:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Barbier, Jean, Camilli, Francesco, Ko, Justin, Okajima, Koki
Format:	Preprint
Published:	2024
Subjects:	Disordered Systems and Neural Networks Information Theory Machine Learning
Online Access:	https://arxiv.org/abs/2411.01974
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Deep ReLU networks -- injectivity capacity upper bounds
by: Stojnic, Mihailo
Published: (2024)

Injectivity capacity of ReLU gates
by: Stojnic, Mihailo
Published: (2024)

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

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

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

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

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

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

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

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

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

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

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