Markus Götz

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 30

Top Topics

Massively Parallel

Neural Architectures

Top Venues

Publications

Arvid Weyrauch, Thomas Steens, Oskar Taubert, Benedikt Hanke, Aslan Eqbal, Ewa Götz, Achim Streit, Markus Götz, Charlotte Debus
ReCycle: Fast and Efficient Long Time Series Forecasting with Residual Cyclic Transformers. CoRR (2024)
Daniel Coquelin, Katherina Flügel, Marie Weiel, Nicholas Kiefer, Muhammed Öz, Charlotte Debus, Achim Streit, Markus Götz
AB-Training: A Communication-Efficient Approach for Distributed Low-Rank Learning. CoRR (2024)
Daniel Coquelin, Katharina Flügel, Marie Weiel, Nicholas Kiefer, Charlotte Debus, Achim Streit, Markus Götz
Harnessing Orthogonality to Train Low-Rank Neural Networks. CoRR (2024)
Jan Debus, Charlotte Debus, Günther Dissertori, Markus Götz
PETNet-Coincident Particle Event Detection using Spiking Neural Networks. NICE (2024)
Oskar Taubert, Marie Weiel, Daniel Coquelin, Anis Farshian, Charlotte Debus, Alexander Schug, Achim Streit, Markus Götz
Massively Parallel Genetic Optimization Through Asynchronous Propagation of Populations. ISC (2023)
Anis Farshian, Markus Götz, Gabriele Cavallaro, Charlotte Debus, Matthias Nießner, Jón Atli Benediktsson, Achim Streit
Deep-Learning-Based 3-D Surface Reconstruction - A Survey. Proc. IEEE 111 (11) (2023)
Marie Piraud, Andrés Camero, Markus Götz, Stefan Kesselheim, Peter Steinbach, Tobias Weigel
Providing AI expertise as an infrastructure in academia. Patterns 4 (8) (2023)
Oskar Taubert, Marie Weiel, Daniel Coquelin, Anis Farshian, Charlotte Debus, Alexander Schug, Achim Streit, Markus Götz
Massively Parallel Genetic Optimization through Asynchronous Propagation of Populations. CoRR (2023)
Katharina Flügel, Daniel Coquelin, Marie Weiel, Charlotte Debus, Achim Streit, Markus Götz
Feed-Forward Optimization With Delayed Feedback for Neural Networks. CoRR (2023)
Juan Pedro Gutiérrez H. Muriedas, Katharina Flügel, Charlotte Debus, Holger Obermaier, Achim Streit, Markus Götz
perun: Benchmarking Energy Consumption of High-Performance Computing Applications. Euro-Par (2023)
Charlotte Debus, Marie Piraud, Achim Streit, Fabian J. Theis, Markus Götz
Reporting electricity consumption is essential for sustainable AI. Nat. Mac. Intell. 5 (11) (2023)
James Kahn, Ilias Tsaklidis, Oskar Taubert, Lea Reuter, Giulio Dujany, Tobias Boeckh, Arthur Thaller, Pablo Goldenzweig, Florian Bernlochner, Achim Streit, Markus Götz
Learning Tree Structures from Leaves For Particle Decay Reconstruction. CoRR (2022)
Daniel Coquelin, Charlotte Debus, Markus Götz, Fabrice von der Lehr, James Kahn, Martin Siggel, Achim Streit
Accelerating neural network training with distributed asynchronous and selective optimization (DASO). J. Big Data 9 (1) (2022)
Daniel Coquelin, Behnood Rasti, Markus Götz, Pedram Ghamisi, Richard Gloaguen, Achim Streit
HyDe: The First Open-Source, Python-Based, GPU-Accelerated Hyperspectral Denoising Package. CoRR (2022)
Daniel Coquelin, Behnood Rasti, Markus Götz, Pedram Ghamisi, Richard Gloaguen, Achim Streit
Hyde: The First Open-Source, Python-Based, Gpu-Accelerated Hyperspectral Denoising Package. WHISPERS (2022)
Yannick Funk, Markus Götz, Hartwig Anzt
Prediction of Optimal Solvers for Sparse Linear Systems Using Deep Learning. PPSC (2022)
René Caspart, Sebastian Ziegler, Arvid Weyrauch, Holger Obermaier, Simon Raffeiner, Leon Pascal Schuhmacher, Jan Scholtyssek, Darya Trofimova, Marco Nolden, Ines Reinartz, Fabian Isensee, Markus Götz, Charlotte Debus
Precise Energy Consumption Measurements of Heterogeneous Artificial Intelligence Workloads. ISC Workshops (2022)
James Kahn, Ilias Tsaklidis, Oskar Taubert, Lea Reuter, Giulio Dujany, Tobias Boeckh, Arthur Thaller, Pablo Goldenzweig, Florian Bernlochner, Achim Streit, Markus Götz
