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Maik Riechert
Maik Riechert
Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Fast and memory-efficient neural code completion
A Svyatkovskiy, S Lee, A Hadjitofi, M Riechert, JV Franco, M Allamanis
2021 IEEE/ACM 18th International Conference on Mining Software Repositories …, 2021
822021
AMPNet: Asynchronous model-parallel training for dynamic neural networks
AL Gaunt, MA Johnson, M Riechert, D Tarlow, R Tomioka, D Vytiniotis, ...
arXiv preprint arXiv:1705.09786, 2017
592017
Open source QGIS toolkit for the Advanced Research WRF modelling system
D Meyer, M Riechert
Environmental Modelling & Software 112, 166-178, 2019
552019
Fast and memory-efficient neural code completion. In 2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR)
A Svyatkovskiy, S Lee, A Hadjitofi, M Riechert, JV Franco, M Allamanis
IEEE, 2021
372021
WRF‐TEB: Implementation and evaluation of the coupled Weather Research and Forecasting (WRF) and Town Energy Balance (TEB) model
D Meyer, R Schoetter, M Riechert, A Verrelle, M Tewari, J Dudhia, ...
Journal of Advances in Modeling Earth Systems 12 (8), e2019MS001961, 2020
292020
Nansat: A scientist-orientated python package for geospatial data processing
AA Korosov, MW Hansen, KF Dagestad, A Yamakawa, A Vines, ...
Journal of Open Research Software 4 (1), e39-e39, 2016
212016
Bringing LTL model checking to biologists
Z Ahmed, D Benque, S Berezin, ACE Dahl, J Fisher, BA Hall, S Ishtiaq, ...
Verification, Model Checking, and Abstract Interpretation: 18th …, 2017
122017
Algebraic dynamic programming for multiple context-free grammars
M Riechert, CH zu Siederdissen, PF Stadler
Theoretical Computer Science 639, 91-109, 2016
122016
Algebraic dynamic programming for multiple context-free languages
M Riechert
Master's thesis, Hochschule für Technik, Wirtschaft und Kultur, Leipzig, 2013
12*2013
WRF-CMake: integrating CMake support into the Advanced Research WRF (ARW) modelling system
M Riechert, D Meyer
Journal of Open Source Software 4 (41), 1468, 2019
82019
Coverages, JSON-LD and RDF data cubes
J Blower, M Riechert
62016
Why should we publish Linked Data?
J Blower, M Riechert, M Koubarakis, N Pace
EGU General Assembly Conference Abstracts, EPSC2016-9577, 2016
12016
Exposing coverage data to the semantic web within the MELODIES project: challenges and solutions
M Riechert, J Blower, G Griffiths
EGU general assembly conference abstracts, EPSC2016-16923, 2016
12016
Automatic georeferencing of astronaut auroral photography
M Riechert, AP Walsh, A Gerst, MGGT Taylor
Geoscientific Instrumentation, Methods and Data Systems 5 (2), 289, 2016
12016
Overview of the CoverageJSON format
J Blower, M Riechert, B Roberts
World Wide Web Consortium/Open Geospatial Consortium, 2017
2017
Automatic Georeferencing of Astronaut Auroral Photography: Providing a New Dataset for Space Physics
M Riechert, AP Walsh, M Taylor
EGU General Assembly Conference Abstracts, 3524, 2014
2014
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Articles 1–16