{"total":18,"rows":[{"id":"2206.09527","title":"Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations","created":"2022-06-20","cited_by_count":29,"area":null},{"id":"2111.14574","title":"On the rate of convergence of a classifier based on a Transformer encoder","created":"2021-11-29","cited_by_count":16,"area":null},{"id":"2107.09532","title":"Estimation of a regression function on a manifold by fully connected deep neural networks","created":"2021-07-20","cited_by_count":5,"area":null},{"id":"2410.00053","title":"Frequency-adaptive Multi-scale Deep Neural Networks","created":"2024-09-28","cited_by_count":5,"area":null},{"id":"2104.05021","title":"CovNet: Covariance Networks for Functional Data on Multidimensional Domains","created":"2021-04-11","cited_by_count":4,"area":null},{"id":"2304.01111","title":"Theoretical guarantees for neural control variates in MCMC","created":"2023-04-03","cited_by_count":4,"area":null},{"id":"2501.04898","title":"Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression","created":"2025-01-09","cited_by_count":3,"area":null},{"id":"2105.07228","title":"Analysis of Structured Deep Kernel Networks","created":"2021-05-15","cited_by_count":2,"area":null},{"id":"2306.12658","title":"Fitted value iteration methods for bicausal optimal transport","created":"2023-06-22","cited_by_count":2,"area":null},{"id":"2508.16737","title":"Deep Learning for Markov Chains: Lyapunov Functions, Poisson's Equation, and Stationary Distributions","created":"2025-08-22","cited_by_count":2,"area":null},{"id":"2410.15800","title":"On the VC dimension of deep group convolutional neural networks","created":"2024-10-21","cited_by_count":1,"area":null},{"id":"2203.02088","title":"Second-order Symmetric Non-negative Latent Factor Analysis","created":"2022-03-04","cited_by_count":0,"area":null},{"id":"2301.00181","title":"Smooth Mathematical Function from Compact Neural Networks","created":"2022-12-31","cited_by_count":0,"area":null},{"id":"2406.14936","title":"On the growth of the parameters of approximating ReLU neural networks","created":"2024-06-21","cited_by_count":0,"area":null},{"id":"2504.08489","title":"Statistically guided deep learning","created":"2025-04-11","cited_by_count":0,"area":null},{"id":"2510.08456","title":"Integral Signatures of Activation Functions: A 9-Dimensional Taxonomy and Stability Theory for Deep Learning","created":"2025-10-09","cited_by_count":0,"area":null},{"id":"2603.18120","title":"MAED: Mathematical Activation Error Detection for Mitigating Physical Fault Attacks in DNN Inference","created":"2026-03-18","cited_by_count":0,"area":null},{"id":"2605.21388","title":"On the Regularity and Generalization of One-Step Wasserstein-guided Generative Models for PDE-Induced Measures","created":"2026-05-20","cited_by_count":0,"area":null}],"next_cursor":null}