Quantitative approximation results for complex-valued neural networks

25 February 2021

Papers citing "Quantitative approximation results for complex-valued neural networks"

8 / 8 papers shown

Title
The universal approximation theorem for complex-valued neural networks F. Voigtlaender 44 62 0 06 Dec 2020
Deep Network Approximation for Smooth Functions Jianfeng Lu Zuowei Shen Haizhao Yang Shijun Zhang 93 247 0 09 Jan 2020
Complex Gated Recurrent Neural Networks Moritz Wolter Angela Yao AI4CE 46 65 0 21 Jun 2018
Better than Real: Complex-valued Neural Nets for MRI Fingerprinting P. Virtue Stella X. Yu Michael Lustig MedIm 65 162 0 01 Jul 2017
Deep Complex Networks C. Trabelsi O. Bilaniuk Ying Zhang Dmitriy Serdyuk Sandeep Subramanian J. F. Santos Soroush Mehri Negar Rostamzadeh Yoshua Bengio C. Pal 148 831 0 27 May 2017
Optimal Approximation with Sparsely Connected Deep Neural Networks Helmut Bölcskei Philipp Grohs Gitta Kutyniok P. Petersen 162 256 0 04 May 2017
Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks Peter L. Bartlett Nick Harvey Christopher Liaw Abbas Mehrabian 177 431 0 08 Mar 2017
Unitary Evolution Recurrent Neural Networks Martín Arjovsky Amar Shah Yoshua Bengio ODL 71 769 0 20 Nov 2015