:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Barbier, Jean, Camilli, Francesco, Ko, Justin, Okajima, Koki
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Disordered Systems and Neural Networks Information Theory Machine Learning
Accesso online:	https://arxiv.org/abs/2411.01974
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Statistical mechanics of extensive-width Bayesian neural networks near interpolation
di: Barbier, Jean, et al.
Pubblicazione: (2025)

Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation
di: Barbier, Jean, et al.
Pubblicazione: (2025)

Information-theoretic reduction of deep neural networks to linear models in the overparametrized proportional regime
di: Camilli, Francesco, et al.
Pubblicazione: (2025)

Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noise
di: Barbier, Jean, et al.
Pubblicazione: (2024)

A multiscale cavity method for sublinear-rank symmetric matrix factorization
di: Barbier, Jean, et al.
Pubblicazione: (2024)

Statistical physics of deep learning: Optimal learning of a multi-layer perceptron near interpolation
di: Barbier, Jean, et al.
Pubblicazione: (2025)

The phase diagram of compressed sensing with $\ell_0$-norm regularization
di: Barbier, Damien, et al.
Pubblicazione: (2024)

Sharp feature-learning transitions and Bayes-optimal neural scaling laws in extensive-width networks
di: Nguyen, Minh-Toan, et al.
Pubblicazione: (2026)

Transfer Learning in $\ell_1$ Regularized Regression: Hyperparameter Selection Strategy based on Sharp Asymptotic Analysis
di: Okajima, Koki, et al.
Pubblicazione: (2024)

Asymptotic Dynamics of Alternating Minimization for Bilinear Regression
di: Okajima, Koki, et al.
Pubblicazione: (2024)

The replica-symmetric free energy for Ising spin glasses with orthogonally invariant couplings
di: Fan, Zhou, et al.
Pubblicazione: (2021)

Parametric RDT approach to computational gap of symmetric binary perceptron
di: Stojnic, Mihailo
Pubblicazione: (2026)

Ultrametric OGP - parametric RDT \emph{symmetric} binary perceptron connection
di: Stojnic, Mihailo
Pubblicazione: (2026)

Exact Replica Symmetric solution for transverse field Hopfield model under finite Trotter size
di: Okajima, Koki, et al.
Pubblicazione: (2024)

Bayes-optimal learning of an extensive-width neural network from quadratically many samples
di: Maillard, Antoine, et al.
Pubblicazione: (2024)

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

Information-theoretic limits and approximate message-passing for high-dimensional time series
di: Tieplova, Daria, et al.
Pubblicazione: (2025)

Compressed sensing with l0-norm: statistical physics analysis and algorithms for signal recovery
di: Barbier, D., et al.
Pubblicazione: (2023)

On the phase diagram of the multiscale mean-field spin-glass
di: Camilli, Francesco, et al.
Pubblicazione: (2024)

Graphical model for factorization and completion of relatively high rank tensors by sparse sampling
di: Cavaliere, Angelo Giorgio, et al.
Pubblicazione: (2025)

Spectral Phase Transition and Optimal PCA in Block-Structured Spiked models
di: Mergny, Pierre, et al.
Pubblicazione: (2024)

Matrix denoising: Bayes-optimal estimators via low-degree polynomials
di: Semerjian, Guilhem
Pubblicazione: (2024)

When resampling/reweighting improves feature learning in imbalanced classification?: A toy-model study
di: Obuchi, Tomoyuki, et al.
Pubblicazione: (2024)

Rare dense solutions clusters in asymmetric binary perceptrons -- local entropy via fully lifted RDT
di: Stojnic, Mihailo
Pubblicazione: (2025)

Single-Head Attention in High Dimensions: A Theory of Generalization, Weights Spectra, and Scaling Laws
di: Boncoraglio, Fabrizio, et al.
Pubblicazione: (2025)

Bayes optimal learning of attention-indexed models
di: Boncoraglio, Fabrizio, et al.
Pubblicazione: (2025)

Storage capacity of perceptron with variable selection
di: Xu, Yingying, et al.
Pubblicazione: (2025)

Deep ReLU networks -- injectivity capacity upper bounds
di: Stojnic, Mihailo
Pubblicazione: (2024)

Injectivity capacity of ReLU gates
di: Stojnic, Mihailo
Pubblicazione: (2024)

The Nuclear Route: Sharp Asymptotics of ERM in Overparameterized Quadratic Networks
di: Erba, Vittorio, et al.
Pubblicazione: (2025)

A universal compression theory for lottery ticket hypothesis and neural scaling laws
di: Wang, Hong-Yi, et al.
Pubblicazione: (2025)

Binary perceptron computational gap -- a parametric fl RDT view
di: Stojnic, Mihailo
Pubblicazione: (2025)

Exact capacity of the \emph{wide} hidden layer treelike neural networks with generic activations
di: Stojnic, Mihailo
Pubblicazione: (2024)

Fixed width treelike neural networks capacity analysis -- generic activations
di: Stojnic, Mihailo
Pubblicazione: (2024)

Capacity of the Hebbian-Hopfield network associative memory
di: Stojnic, Mihailo
Pubblicazione: (2024)

Fundamental Limits of Matrix Sensing: Exact Asymptotics, Universality, and Applications
di: Xu, Yizhou, et al.
Pubblicazione: (2025)

Generalization performance of narrow one-hidden layer networks in the teacher-student setting
di: Ortiz, Rodrigo Pérez, et al.
Pubblicazione: (2025)

Phase transition in compressed sensing using log-sum penalty and adaptive smoothing
di: Morita, Keisuke, et al.
Pubblicazione: (2026)

Macroscopic Analysis of Vector Approximate Message Passing in a Model Mismatch Setting
di: Takahashi, Takashi, et al.
Pubblicazione: (2020)

Statistical mechanics of the maximum-average submatrix problem
di: Erba, Vittorio, et al.
Pubblicazione: (2023)