{"total":19,"rows":[{"id":"2310.19793","title":"On Learning Gaussian Multi-index Models with Gradient Flow","created":"2023-10-30","cited_by_count":57,"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":"2309.15111","title":"SGD Finds then Tunes Features in Two-Layer Neural Networks with near-Optimal Sample Complexity: A Case Study in the XOR problem","created":"2023-09-26","cited_by_count":39,"area":null},{"id":"2309.03843","title":"Gradient-Based Feature Learning under Structured Data","created":"2023-09-07","cited_by_count":32,"area":null},{"id":"2411.02544","title":"Pretrained transformer efficiently learns low-dimensional target functions in-context","created":"2024-11-04","cited_by_count":31,"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":"2403.14917","title":"Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective","created":"2024-03-22","cited_by_count":13,"area":null},{"id":"2310.02117","title":"Symmetric Single Index Learning","created":"2023-10-03","cited_by_count":5,"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":"2406.01766","title":"How Does Gradient Descent Learn Features -- A Local Analysis for Regularized Two-Layer Neural Networks","created":"2024-06-03","cited_by_count":4,"area":null},{"id":"2403.09889","title":"Generalization of Scaled Deep ResNets in the Mean-Field Regime","created":"2024-03-14","cited_by_count":3,"area":null},{"id":"2605.22010","title":"Uniform-in-Time Weak Propagation-of-Chaos in Shallow Neural Networks","created":"2026-05-21","cited_by_count":3,"area":null},{"id":"2410.12025","title":"Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture","created":"2024-10-15","cited_by_count":2,"area":null},{"id":"2402.08948","title":"Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input","created":"2024-02-14","cited_by_count":1,"area":null},{"id":"2403.17467","title":"A Unified Kernel for Neural Network Learning","created":"2024-03-26","cited_by_count":1,"area":null},{"id":"2605.12908","title":"The Mechanism of Weak-to-Strong Generalization: Feature Elicitation from Latent Knowledge","created":"2026-05-13","cited_by_count":1,"area":null},{"id":"2510.19382","title":"A Derandomization Framework for Structure Discovery: Applications in Neural Networks and Beyond","created":"2025-10-22","cited_by_count":0,"area":null},{"id":"2602.00172","title":"Neuron Block Dynamics for XOR Classification with Zero-Margin","created":"2026-01-30","cited_by_count":0,"area":null},{"id":"2607.10869","title":"Singular perturbations and hierarchical learning in two-layer neural networks","created":"2026-07-12","cited_by_count":0,"area":null}],"next_cursor":null}