{"total":54,"rows":[{"id":"2211.11567","title":"Neural networks trained with SGD learn distributions of increasing complexity","created":"2022-11-21","cited_by_count":50,"area":null},{"id":"2405.09786","title":"IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency","created":"2024-05-16","cited_by_count":39,"area":null},{"id":"2402.04980","title":"Asymptotics of feature learning in two-layer networks after one gradient-step","created":"2024-02-07","cited_by_count":38,"area":null},{"id":"2402.03902","title":"A phase transition between positional and semantic learning in a solvable model of dot-product attention","created":"2024-02-06","cited_by_count":30,"area":null},{"id":"2302.08933","title":"Universality laws for Gaussian mixtures in generalized linear models","created":"2023-02-17","cited_by_count":28,"area":null},{"id":"2205.13303","title":"Gaussian Universality of Perceptrons with Random Labels","created":"2022-05-26","cited_by_count":26,"area":null},{"id":"2302.08923","title":"Are Gaussian data all you need? Extents and limits of universality in high-dimensional generalized linear estimation","created":"2023-02-17","cited_by_count":26,"area":null},{"id":"2106.05418","title":"Probing transfer learning with a model of synthetic correlated datasets","created":"2021-06-09","cited_by_count":25,"area":null},{"id":"2201.13383","title":"Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension","created":"2022-01-31","cited_by_count":19,"area":null},{"id":"2305.11041","title":"High-dimensional Asymptotics of Denoising Autoencoders","created":"2023-05-18","cited_by_count":19,"area":null},{"id":"2202.03295","title":"Theoretical characterization of uncertainty in high-dimensional linear classification","created":"2022-02-07","cited_by_count":18,"area":null},{"id":"2309.16476","title":"High-dimensional robust regression under heavy-tailed data: Asymptotics and Universality","created":"2023-09-28","cited_by_count":15,"area":null},{"id":"2502.20003","title":"Asymptotics of Non-Convex Generalized Linear Models in High-Dimensions: A proof of the replica formula","created":"2025-02-27","cited_by_count":14,"area":null},{"id":"2409.13904","title":"High-dimensional learning of narrow neural networks","created":"2024-09-20","cited_by_count":12,"area":null},{"id":"2304.02912","title":"Classification of Heavy-tailed Features in High Dimensions: a Superstatistical Approach","created":"2023-04-06","cited_by_count":11,"area":null},{"id":"2505.17958","title":"The Nuclear Route: Sharp Asymptotics of ERM in Overparameterized Quadratic Networks","created":"2025-05-23","cited_by_count":11,"area":null},{"id":"2505.24849","title":"Statistical mechanics of extensive-width Bayesian neural networks near interpolation","created":"2025-05-30","cited_by_count":9,"area":null},{"id":"2311.02270","title":"Regularized Linear Regression for Binary Classification","created":"2023-11-03","cited_by_count":7,"area":null},{"id":"2402.05674","title":"A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs","created":"2024-02-08","cited_by_count":7,"area":null},{"id":"2509.24914","title":"Single-Head Attention in High Dimensions: A Theory of Generalization, Weights Spectra, and Scaling Laws","created":"2025-09-29","cited_by_count":6,"area":null},{"id":"2204.06990","title":"Observable adjustments in single-index models for regularized M-estimators","created":"2022-04-14","cited_by_count":5,"area":null},{"id":"2303.02048","title":"Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixture","created":"2023-03-03","cited_by_count":4,"area":null},{"id":"2305.14689","title":"Least Squares Regression Can Exhibit Under-Parameterized Double Descent","created":"2023-05-24","cited_by_count":4,"area":null},{"id":"2402.07356","title":"A Novel Gaussian Min-Max Theorem and its Applications","created":"2024-02-12","cited_by_count":4,"area":null},{"id":"2402.13622","title":"Analysis of Bootstrap and Subsampling in High-dimensional Regularized Regression","created":"2024-02-21","cited_by_count":4,"area":null},{"id":"2404.09779","title":"A replica analysis of under-bagging","created":"2024-04-15","cited_by_count":4,"area":null},{"id":"2410.05609","title":"The Breakdown of Gaussian Universality in Classification of High-dimensional Linear Factor