Minimum Width for Universal Approximation

Minimum Width for Universal Approximation

16 June 2020

Sejun Park

Papers citing "Minimum Width for Universal Approximation"

14 / 14 papers shown

Title
Extended Fiducial Inference for Individual Treatment Effects via Deep Neural Networks Sehwan Kim F. Liang FedML 46 0 0 04 May 2025
TL-PCA: Transfer Learning of Principal Component Analysis Sharon Hendy Yehuda Dar 122 1 0 14 Oct 2024
Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis Hyunwoo Lee Hayoung Choi Hyunju Kim 23 1 0 03 Oct 2024
Addressing common misinterpretations of KART and UAT in neural network literature Vugar Ismailov HAI 54 1 0 29 Aug 2024
Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds Hong Ye Tan Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb 52 0 0 13 Aug 2024
Minimum width for universal approximation using ReLU networks on compact domain Namjun Kim Chanho Min Sejun Park VLM 19 10 0 19 Sep 2023
Data Topology-Dependent Upper Bounds of Neural Network Widths Sangmin Lee Jong Chul Ye 19 0 0 25 May 2023
When Deep Learning Meets Polyhedral Theory: A Survey Joey Huchette Gonzalo Muñoz Thiago Serra Calvin Tsay AI4CE 91 32 0 29 Apr 2023
The R-mAtrIx Net Shailesh Lal Suvajit Majumder E. Sobko 21 5 0 14 Apr 2023
On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters Wonyeol Lee Sejun Park A. Aiken PINN 8 5 0 31 Jan 2023
LU decomposition and Toeplitz decomposition of a neural network Yucong Liu Simiao Jiao Lek-Heng Lim 20 7 0 25 Nov 2022
Changes from Classical Statistics to Modern Statistics and Data Science Kai Zhang Shan-Yu Liu M. Xiong 21 0 0 30 Oct 2022
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 219 1,332 0 12 Feb 2018
Benefits of depth in neural networks Matus Telgarsky 123 602 0 14 Feb 2016