Markus Götz

Orcid: 0000-0002-2233-1041

Affiliations:

Karlsruhe Institute of Technology (KIT), Steinbuch Centre for Computing (SCC), Germany
Jülich Supercomputing Center, Germany
University of Iceland, School of Engineering and Natural Sciences, Reykjavik, Iceland
Hasso Plattner Institute, Potsdam, Germany

According to our database¹, Markus Götz authored at least 27 papers between 2010 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Harnessing Orthogonality to Train Low-Rank Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Deep-Learning-Based 3-D Surface Reconstruction - A Survey.

[BibT_eX]

[DOI]

Jón Atli Benediktsson

Achim Streit

Proc. IEEE, November, 2023

Reporting electricity consumption is essential for sustainable AI.

[BibT_eX]

[DOI]

Nat. Mac. Intell., November, 2023

Providing AI expertise as an infrastructure in academia.

[BibT_eX]

[DOI]

Patterns, August, 2023

Feed-Forward Optimization With Delayed Feedback for Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Massively Parallel Genetic Optimization Through Asynchronous Propagation of Populations.

[BibT_eX]

[DOI]

Proceedings of the High Performance Computing - 38th International Conference, 2023

perun: Benchmarking Energy Consumption of High-Performance Computing Applications.

[BibT_eX]

[DOI]

Juan Pedro Gutiérrez H. Muriedas

Proceedings of the Euro-Par 2023: Parallel Processing - 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28, 2023

2022

Learning tree structures from leaves for particle decay reconstruction.

[BibT_eX]

[DOI]

Mach. Learn. Sci. Technol., September, 2022

Accelerating neural network training with distributed asynchronous and selective optimization (DASO).

[BibT_eX]

[DOI]

J. Big Data, 2022

Hyde: The First Open-Source, Python-Based, Gpu-Accelerated Hyperspectral Denoising Package.

[BibT_eX]

[DOI]

Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

Precise Energy Consumption Measurements of Heterogeneous Artificial Intelligence Workloads.

[BibT_eX]

[DOI]

Leon Pascal Schuhmacher

Proceedings of the High Performance Computing. ISC High Performance 2022 International Workshops - Hamburg, Germany, May 29, 2022

Prediction of Optimal Solvers for Sparse Linear Systems Using Deep Learning.

[BibT_eX]

[DOI]

Yannick Funk

Markus Götz

Hartwig Anzt

Proceedings of the 2022 SIAM Conference on Parallel Processing for Scientific Computing, 2022

2021

Dynamic particle swarm optimization of biomolecular simulation parameters with flexible objective functions.

[BibT_eX]

[DOI]

Nat. Mach. Intell., 2021

Evolutionary Optimization of Neural Architectures in Remote Sensing Classification Problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Loss Scheduling for Class-Imbalanced Image Segmentation Problems.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

HeAT - a Distributed and GPU-accelerated Tensor Framework for Data Analytics.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Automatic water mixing event identification in the Koljö fjord observatory data.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., 2019

2018

Parallel Computation of Component Trees on Distributed Memory Machines.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2018

The Influence of Sampling Methods on Pixel-Wise Hyperspectral Image Classification with 3D Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

Facilitating collaboration in high-performance computing projects with an interaction room.

[BibT_eX]

[DOI]

Proceedings of the 4th ACM SIGPLAN International Workshop on Software Engineering for Parallel Systems, 2017

2016

Automatic Object Detection Using DBSCAN for Counting Intoxicated Flies in the FLORIDA Assay.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015

HPDBSCAN: highly parallel DBSCAN.

[BibT_eX]

[DOI]

Markus Götz

Christian Bodenstein

Morris Riedel

Proceedings of the Workshop on Machine Learning in High-Performance Computing Environments, 2015

Scalable and parallel machine learning algorithms for statistical data mining - Practice & experience.

[BibT_eX]

[DOI]

Morris Riedel

Markus Götz

Matthias Richerzhagen

Proceedings of the 38th International Convention on Information and Communication Technology, 2015

Scalable developments for big data analytics in remote sensing.

[BibT_eX]

[DOI]

Matthias Richerzhagen

Markus Götz

Jón Atli Benediktsson

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

On Scalable Data Mining Techniques for Earth Science.

[BibT_eX]

[DOI]

Markus Götz

Matthias Richerzhagen

Jón Atli Benediktsson

Proceedings of the International Conference on Computational Science, 2015

2014

Smart data analytics methods for remote sensing applications.

[BibT_eX]

[DOI]

Gabriele Cavallaro

Morris Riedel

Jón Atli Benediktsson

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2010

Syncro - Concurrent Editing Library for Google Wave.

[BibT_eX]

[DOI]

Proceedings of the Web Engineering, 10th International Conference, 2010

Markus Götz

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...