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Leveraging Predictive Models for Adaptive Sampling of Spatiotemporal
  Fluid Processes

Leveraging Predictive Models for Adaptive Sampling of Spatiotemporal Fluid Processes

3 April 2023
Sandeep Manjanna
Tom Z. Jiahao
M. A. Hsieh
ArXivPDFHTML

Papers citing "Leveraging Predictive Models for Adaptive Sampling of Spatiotemporal Fluid Processes"

4 / 4 papers shown
Title
NODEO: A Neural Ordinary Differential Equation Based Optimization
  Framework for Deformable Image Registration
NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration
Yifan Wu
Tom Z. Jiahao
Jiancong Wang
Paul Yushkevich
M. Hsieh
J. Gee
MedIm
42
29
0
07 Aug 2021
Autonomous Robotic Mapping of Fragile Geologic Features
Autonomous Robotic Mapping of Fragile Geologic Features
Zhiang Chen
J. Arrowsmith
Jnaneshwar Das
29
1
0
04 May 2021
Adaptive Sampling: Algorithmic vs. Human Waypoint Selection
Adaptive Sampling: Algorithmic vs. Human Waypoint Selection
S. Kemna
Sara Kangaslahti
Oliver Kroemer
Gaurav Sukhatme
14
4
0
24 Apr 2021
Combining Machine Learning with Knowledge-Based Modeling for Scalable
  Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal
  Systems
Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems
Alexander Wikner
Jaideep Pathak
Brian Hunt
M. Girvan
T. Arcomano
I. Szunyogh
Andrew Pomerance
Edward Ott
AI4CE
64
70
0
10 Feb 2020
1