Mixtures","created":"2024-10-08","cited_by_count":4,"area":null},{"id":"2503.00856","title":"Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure","created":"2025-03-02","cited_by_count":4,"area":null},{"id":"2305.17825","title":"Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-Dimensions","created":"2023-05-28","cited_by_count":3,"area":null},{"id":"2306.13255","title":"Precise Asymptotic Generalization for Multiclass Classification with Overparameterized Linear Models","created":"2023-06-23","cited_by_count":3,"area":null},{"id":"2312.14922","title":"Learning from higher-order statistics, efficiently: hypothesis tests, random features, and neural networks","created":"2023-12-22","cited_by_count":3,"area":null},{"id":"2402.11742","title":"Balanced Data, Imbalanced Spectra: Unveiling Class Disparities with Spectral Imbalance","created":"2024-02-18","cited_by_count":2,"area":null},{"id":"2410.16150","title":"Modeling Structured Data Learning with Restricted Boltzmann Machines in the Teacher-Student Setting","created":"2024-10-21","cited_by_count":2,"area":"distill"},{"id":"2501.16226","title":"The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model","created":"2025-01-27","cited_by_count":2,"area":"distill"},{"id":"2506.12454","title":"On the Existence of Consistent Adversarial Attacks in High-Dimensional Linear Classification","created":"2025-06-14","cited_by_count":2,"area":null},{"id":"2112.01292","title":"Optimal regularizations for data generation with probabilistic graphical models","created":"2021-12-02","cited_by_count":1,"area":null},{"id":"2205.14683","title":"The impact of memory on learning sequence-to-sequence tasks","created":"2022-05-29","cited_by_count":1,"area":null},{"id":"2402.08676","title":"A Convergence Analysis of Approximate Message Passing with Non-Separable Functions and Applications to Multi-Class Classification","created":"2024-02-13","cited_by_count":1,"area":null},{"id":"2402.10474","title":"One-Bit Quantization and Sparsification for Multiclass Linear Classification with Strong Regularization","created":"2024-02-16","cited_by_count":1,"area":null},{"id":"2409.05598","title":"When resampling/reweighting improves feature learning in imbalanced classification?: A toy-model study","created":"2024-09-09","cited_by_count":1,"area":null},{"id":"2501.18530","title":"Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation","created":"2025-01-30","cited_by_count":1,"area":"distill"},{"id":"2506.20025","title":"Thumb on the Scale: Optimal Loss Weighting in Last Layer Retraining","created":"2025-06-24","cited_by_count":1,"area":null},{"id":"2509.21174","title":"Breaking the curse of dimensionality for linear rules: optimal predictors over the ellipsoid","created":"2025-09-25","cited_by_count":1,"area":null},{"id":"2604.03146","title":"Characterization of Gaussian Universality Breakdown in High-Dimensional Empirical Risk Minimization","created":"2026-04-03","cited_by_count":1,"area":null},{"id":"2201.09986","title":"Bayesian Inference with Nonlinear Generative Models: Comments on Secure Learning","created":"2022-01-19","cited_by_count":0,"area":null},{"id":"2405.18427","title":"Classifying Overlapping Gaussian Mixtures in High Dimensions: From Optimal Classifiers to Neural Nets","created":"2024-05-28","cited_by_count":0,"area":null},{"id":"2410.19950","title":"Statistical Inference in Classification of High-dimensional Gaussian Mixture","created":"2024-10-25","cited_by_count":0,"area":null},{"id":"2411.19553","title":"Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm","created":"2024-11-29","cited_by_count":0,"area":null},{"id":"2501.07741","title":"Gaussian Universality for Diffusion Models","created":"2025-01-13","cited_by_count":0,"area":"diffusion"},{"id":"2510.24616","title":"Statistical physics of deep learning: Optimal learning of a multi-layer perceptron near interpolation","created":"2025-10-28","cited_by_count":0,"area":null},{"id":"2603.18483","title":"Precise Performance of Linear Denoisers in the Proportional Regime","created":"2026-03-19","cited_by_count":0,"area":null},{"id":"2605.22481","title":"When Stronger Triggers Backfire: A High-Dimensional Theory of Backdoor Attacks","created":"2026-05-21","cited_by_count":0,"area":null},{"id":"2606.31110","title":"Explaining Machine Learning and Memorization with Statistical Mechanics","created":"2026-06-30","cited_by_count":0,"area":null},{"id":"2610.20075","title":"A Large-Dimensional Analysis of Least-Squares Federated Learning via Generalized Total Variation Minimization","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}