Markus Götz

64 papers A 2B 3C 8Misc 1Journal 35Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bayesian Lottery Ticket Hypothesis.
CoRR
Nicholas Kuhn, Arvid Weyrauch, Lars H. Heyen, Achim Streit, Markus Götz, Charlotte Debus
2026 J jnl
Differentiable Power-Flow Optimization.
CoRR
Muhammed Öz, Jasmin Hörter, Kaleb Phipps, Charlotte Debus, Achim Streit, Markus Götz
2026 J jnl
torch_blue: A Flexible Python Package for Bayesian Neural Networks in PyTorch.
J. Open Source Softw.
Arvid Weyrauch, Lars H. Heyen, Juan Pedro Gutiérrez H. Muriedas, Pei-Hsuan Hsia, Asena Karolin Özdemir, Achim Streit, Markus Götz, Charlotte Debus
2025 — conf
A Comparative Study of Pruning Methods in Transformer-Based Time Series Forecasting.
ICDM (Workshops)
Nicholas Kuhn, Arvid Weyrauch, Muhammed Öz, Achim Streit, Markus Götz, Charlotte Debus
2025 B conf
Beyond Backpropagation: Optimization with Multi-Tangent Forward Gradients.
IJCNN
Katharina Flügel, Daniel Coquelin, Marie Weiel, Charlotte Debus, Achim Streit, Markus Götz
2025 J jnl
Energy Consumption in Parallel Neural Network Training.
CoRR
Philipp Huber, David Li, Juan Pedro Gutiérrez H. Muriedas, Deifilia Kieckhefen, Markus Götz, Achim Streit, Charlotte Debus
2025 J jnl
Engineering a large-scale data analytics and array computing library for research: Heat.
Electron. Commun. Eur. Assoc. Softw. Sci. Technol.
Fabian Hoppe, Juan Pedro Gutiérrez H. Muriedas, Michael Tarnawa, Philipp Knechtges, Björn Hagemeier, Kai Krajsek, Alexander Rüttgers, Markus Götz, Claudia Comito
2025 J jnl
Enhancing UAS-Based Multispectral Semantic Segmentation Through Feature Engineering.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Elena Vollmer, Mishal Benz, James Kahn, Leon Klug, Rebekka Volk, Frank Schultmann, Markus Götz
2025 — conf
Exploring Federated Learning for Thermal Urban Feature Segmentation - A Comparison of Centralized and Decentralized Approaches.
ICCSA (1)
Leonhard Duda, Khadijeh Alibabaei, Elena Vollmer, Leon Klug, Valentin Kozlov, Lisana Berberi, Mishal Benz, Rebekka Volk, Juan Pedro Gutiérrez H. Muriedas, Markus Götz, Judith Sáinz-Pardo Díaz, Álvaro López García, Frank Schultmann, Achim Streit
2025 J jnl
Exploring Federated Learning for Thermal Urban Feature Segmentation - A Comparison of Centralized and Decentralized Approaches.
CoRR
Leonhard Duda, Khadijeh Alibabaei, Elena Vollmer, Leon Klug, Valentin Kozlov, Lisana Berberi, Mishal Benz, Rebekka Volk, Juan Pedro Gutiérrez H. Muriedas, Markus Götz, Judith Sáinz-Pardo Díaz, Álvaro López García, Frank Schultmann, Achim Streit
2025 J jnl
Jigsaw: Training Multi-Billion-Parameter AI Weather Models with Optimized Model Parallelism.
CoRR
Deifilia Kieckhefen, Markus Götz, Lars H. Heyen, Achim Streit, Charlotte Debus
2025 C conf
Large-Scale Modeling of the Extracellular Matrix on Hybrid Supercomputers Using Highly Parallel Stencil Computations.
ISC
Julian Herold, Paul Brinkmeier, Markus Götz, Alexander Schug, Achim Streit
2025 J jnl
Model Fusion via Neuron Transplantation.
CoRR
Muhammed Öz, Nicholas Kiefer, Charlotte Debus, Jasmin Hörter, Achim Streit, Markus Götz
2025 J jnl
Ordinal METAR Cloud Cover Classification in Sentinel-2 Satellite Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Markus Götz, Erik Wessel, Ugur Çayoglu, Babak Jahani, Charlotte Debus, Jan Cermak, Achim Streit
2025 J jnl
PETNet - Coincident Particle Event Detection using Spiking Neural Networks.
CoRR
Jan Debus, Charlotte Debus, Günther Dissertori, Markus Götz
2025 J jnl
Scaling Laws of Distributed Random Forests.
Trans. Mach. Learn. Res.
Katharina Flügel, Charlotte Debus, Markus Götz, Achim Streit, Marie Weiel
2025 B conf
pyGinkgo: A Sparse Linear Algebra Operator Framework for Python.
ICPP
Keshvi Tuteja, Gregor Olenik, Roman Mishchuk, Yu-Hsiang Tsai, Markus Götz, Achim Streit, Hartwig Anzt, Charlotte Debus
2025 J jnl
pyGinkgo: A Sparse Linear Algebra Operator Framework for Python.
CoRR
Keshvi Tuteja, Gregor Olenik, Roman Mishchuk, Yu-Hsiang Tsai, Markus Götz, Achim Streit, Hartwig Anzt, Charlotte Debus
2024 J jnl
A Comparative Study of Pruning Methods in Transformer-based Time Series Forecasting.
CoRR
Nicholas Kiefer, Arvid Weyrauch, Muhammed Öz, Achim Streit, Markus Götz, Charlotte Debus
2024 J jnl
AB-Training: A Communication-Efficient Approach for Distributed Low-Rank Learning.
