Copertina

Distribution of singular values in large sample cross-covariance matrices

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Swain, Arabind, Ridout, Sean Alexander, Nemenman, Ilya
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Statistics Theory Disordered Systems and Neural Networks Data Analysis, Statistics and Probability
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Better Together: Cross and Joint Covariances Enhance Signal Detectability in Undersampled Data
di: Swain, Arabind, et al.
Pubblicazione: (2025)

Spectral density of correlated random matrices and nonmonotonic stability in hetero-associative memory networks
di: Tomoto, Arata, et al.
Pubblicazione: (2025)

Inhomogeneous random graphs with infinite-mean fitness variables
di: Avena, Luca, et al.
Pubblicazione: (2022)

Learning and Testing Inverse Statistical Problems For Interacting Systems Undergoing Phase Transition
di: Bae, Stefano, et al.
Pubblicazione: (2025)

Orthogonal projections of hypercubes
di: Horiike, Yoshiaki, et al.
Pubblicazione: (2025)

Supervised and unsupervised learning of the many-body critical phase, phase transitions, and critical exponents in disordered quantum systems
di: Ahmed, Aamna, et al.
Pubblicazione: (2025)

Non-parametric learning critical behavior in Ising partition functions: PCA entropy and intrinsic dimension
di: Panda, Rajat K., et al.
Pubblicazione: (2023)

Gaussian approximation of dynamic cavity equations for linearly-coupled stochastic dynamics
di: Tarabolo, Mattia, et al.
Pubblicazione: (2024)

Principal component analysis of absorbing state phase transitions
di: Muzzi, Cristiano, et al.
Pubblicazione: (2024)

Multilayer directed random networks: Scaling of spectral properties
di: Tapia-Labra, G., et al.
Pubblicazione: (2024)

Large Deviation Properties of Minimum Spanning Trees for Random Graphs
di: Sarikhani, Mahdi, et al.
Pubblicazione: (2025)

Network Renormalization
di: Gabrielli, Andrea, et al.
Pubblicazione: (2024)

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks
di: Ersoy, Ibrahim Talha, et al.
Pubblicazione: (2025)

Thermal transitions in a one-dimensional, finite-size Ising model
di: Stepanyan, Varazdat, et al.
Pubblicazione: (2023)

Anatomy of the eigenstates distribution: a quest for a genuine multifractality
di: Kutlin, Anton, et al.
Pubblicazione: (2023)

Activation Functions, Statistics and Learning of Higher-Order Interactions in Restricted Boltzmann Machines
di: di Sarra, Giovanni, et al.
Pubblicazione: (2026)

q-Gaussian Crossover in Overlap Spectra towards 3D Edwards-Anderson Criticality
di: Onder, Yaprak, et al.
Pubblicazione: (2026)

Extreme-Value Criticality and Gain Decomposition at the Integer Quantum Hall Transition
di: Li, Wei-Han, et al.
Pubblicazione: (2026)

Small-Coupling Dynamic Cavity: a Bayesian mean-field framework for epidemic inference
di: Braunstein, Alfredo, et al.
Pubblicazione: (2023)

Random Matrix Spectra from Boltzmann-Weighted Lattice Ensembles
di: Önder, Yaprak, et al.
Pubblicazione: (2026)

Recurrence Plots for the Analysis of Complex Systems
di: Marwan, Norbert, et al.
Pubblicazione: (2025)

The unbearable lightness of Restricted Boltzmann Machines: Theoretical Insights and Biological Applications
di: di Sarra, Giovanni, et al.
Pubblicazione: (2025)

Congestion and extreme events in urban street networks
di: Agarwal, Ajay, et al.
Pubblicazione: (2025)

Effective Method for Inverse Ising Problem under Missing Observations in Restricted Boltzmann Machines
di: Sekimoto, Kaiji, et al.
Pubblicazione: (2025)

Navigating the Evolution of Two-dimensional Carbon Nitride Research: Integrating Machine Learning into Conventional Approaches
di: Mondal, Deep, et al.
Pubblicazione: (2025)

Active and transfer learning with partially Bayesian neural networks for materials and chemicals
di: Allec, Sarah I., et al.
Pubblicazione: (2025)

Lost in Retraining: Roaming the Parameter Space of Exponential Families Under Closed-Loop Learning
di: Jangjoo, Fariba, et al.
Pubblicazione: (2025)

Beyond traditional box-covering: Determining the fractal dimension of complex networks using a fixed number of boxes of flexible diameter
di: Lepek, Michal, et al.
Pubblicazione: (2025)

An integrative dynamical perspective for graph theory and the study of complex networks
di: Zamora-López, Gorka, et al.
Pubblicazione: (2023)

Regressing bubble cluster dynamics as a disordered many-body system
di: Maeda, Kazuki, et al.
Pubblicazione: (2021)

Machine Learning Symmetry Discovery for Integrable Hamiltonian Dynamics
di: Hou, Wanda, et al.
Pubblicazione: (2024)

Computed Tomography Reconstruction Algorithm Using Markov Random Field Model
di: Shimomiya, Taiga, et al.
Pubblicazione: (2026)

Fitting an ellipsoid to random points: predictions using the replica method
di: Maillard, Antoine, et al.
Pubblicazione: (2023)

The phenomenological renormalization group in neuronal models near criticality
di: Nascimento, Kaio F. R., et al.
Pubblicazione: (2025)

On the growing length scale in a replica-coupled glassforming liquid
di: Küchler, Niklas, et al.
Pubblicazione: (2024)

Optimality and annealing path planning of dynamical analog solvers
di: Zhou, Shu, et al.
Pubblicazione: (2026)

Faster algorithms for the alignment of sparse correlated Erdös-Rényi random graphs
di: Muratori, Andrea, et al.
Pubblicazione: (2024)

Exact threshold for approximate ellipsoid fitting of random points
di: Bandeira, Afonso S., et al.
Pubblicazione: (2023)

A Friendly Tutorial on Mean-Field Spin Glass Techniques for Non-Physicists
di: Montanari, Andrea, et al.
Pubblicazione: (2022)

Low-rank Matrix Estimation with Inhomogeneous Noise
di: Guionnet, Alice, et al.
Pubblicazione: (2022)