Spectral Estimators for High-Dimensional Matrix Inference

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Spectral Estimators for High-Dimensional Matrix Inference

Chat with Graph Search

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Probing the latent hierarchical structure of data via diffusion models

What can radars tell us about snowfall microphysics? Insights from a Markov chain Monte-Carlo approach

A phase transition between positional and semantic learning in a solvable model of dot-product attention

Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression

Kriging‐variance‐based multi‐member ensembles of radar–rain‐gauge precipitation estimates: Application in Switzerland

Partial discharge localization in power transformer tanks using machine learning methods

Effective muscle synergies extraction pipeline to characterise the Box and Block Test movement

Stability: a search for structure

Seebeck Coefficient of Ionic Conductors from Bayesian Regression Analysis

Crypto market betas: the limits of predictability and hedging

Eflop: a Sparsity-aware Metric for Evaluating Computational Cost in Spiking and Non-spiking Neural Networks

On Speed and Advantage : Results in Information Velocity and Monitoring Problems

Extensions of Peer Prediction Incentive Mechanisms

Discrete choice modeling in the era of big data

Health Prediction for Lithium-Ion Batteries Under Unseen Working Conditions

Hitting with Probability One for Stochastic Heat Equations with Additive Noise

Data and scripts for the RaFSIP scheme

Data-driven statistical optimization of a groundwater monitoring network

On the use of Cramér-Rao Lower Bound for least-variance circuit parameters identification of Li-ion cells