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Markus Götz
Markus Götz
Group leader, Karlsruhe Institute of Technology (KIT), Helmholtz AI
Bestätigte E-Mail-Adresse bei kit.edu
Titel
Zitiert von
Zitiert von
Jahr
HPDBSCAN: highly parallel DBSCAN
M Götz, C Bodenstein, M Riedel
Proceedings of the workshop on machine learning in high-performance …, 2015
802015
Dynamic particle swarm optimization of biomolecular simulation parameters with flexible objective functions
M Weiel, M Götz, A Klein, D Coquelin, R Floca, A Schug
Nature Machine Intelligence 3 (8), 727-734, 2021
362021
Machine Learning-Aided Numerical Linear Algebra: Convolutional Neural Networks for the Efficient Preconditioner Generation
M Götz, H Anzt
2018 IEEE/ACM 9th Workshop on Latest Advances in Scalable Algorithms for …, 2018
332018
The Influence of Sampling Methods on Pixel-Wise Hyperspectral Image Classification with 3D Convolutional Neural Networks
J Lange, G Cavallaro, M Götz, E Erlingsson, M Riedel
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
282018
Parallel computation of component trees on distributed memory machines
M Götz, G Cavallaro, T Géraud, M Book, M Riedel
IEEE transactions on parallel and distributed systems 29 (11), 2582-2598, 2018
272018
Smart data analytics methods for remote sensing applications
G Cavallaro, M Riedel, JA Benediktsson, M Goetz, T Runarsson, ...
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International …, 2014
222014
On scalable data mining techniques for earth science
M Götz, M Richerzhagen, C Bodenstein, G Cavallaro, P Glock, M Riedel, ...
Procedia computer science 51, 2188-2197, 2015
212015
Deep learning approaches to building rooftop thermal bridge detection from aerial images
Z Mayer, J Kahn, Y Hou, M Götz, R Volk, F Schultmann
Automation in Construction 146, 104690, 2023
182023
Reporting electricity consumption is essential for sustainable AI
C Debus, M Piraud, A Streit, F Theis, M Götz
Nature Machine Intelligence 5 (11), 1176-1178, 2023
162023
Deep-Learning-Based 3-D Surface Reconstruction—A Survey
A Farshian, M Götz, G Cavallaro, C Debus, M Nießner, JA Benediktsson, ...
Proceedings of the IEEE, 2023
162023
Learning Tree Structures from Leaves For Particle Decay Reconstruction
J Kahn, I Tsaklidis, O Taubert, L Reuter, G Dujany, T Böckh, A Thaller, ...
Machine Learning: Science and Technology, 2022
132022
HeAT--a Distributed and GPU-accelerated Tensor Framework for Data Analytics
M Götz, D Coquelin, C Debus, K Krajsek, C Comito, P Knechtges, ...
arXiv preprint arXiv:2007.13552, 2020
132020
Precise Energy Consumption Measurements of Heterogeneous Artificial Intelligence Workloads
R Caspart, S Ziegler, A Weyrauch, H Obermaier, S Raffeiner, ...
International Conference on High Performance Computing, 108-121, 2022
112022
Machine learning-aided numerical linear algebra: Convolutional neural networks for the efficient preconditioner generation. In 2018 IEEE/ACM 9th Workshop on Latest Advances in …
M Götz, H Anzt
IEEE, 2018
112018
Process Insights into Perovskite Thin‐Film Photovoltaics from Machine Learning with In Situ Luminescence Data
F Laufer, S Ziegler, F Schackmar, EA Moreno Viteri, M Götz, C Debus, ...
Solar RRL 7 (7), 2201114, 2023
102023
Massively Parallel Genetic Optimization through Asynchronous Propagation of Populations
O Taubert, M Weiel, D Coquelin, A Farshian, C Debus, A Schug, A Streit, ...
International Conference on High Performance Computing, 106-124, 2023
102023
Scalable developments for big data analytics in remote sensing
G Cavallaro, M Riedel, C Bodenstein, P Glock, M Richerzhagen, M Götz, ...
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015
102015
Feed-Forward Optimization With Delayed Feedback for Neural Networks
K Flügel, D Coquelin, M Weiel, C Debus, A Streit, M Götz
arXiv preprint arXiv:2304.13372, 2023
92023
perun: Benchmarking Energy Consumption of High-Performance Computing Applications
JP Gutiérrez Hermosillo Muriedas, K Flügel, C Debus, H Obermaier, ...
European Conference on Parallel Processing, 17-31, 2023
72023
Accelerating neural network training with distributed asynchronous and selective optimization (DASO)
D Coquelin, C Debus, M Götz, F von der Lehr, J Kahn, M Siggel, A Streit
Journal of Big Data 9 (1), 1-18, 2022
72022
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