Markus Götz

According to our database, Markus Götz authored at least 33 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Beyond Backpropagation: Optimization with Multi-Tangent Forward Gradients.

Katharina Flügel, Daniel Coquelin, Marie Weiel, Achim Streit, Markus Götz

CoRR, 2024

ReCycle: Fast and Efficient Long Time Series Forecasting with Residual Cyclic Transformers.

Arvid Weyrauch, Thomas Steens, Oskar Taubert, Benedikt Hanke, Aslan Eqbal, Ewa Götz, Achim Streit, Markus Götz, Charlotte Debus

CoRR, 2024

AB-Training: A Communication-Efficient Approach for Distributed Low-Rank Learning.

Daniel Coquelin, Katherina Flügel, Marie Weiel, Nicholas Kiefer, Muhammed Öz, Charlotte Debus, Achim Streit, Markus Götz

CoRR, 2024

Model Fusion via Neuron Transplantation.

Muhammed Öz, Nicholas Kiefer, Charlotte Debus, Jasmin Hörter, Achim Streit, Markus Götz

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

PETNet-Coincident Particle Event Detection using Spiking Neural Networks.

Jan Debus, Charlotte Debus, Günther Dissertori, Markus Götz

Proceedings of the Neuro Inspired Computational Elements Conference, 2024

Taylor Expansion in Neural Networks: How Higher Orders Yield Better Predictions.

Pavel Zwerschke, Arvid Weyrauch, Markus Götz, Charlotte Debus

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Harnessing Orthogonality to Train Low-Rank Neural Networks.

Daniel Coquelin, Katharina Flügel, Marie Weiel, Nicholas Kiefer, Charlotte Debus, Achim Streit, Markus Götz

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

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

Anis Farshian, Markus Götz, Gabriele Cavallaro, Charlotte Debus, Matthias Nießner, Jón Atli Benediktsson, Achim Streit

Proc. IEEE, November, 2023

Reporting electricity consumption is essential for sustainable AI.

Charlotte Debus, Marie Piraud, Achim Streit, Fabian J. Theis, Markus Götz

Nat. Mac. Intell., November, 2023

Providing AI expertise as an infrastructure in academia.

Marie Piraud, Andrés Camero, Markus Götz, Stefan Kesselheim, Peter Steinbach, Tobias Weigel

Patterns, August, 2023

Feed-Forward Optimization With Delayed Feedback for Neural Networks.

Katharina Flügel, Daniel Coquelin, Marie Weiel, Charlotte Debus, Achim Streit, Markus Götz

CoRR, 2023

Massively Parallel Genetic Optimization Through Asynchronous Propagation of Populations.

Oskar Taubert, Marie Weiel, Daniel Coquelin, Anis Farshian, Charlotte Debus, Alexander Schug, Achim Streit, Markus Götz

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

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

Juan Pedro Gutiérrez H. Muriedas, Katharina Flügel, Charlotte Debus, Holger Obermaier, Achim Streit, Markus Götz

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.

James Kahn, Ilias Tsaklidis, Oskar Taubert, Lea Reuter, Giulio Dujany, Tobias Boeckh, Arthur Thaller, Pablo Goldenzweig, Florian Bernlochner, Achim Streit, Markus Götz

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

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

Daniel Coquelin, Charlotte Debus, Markus Götz, Fabrice von der Lehr, James Kahn, Martin Siggel, Achim Streit

J. Big Data, 2022

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

Daniel Coquelin, Behnood Rasti, Markus Götz, Pedram Ghamisi, Richard Gloaguen, Achim Streit

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.

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

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.

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.

Marie Weiel, Markus Götz, André Klein, Daniel Coquelin, Ralf Floca, Alexander Schug

Nat. Mach. Intell., 2021

Evolutionary Optimization of Neural Architectures in Remote Sensing Classification Problems.

Daniel Coquelin, Rocco Sedona, Morris Riedel, Markus Götz

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

2020

Loss Scheduling for Class-Imbalanced Image Segmentation Problems.

Oskar Taubert, Markus Götz, Alexander Schug, Achim Streit

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

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

Markus Götz, Charlotte Debus, Daniel Coquelin, Kai Krajsek, Claudia Comito, Philipp Knechtges, Björn Hagemeier, Michael Tarnawa, Simon Hanselmann, Martin Siggel, Achim Basermann, Achim Streit

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.

Markus Götz, Mikhail Kononets, Christian Bodenstein, Morris Riedel, Matthias Book, Olafur P. Palsson

Int. J. Data Sci. Anal., 2019

2018

Parallel Computation of Component Trees on Distributed Memory Machines.

Markus Götz, Gabriele Cavallaro, Thierry Géraud, Matthias Book, Morris Riedel

IEEE Trans. Parallel Distributed Syst., 2018

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

Julius Lange, Gabriele Cavallaro, Markus Götz, Ernir Erlingsson, Morris Riedel

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

2017

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

Matthias Book, Morris Riedel, Helmut Neukirchen, Markus Götz

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.

Christian Bodenstein, Markus Götz, Annika Jansen, Henrike Scholz, Morris Riedel

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

2015

HPDBSCAN: highly parallel DBSCAN.

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.

Morris Riedel, Markus Götz, Matthias Richerzhagen, Philipp Glock, Christian Bodenstein, Ahmed Shiraz Memon, M. Shahbaz Memon

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

Scalable developments for big data analytics in remote sensing.

Gabriele Cavallaro, Morris Riedel, Christian Bodenstein, Philipp Glock, 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.

Markus Götz, Matthias Richerzhagen, Christian Bodenstein, Gabriele Cavallaro, Philipp Glock, Morris Riedel, Jón Atli Benediktsson

Proceedings of the International Conference on Computational Science, 2015

2014

Smart data analytics methods for remote sensing applications.

Gabriele Cavallaro, Morris Riedel, Jón Atli Benediktsson, Markus Götz, Tomas Runarsson, Kristjan Jonasson, Thomas Lippert

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

2010

Syncro - Concurrent Editing Library for Google Wave.

Michael Goderbauer, Markus Götz, Alexander Großkopf, Andreas Meyer, Mathias Weske

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