justin Ko, FLORENT KRZAKALA
ICML 2024arXiv:2403.03695
6
citations