Function approximation by deep networks

30 May 2019

Papers citing "Function approximation by deep networks"

8 / 8 papers shown

Title
The Finite Element Neural Network Method: One Dimensional Study Mohammed Abda Elsa Piollet Christopher Blake Frédérick P. Gosselin 63 0 0 21 Jan 2025
BrowNNe: Brownian Nonlocal Neurons & Activation Functions Sriram Nagaraj Truman Hickok 26 0 0 21 Jun 2024
When Deep Learning Meets Polyhedral Theory: A Survey Joey Huchette Gonzalo Muñoz Thiago Serra Calvin Tsay AI4CE 94 32 0 29 Apr 2023
CP-PINNs: Data-Driven Changepoints Detection in PDEs Using Online Optimized Physics-Informed Neural Networks Zhi-Ling Dong Pawel Polak PINN 21 1 0 18 Aug 2022
Lossless Compression of Deep Neural Networks Thiago Serra Abhinav Kumar Srikumar Ramalingam 24 56 0 01 Jan 2020
Variational Physics-Informed Neural Networks For Solving Partial Differential Equations E. Kharazmi Z. Zhang George Karniadakis 16 236 0 27 Nov 2019
Greedy Shallow Networks: An Approach for Constructing and Training Neural Networks Anton Dereventsov Armenak Petrosyan Clayton Webster 15 9 0 24 May 2019
Benefits of depth in neural networks Matus Telgarsky 142 602 0 14 Feb 2016