Learning tree structures from leaves for particle decay reconstruction. Mach. Learn. Sci. Technol. 3 (3) (2022)
René Caspart, Sebastian Ziegler, Arvid Weyrauch, Holger Obermaier, Simon Raffeiner, Leon Pascal Schuhmacher, Jan Scholtyssek, Darya Trofimova, Marco Nolden, Ines Reinartz, Fabian Isensee, Markus Götz, Charlotte Debus
Precise Energy Consumption Measurements of Heterogeneous Artificial Intelligence Workloads. CoRR (2022)
Marie Weiel, Markus Götz, André Klein, Daniel Coquelin, Ralf Floca, Alexander Schug
Dynamic particle swarm optimization of biomolecular simulation parameters with flexible objective functions. Nat. Mach. Intell. 3 (8) (2021)
Daniel Coquelin, Rocco Sedona, Morris Riedel, Markus Götz
Evolutionary Optimization of Neural Architectures in Remote Sensing Classification Problems. IGARSS (2021)
Daniel Coquelin, Charlotte Debus, Markus Götz, Fabrice von der Lehr, James Kahn, Martin Siggel, Achim Streit
Accelerating Neural Network Training with Distributed Asynchronous and Selective Optimization (DASO). CoRR (2021)
Markus Götz, Charlotte Debus, Daniel Coquelin, Kai Krajsek, Claudia Comito, Philipp Knechtges, Björn Hagemeier, Michael Tarnawa, Simon Hanselmann, Martin Siggel, Achim Basermann, Achim Streit
HeAT - a Distributed and GPU-accelerated Tensor Framework for Data Analytics. IEEE BigData (2020)
Markus Götz, Daniel Coquelin, Charlotte Debus, Kai Krajsek, Claudia Comito, Philipp Knechtges, Björn Hagemeier, Michael Tarnawa, Simon Hanselmann, Martin Siggel, Achim Basermann, Achim Streit
HeAT - a Distributed and GPU-accelerated Tensor Framework for Data Analytics. CoRR (2020)
Oskar Taubert, Markus Götz, Alexander Schug, Achim Streit
Loss Scheduling for Class-Imbalanced Image Segmentation Problems. ICMLA (2020)
Markus Götz, Mikhail Kononets, Christian Bodenstein, Morris Riedel, Matthias Book, Olafur P. Palsson
Automatic water mixing event identification in the Koljö fjord observatory data. Int. J. Data Sci. Anal. 7 (1) (2019)
Markus Götz, Gabriele Cavallaro, Thierry Géraud, Matthias Book, Morris Riedel
Parallel Computation of Component Trees on Distributed Memory Machines. IEEE Trans. Parallel Distributed Syst. 29 (11) (2018)
Julius Lange, Gabriele Cavallaro, Markus Götz, Ernir Erlingsson, Morris Riedel
The Influence of Sampling Methods on Pixel-Wise Hyperspectral Image Classification with 3D Convolutional Neural Networks. IGARSS (2018)
Matthias Book, Morris Riedel, Helmut Neukirchen, Markus Götz
Facilitating collaboration in high-performance computing projects with an interaction room. SEPS@SPLASH (2017)
Christian Bodenstein, Markus Götz, Annika Jansen, Henrike Scholz, Morris Riedel
Automatic Object Detection Using DBSCAN for Counting Intoxicated Flies in the FLORIDA Assay. ICMLA (2016)
Morris Riedel, Markus Götz, Matthias Richerzhagen, Philipp Glock, Christian Bodenstein, Ahmed Shiraz Memon, M. Shahbaz Memon
Scalable and parallel machine learning algorithms for statistical data mining - Practice & experience. MIPRO (2015)
Gabriele Cavallaro, Morris Riedel, Christian Bodenstein, Philipp Glock, Matthias Richerzhagen, Markus Götz, Jón Atli Benediktsson
Scalable developments for big data analytics in remote sensing. IGARSS (2015)
Markus Götz, Matthias Richerzhagen, Christian Bodenstein, Gabriele Cavallaro, Philipp Glock, Morris Riedel, Jón Atli Benediktsson
On Scalable Data Mining Techniques for Earth Science. ICCS (2015)
Markus Götz, Christian Bodenstein, Morris Riedel
HPDBSCAN: highly parallel DBSCAN. MLHPC@SC (2015)
Gabriele Cavallaro, Morris Riedel, Jón Atli Benediktsson, Markus Götz, Tomas Runarsson, Kristjan Jonasson, Thomas Lippert
Smart data analytics methods for remote sensing applications. IGARSS (2014)
Michael Goderbauer, Markus Götz, Alexander Großkopf, Andreas Meyer, Mathias Weske
Syncro - Concurrent Editing Library for Google Wave. ICWE (2010)