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Active Deep Learning for Nano Sensor Systems
Vording, Maximillian Fornitz
(PhD Student)
Larsen, Jan
(Main Supervisor)
Schmidt, Mikkel N.
(Main Supervisor)
Alstrøm, Tommy Sonne
(Supervisor)
Mørup, Morten
(Examiner)
Igel, Christian
(Examiner)
Vehtari, Aki
(Examiner)
Department of Applied Mathematics and Computer Science
Overview
Fingerprint
Research output
(1)
Project Details
Status
Finished
Effective start/end date
01/08/2017
→
08/09/2021
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Molecules
Engineering & Materials Science
100%
Signal to noise ratio
Engineering & Materials Science
84%
Graph theory
Engineering & Materials Science
57%
Drug products
Engineering & Materials Science
56%
Message passing
Engineering & Materials Science
54%
Atoms
Engineering & Materials Science
53%
Neural networks
Engineering & Materials Science
31%
Temperature
Engineering & Materials Science
20%
Research output
Research output per year
2020
2020
2020
1
Ph.D. thesis
Research output per year
Research output per year
Gaussian processes for modeling physical systems
Vording, M. F.
,
2020
,
Technical University of Denmark
.
160 p.
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Molecules
100%
Signal to noise ratio
84%
Graph theory
57%
Drug products
56%
Message passing
54%
66
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