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Leveraging arbitrary mobile sensor trajectories with shallow recurrent
  decoder networks for full-state reconstruction

Leveraging arbitrary mobile sensor trajectories with shallow recurrent decoder networks for full-state reconstruction

20 July 2023
Megan R. Ebers
Jan P. Williams
K. Steele
J. Nathan Kutz
    HAI
ArXiv (abs)PDFHTML

Papers citing "Leveraging arbitrary mobile sensor trajectories with shallow recurrent decoder networks for full-state reconstruction"

5 / 5 papers shown
Title
Dynamic Compressed Sensing of Unsteady Flows with a Mobile Robot
Dynamic Compressed Sensing of Unsteady Flows with a Mobile Robot
Sachin Shriwastav
Gregory F. Snyder
Zhuoyuan Song
47
4
0
16 Oct 2021
Optimal control of point-to-point navigation in turbulent time-dependent
  flows using Reinforcement Learning
Optimal control of point-to-point navigation in turbulent time-dependent flows using Reinforcement Learning
M. Buzzicotti
Luca Biferale
F. Bonaccorso
P. C. D. Leoni
K. Gustavsson
57
21
0
27 Feb 2021
Learning Efficient Navigation in Vortical Flow Fields
Learning Efficient Navigation in Vortical Flow Fields
Peter Gunnarson
Ioannis Mandralis
G. Novati
Petros Koumoutsakos
J. Dabiri
82
70
0
21 Feb 2021
Recent Advances in Recurrent Neural Networks
Recent Advances in Recurrent Neural Networks
Hojjat Salehinejad
Sharan Sankar
Joseph Barfett
E. Colak
S. Valaee
AI4TS
128
584
0
29 Dec 2017
Recurrent Neural Network Regularization
Recurrent Neural Network Regularization
Wojciech Zaremba
Ilya Sutskever
Oriol Vinyals
ODL
160
2,778
0
08 Sep 2014
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