{"total":23,"rows":[{"id":"2302.00457","title":"Simplicity Bias in 1-Hidden Layer Neural Networks","created":"2023-02-01","cited_by_count":26,"area":null},{"id":"2509.10167","title":"The Hidden Width of Deep ResNets: Tight Error Bounds and Phase Diagram","created":"2025-09-12","cited_by_count":17,"area":null},{"id":"2310.12408","title":"Provable Guarantees for Neural Networks via Gradient Feature Learning","created":"2023-10-19","cited_by_count":14,"area":null},{"id":"2110.02926","title":"On the Global Convergence of Gradient Descent for multi-layer ResNets in the mean-field regime","created":"2021-10-06","cited_by_count":12,"area":null},{"id":"2202.02981","title":"Neural Tangent Kernel Analysis of Deep Narrow Neural Networks","created":"2022-02-07","cited_by_count":11,"area":null},{"id":"2310.04006","title":"Accelerating optimization over the space of probability measures","created":"2023-10-06","cited_by_count":10,"area":null},{"id":"2109.03992","title":"Stationary Density Estimation of It\\^o Diffusions Using Deep Learning","created":"2021-09-09","cited_by_count":9,"area":null},{"id":"2304.01063","title":"Depth Separation with Multilayer Mean-Field Networks","created":"2023-04-03","cited_by_count":9,"area":null},{"id":"2403.12887","title":"Understanding the training of infinitely deep and wide ResNets with Conditional Optimal Transport","created":"2024-03-19","cited_by_count":8,"area":null},{"id":"2304.00707","title":"High-dimensional scaling limits and fluctuations of online least-squares SGD with smooth covariance","created":"2023-04-03","cited_by_count":6,"area":null},{"id":"2307.01177","title":"Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space","created":"2023-07-03","cited_by_count":5,"area":null},{"id":"2311.15365","title":"A convergence result of a continuous model of deep learning via a \\L{}ojasiewicz--Simon inequality","created":"2023-11-26","cited_by_count":5,"area":null},{"id":"2410.23610","title":"Global Convergence in Training Large-Scale Transformers","created":"2024-10-31","cited_by_count":5,"area":null},{"id":"2505.11664","title":"A Local Polyak-Lojasiewicz and Descent Lemma of Gradient Descent For Overparametrized Linear Models","created":"2025-05-16","cited_by_count":4,"area":null},{"id":"2210.16286","title":"A Functional-Space Mean-Field Theory of Partially-Trained Three-Layer Neural Networks","created":"2022-10-28","cited_by_count":3,"area":null},{"id":"2303.05924","title":"Variational formulations of ODE-Net as a mean-field optimal control problem and existence results","created":"2023-03-09","cited_by_count":3,"area":null},{"id":"2306.02192","title":"Correcting Auto-Differentiation in Neural-ODE Training","created":"2023-06-03","cited_by_count":3,"area":null},{"id":"2308.13772","title":"Boosting Residual Networks with Group Knowledge","created":"2023-08-26","cited_by_count":3,"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":"2509.23887","title":"Gradient Flow Convergence Guarantee for General Neural Network Architectures","created":"2025-09-28","cited_by_count":0,"area":null},{"id":"2607.16761","title":"Dropout and Random Gradient Masking Are Asymptotically Equivalent in Large ResNets","created":"2026-07-18","cited_by_count":0,"area":null},{"id":"2607.23008","title":"Nesterov acceleration in optimizing over probability measures","created":"2026-07-25","cited_by_count":0,"area":null},{"id":"2609.13343","title":"Stochastic Gradient Descent over P2","created":"2026-09-11","cited_by_count":0,"area":null}],"next_cursor":null}