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FD-Net with Auxiliary Time Steps: Fast Prediction of PDEs using
  Hessian-Free Trust-Region Methods

FD-Net with Auxiliary Time Steps: Fast Prediction of PDEs using Hessian-Free Trust-Region Methods

28 October 2019
Nur Sila Gulgec
Zheng Shi
Neil Deshmukh
S. Pakzad
Martin Takáč
ArXivPDFHTML

Papers citing "FD-Net with Auxiliary Time Steps: Fast Prediction of PDEs using Hessian-Free Trust-Region Methods"

3 / 3 papers shown
Title
The Discovery of Dynamics via Linear Multistep Methods and Deep
  Learning: Error Estimation
The Discovery of Dynamics via Linear Multistep Methods and Deep Learning: Error Estimation
Q. Du
Yiqi Gu
Haizhao Yang
Chao Zhou
24
20
0
21 Mar 2021
Discovery of Dynamics Using Linear Multistep Methods
Discovery of Dynamics Using Linear Multistep Methods
Rachael Keller
Q. Du
22
36
0
29 Dec 2019
Using Deep Learning to Extend the Range of Air-Pollution Monitoring and
  Forecasting
Using Deep Learning to Extend the Range of Air-Pollution Monitoring and Forecasting
Philipp Haehnel
Jakub Mareˇcek
Julien Monteil
Fearghal O'Donncha
AI4CE
12
39
0
22 Oct 2018
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