Saved in:
| Main Author: | Massa, Emanuele |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.18995 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Observable asymptotics of regularized Cox regression models with standard Gaussian designs: a statistical mechanics approach
by: Massa, Emanuele, et al.
Published: (2024)
by: Massa, Emanuele, et al.
Published: (2024)
Precise asymptotic analysis of Sobolev training for random feature models
by: Fisher, Katharine E, et al.
Published: (2025)
by: Fisher, Katharine E, 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)
by: Camilli, Francesco, et al.
Published: (2025)
Statistical mechanics of transfer learning in fully-connected networks in the proportional limit
by: Ingrosso, Alessandro, et al.
Published: (2024)
by: Ingrosso, Alessandro, et al.
Published: (2024)
BBP transition and the leading eigenvector of the spiked Wigner model with inhomogeneous noise
by: Ferreira, Leonardo S., et al.
Published: (2026)
by: Ferreira, Leonardo S., et al.
Published: (2026)
High-dimensional random landscapes: from typical to large deviations
by: Ros, Valentina
Published: (2025)
by: Ros, Valentina
Published: (2025)
Explicit mutual information for simple networks and neurons with lognormal activities
by: Chwiłka, Maurycy, et al.
Published: (2023)
by: Chwiłka, Maurycy, et al.
Published: (2023)
Predictive power of a Bayesian effective action for fully-connected one hidden layer neural networks in the proportional limit
by: Baglioni, P., et al.
Published: (2024)
by: Baglioni, P., et al.
Published: (2024)
A Friendly Tutorial on Mean-Field Spin Glass Techniques for Non-Physicists
by: Montanari, Andrea, et al.
Published: (2022)
by: Montanari, Andrea, et al.
Published: (2022)
Low-rank Matrix Estimation with Inhomogeneous Noise
by: Guionnet, Alice, et al.
Published: (2022)
by: Guionnet, Alice, et al.
Published: (2022)
Role of Bootstrap Averaging in Generalized Approximate Message Passing
by: Takahashi, Takashi
Published: (2023)
by: Takahashi, Takashi
Published: (2023)
Replica Analysis for Ensemble Techniques in Variable Selection
by: Takahashi, Takashi
Published: (2024)
by: Takahashi, Takashi
Published: (2024)
Spectral Phase Transition and Optimal PCA in Block-Structured Spiked models
by: Mergny, Pierre, et al.
Published: (2024)
by: Mergny, Pierre, et al.
Published: (2024)
Variational Gaussian Approximation in Replica Analysis of Parametric Models
by: Takahashi, Takashi
Published: (2025)
by: Takahashi, Takashi
Published: (2025)
Spectral Thresholds in Correlated Spiked Models and Fundamental Limits of Partial Least Squares
by: Mergny, Pierre, et al.
Published: (2025)
by: Mergny, Pierre, et al.
Published: (2025)
Generalization Dynamics of Linear Diffusion Models
by: Merger, Claudia, et al.
Published: (2025)
by: Merger, Claudia, et al.
Published: (2025)
High-dimensional robust regression under heavy-tailed data: Asymptotics and Universality
by: Adomaityte, Urte, et al.
Published: (2023)
by: Adomaityte, Urte, et al.
Published: (2023)
Statistical Mechanics of Min-Max Problems
by: Ichikawa, Yuma, et al.
Published: (2024)
by: Ichikawa, Yuma, et al.
Published: (2024)
Asymmetric Scaling Laws from Sparse Features
by: Sous, John, et al.
Published: (2026)
by: Sous, John, et al.
Published: (2026)
Classification of Heavy-tailed Features in High Dimensions: a Superstatistical Approach
by: Adomaityte, Urte, et al.
Published: (2023)
by: Adomaityte, Urte, et al.
Published: (2023)
Compressed sensing with l0-norm: statistical physics analysis and algorithms for signal recovery
by: Barbier, D., et al.
Published: (2023)
by: Barbier, D., et al.
