{"total":18,"rows":[{"id":"2310.07891","title":"A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks","created":"2023-10-11","cited_by_count":49,"area":null},{"id":"2406.01581","title":"Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit","created":"2024-06-03","cited_by_count":46,"area":null},{"id":"2408.07254","title":"Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics","created":"2024-08-14","cited_by_count":15,"area":null},{"id":"2402.05271","title":"Feature learning as alignment: a structural property of gradient descent in non-linear neural networks","created":"2024-02-07","cited_by_count":10,"area":null},{"id":"2311.13774","title":"Learning Hierarchical Polynomials with Three-Layer Neural Networks","created":"2023-11-23","cited_by_count":9,"area":null},{"id":"2406.04657","title":"From Spikes to Heavy Tails: Unveiling the Spectral Evolution of Neural Networks","created":"2024-06-07","cited_by_count":9,"area":null},{"id":"2601.19756","title":"Provable Learning of Random Hierarchy Models and Hierarchical Shallow-to-Deep Chaining","created":"2026-01-27","cited_by_count":6,"area":null},{"id":"2410.16449","title":"Robust Feature Learning for Multi-Index Models in High Dimensions","created":"2024-10-21","cited_by_count":5,"area":null},{"id":"2602.10867","title":"Deep Learning of Compositional Targets with Hierarchical Spectral Methods","created":"2026-02-11","cited_by_count":5,"area":null},{"id":"2605.06258","title":"The Weight Gram Matrix Captures Sequential Feature Linearization in Deep Networks","created":"2026-05-07","cited_by_count":5,"area":null},{"id":"2402.07248","title":"Depth Separations in Neural Networks: Separating the Dimension from the Accuracy","created":"2024-02-11","cited_by_count":4,"area":null},{"id":"2307.01649","title":"Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks","created":"2023-07-04","cited_by_count":2,"area":null},{"id":"2404.12481","title":"Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis","created":"2024-04-18","cited_by_count":2,"area":null},{"id":"2410.13991","title":"Generalization for Least Squares Regression With Simple Spiked Covariances","created":"2024-10-17","cited_by_count":2,"area":null},{"id":"2411.17201","title":"Learning Hierarchical Polynomials of Multiple Nonlinear Features with Three-Layer Networks","created":"2024-11-26","cited_by_count":1,"area":null},{"id":"2605.17767","title":"Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2608.23877","title":"Every Layer Counts: An Exponential $L_2$ Depth Hierarchy for ReLU Networks","created":"2026-08-24","cited_by_count":0,"area":null},{"id":"2610.20337","title":"Training Dynamics of Transformers on Unbounded Inputs: Attention Learning Can Lag Output Layer Learning","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}