Limitations on approximation by deep and shallow neural networks

30 November 2022

Papers citing "Limitations on approximation by deep and shallow neural networks"

3 / 3 papers shown

Title
Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis Luca Galimberti Anastasis Kratsios Giulia Livieri OOD 28 14 0 24 Oct 2022
Optimal Approximation Rate of ReLU Networks in terms of Width and Depth Zuowei Shen Haizhao Yang Shijun Zhang 101 115 0 28 Feb 2021
Benefits of depth in neural networks Matus Telgarsky 148 602 0 14 Feb 2016