{"total":20,"rows":[{"id":"2210.16859","title":"A Solvable Model of Neural Scaling Laws","created":"2022-10-30","cited_by_count":116,"area":null},{"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":"2206.07252","title":"Implicit Regularization or Implicit Conditioning? Exact Risk Trajectories of SGD in High Dimensions","created":"2022-06-15","cited_by_count":23,"area":null},{"id":"2109.09304","title":"Deformed semicircle law and concentration of nonlinear random matrices for ultra-wide neural networks","created":"2021-09-20","cited_by_count":21,"area":null},{"id":"2308.13431","title":"Six Lectures on Linearized Neural Networks","created":"2023-08-25","cited_by_count":20,"area":null},{"id":"2209.04121","title":"Fast Neural Kernel Embeddings for General Activations","created":"2022-09-09","cited_by_count":18,"area":null},{"id":"2110.11805","title":"Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model","created":"2021-10-22","cited_by_count":17,"area":null},{"id":"2301.13371","title":"Demystifying Disagreement-on-the-Line in High Dimensions","created":"2023-01-31","cited_by_count":12,"area":null},{"id":"2208.09897","title":"Multiple Descent in the Multiple Random Feature Model","created":"2022-08-21","cited_by_count":10,"area":null},{"id":"2310.01975","title":"Benign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data","created":"2023-10-03","cited_by_count":10,"area":null},{"id":"2105.05115","title":"Analysis of One-Hidden-Layer Neural Networks via the Resolvent Method","created":"2021-05-11","cited_by_count":9,"area":null},{"id":"2510.01303","title":"Low Rank Gradients and Where to Find Them","created":"2025-10-01","cited_by_count":4,"area":null},{"id":"2502.18428","title":"Global law of conjugate kernel random matrices with heavy-tailed weights","created":"2025-02-25","cited_by_count":3,"area":null},{"id":"2405.18274","title":"Signal-Plus-Noise Decomposition of Nonlinear Spiked Random Matrix Models","created":"2024-05-28","cited_by_count":2,"area":null},{"id":"2504.03035","title":"High-dimensional ridge regression with random features for non-identically distributed data with a variance profile","created":"2025-04-03","cited_by_count":2,"area":null},{"id":"2203.05417","title":"Deep Regression Ensembles","created":"2022-03-10","cited_by_count":1,"area":null},{"id":"2408.15784","title":"Implicit Regularization Paths of Weighted Neural Representations","created":"2024-08-28","cited_by_count":1,"area":null},{"id":"2507.09394","title":"A Random Matrix Theory Perspective on the Learning Dynamics of Multi-head Latent Attention","created":"2025-07-12","cited_by_count":1,"area":null},{"id":"2505.24668","title":"Impact of Bottleneck Layers and Skip Connections on the Generalization of Linear Denoising Autoencoders","created":"2025-05-30","cited_by_count":0,"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}],"next_cursor":null}