Published: (2023)
Kernel Density Estimators in Large Dimensions
by: Biroli, Giulio, et al.
Published: (2024)
by: Biroli, Giulio, et al.
Published: (2024)
On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generalization Bounds
by: Vilucchio, Matteo, et al.
Published: (2024)
by: Vilucchio, Matteo, et al.
Published: (2024)
Asymptotics of Learning with Deep Structured (Random) Features
by: Schröder, Dominik, et al.
Published: (2024)
by: Schröder, Dominik, et al.
Published: (2024)
The replica-symmetric free energy for Ising spin glasses with orthogonally invariant couplings
by: Fan, Zhou, et al.
Published: (2021)
by: Fan, Zhou, et al.
Published: (2021)
Some observations on the ambivalent role of symmetries in Bayesian inference problems
by: Semerjian, Guilhem
Published: (2025)
by: Semerjian, Guilhem
Published: (2025)
Matrix denoising: Bayes-optimal estimators via low-degree polynomials
by: Semerjian, Guilhem
Published: (2024)
by: Semerjian, Guilhem
Published: (2024)
Distribution of singular values in large sample cross-covariance matrices
by: Swain, Arabind, et al.
Published: (2025)
by: Swain, Arabind, et al.
Published: (2025)
A theoretical perspective on mode collapse in variational inference
by: Soletskyi, Roman, et al.
Published: (2024)
by: Soletskyi, Roman, et al.
Published: (2024)
The Role of Pseudo-labels in Self-training Linear Classifiers on High-dimensional Gaussian Mixture Data
by: Takahashi, Takashi
Published: (2022)
by: Takahashi, Takashi
Published: (2022)
Tensor networks for $p$-spin models
by: Lanthier, Benjamin, et al.
Published: (2024)
by: Lanthier, Benjamin, et al.
Published: (2024)
Boomerang effect in classical stochastic models
by: Zamora, Santiago, et al.
Published: (2024)
by: Zamora, Santiago, et al.
Published: (2024)
Hopfield model for patterns with internal structure
by: Nieuwenhuizen, Theodorus Maria
Published: (2026)
by: Nieuwenhuizen, Theodorus Maria
Published: (2026)
Three state random energy model
by: Sumedha, et al.
Published: (2024)
by: Sumedha, et al.
Published: (2024)
The localized phase of the Anderson model on the Bethe lattice
by: Rizzo, Tommaso, et al.
Published: (2024)
by: Rizzo, Tommaso, et al.
Published: (2024)
Heterogeneous nucleation in the random field Ising model
by: Yao, Liheng, et al.
Published: (2023)
by: Yao, Liheng, et al.
Published: (2023)
The phase boundary of the random site Ising model
by: Zinati, Riccardo Ben Alì, et al.
Published: (2026)
by: Zinati, Riccardo Ben Alì, et al.
Published: (2026)
Spin cones in random-field XY models
by: Pereira, Rajiv G, et al.
Published: (2024)
by: Pereira, Rajiv G, et al.
Published: (2024)
Factual recall in linear associative memories: sharp asymptotics and mechanistic insights
by: Giorlandino, Alessio, et al.
Published: (2026)
by: Giorlandino, Alessio, et al.
Published: (2026)
Transition path sampling in Ising models on heterogeneous graphs
by: Cipolloni, Riccardo, et al.
Published: (2026)
by: Cipolloni, Riccardo, et al.
Published: (2026)
Similar Items
-
Observable asymptotics of regularized Cox regression models with standard Gaussian designs: a statistical mechanics approach
by: Massa, Emanuele, et al.
Published: (2024) -
Precise asymptotic analysis of Sobolev training for random feature models
by: Fisher, Katharine E, 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) -
Statistical mechanics of transfer learning in fully-connected networks in the proportional limit
by: Ingrosso, Alessandro, et al.
Published: (2024) -
BBP transition and the leading eigenvector of the spiked Wigner model with inhomogeneous noise
by: Ferreira, Leonardo S., et al.
Published: (2026)