CoRR
Daniel Coquelin, Katherina Flügel, Marie Weiel, Nicholas Kiefer, Muhammed Öz, Charlotte Debus, Achim Streit, Markus Götz
2024 J jnl
AutoPQ: Automating Quantile estimation from Point forecasts in the context of sustainability.
CoRR
Stefan Meisenbacher, Kaleb Phipps, Oskar Taubert, Marie Weiel, Markus Götz, Ralf Mikut, Veit Hagenmeyer
2024 J jnl
Beyond Backpropagation: Optimization with Multi-Tangent Forward Gradients.
CoRR
Katharina Flügel, Daniel Coquelin, Marie Weiel, Achim Streit, Markus Götz
2024 — conf
Feasibility of Forecasting Highly Resolved Power Grid Frequency Utilizing Temporal Fusion Transformers.
e-Energy
Sebastian Pütz, Hadeer El Ashhab, Matthias Hertel, Ralf Mikut, Markus Götz, Veit Hagenmeyer, Benjamin Schäfer
2024 — conf
Feed-Forward Optimization With Delayed Feedback for Neural Network Training.
ICONIP (4)
Katharina Flügel, Daniel Coquelin, Marie Weiel, Charlotte Debus, Achim Streit, Markus Götz
2024 A conf
Harnessing Orthogonality to Train Low-Rank Neural Networks.
ECAI
Daniel Coquelin, Katharina Flügel, Marie Weiel, Nicholas Kiefer, Charlotte Debus, Achim Streit, Markus Götz
2024 J jnl
Harnessing Orthogonality to Train Low-Rank Neural Networks.
CoRR
Daniel Coquelin, Katharina Flügel, Marie Weiel, Nicholas Kiefer, Charlotte Debus, Achim Streit, Markus Götz
2024 — conf
Model Fusion via Neuron Transplantation.
ECML/PKDD (4)
Muhammed Öz, Nicholas Kiefer, Charlotte Debus, Jasmin Hörter, Achim Streit, Markus Götz
2024 — conf
PETNet-Coincident Particle Event Detection using Spiking Neural Networks.
NICE
Jan Debus, Charlotte Debus, Günther Dissertori, Markus Götz
2024 — conf
ReCycle: Fast and Efficient Long Time Series Forecasting with Residual Cyclic Transformers.
CAI
Arvid Weyrauch, Thomas Steens, Oskar Taubert, Benedikt Hanke, Aslan Eqbal, Ewa Götz, Achim Streit, Markus Götz, Charlotte Debus
2024 J jnl
ReCycle: Fast and Efficient Long Time Series Forecasting with Residual Cyclic Transformers.
CoRR
Arvid Weyrauch, Thomas Steens, Oskar Taubert, Benedikt Hanke, Aslan Eqbal, Ewa Götz, Achim Streit, Markus Götz, Charlotte Debus
2024 A conf
Taylor Expansion in Neural Networks: How Higher Orders Yield Better Predictions.
ECAI
Pavel Zwerschke, Arvid Weyrauch, Markus Götz, Charlotte Debus
2024 J jnl
Vectorized Highly Parallel Density-Based Clustering for Applications With Noise.
IEEE Access
Joseph Arnold Xavier, Juan Pedro Gutiérrez H. Muriedas, Stepan Nassyr, Rocco Sedona, Markus Götz, Achim Streit, Morris Riedel, Gabriele Cavallaro
2023 J jnl
Deep-Learning-Based 3-D Surface Reconstruction - A Survey.
Proc. IEEE
Anis Farshian, Markus Götz, Gabriele Cavallaro, Charlotte Debus, Matthias Nießner, Jón Atli Benediktsson, Achim Streit
2023 J jnl
Feed-Forward Optimization With Delayed Feedback for Neural Networks.
CoRR
Katharina Flügel, Daniel Coquelin, Marie Weiel, Charlotte Debus, Achim Streit, Markus Götz
2023 C conf
Massively Parallel Genetic Optimization Through Asynchronous Propagation of Populations.
ISC
Oskar Taubert, Marie Weiel, Daniel Coquelin, Anis Farshian, Charlotte Debus, Alexander Schug, Achim Streit, Markus Götz
2023 J jnl
Massively Parallel Genetic Optimization through Asynchronous Propagation of Populations.
CoRR
Oskar Taubert, Marie Weiel, Daniel Coquelin, Anis Farshian, Charlotte Debus, Alexander Schug, Achim Streit, Markus Götz
2023 J jnl
Providing AI expertise as an infrastructure in academia.
Patterns
Marie Piraud, Andrés Camero, Markus Götz, Stefan Kesselheim, Peter Steinbach, Tobias Weigel
2023 J jnl
Reporting electricity consumption is essential for sustainable AI.
Nat. Mac. Intell.
Charlotte Debus, Marie Piraud, Achim Streit, Fabian J. Theis, Markus Götz
2023 — conf
perun: Benchmarking Energy Consumption of High-Performance Computing Applications.
Euro-Par
Juan Pedro Gutiérrez H. Muriedas, Katharina Flügel, Charlotte Debus, Holger Obermaier, Achim Streit, Markus Götz
2022 J jnl
Accelerating neural network training with distributed asynchronous and selective optimization (DASO).
J. Big Data
Daniel Coquelin, Charlotte Debus, Markus Götz, Fabrice von der Lehr, James Kahn, Martin Siggel, Achim Streit
2022 J jnl
HyDe: The First Open-Source, Python-Based, GPU-Accelerated Hyperspectral Denoising Package.
CoRR
Daniel Coquelin, Behnood Rasti, Markus Götz, Pedram Ghamisi, Richard Gloaguen, Achim Streit
2022 — conf
Hyde: The First Open-Source, Python-Based, Gpu-Accelerated Hyperspectral Denoising Package.
WHISPERS
Daniel Coquelin, Behnood Rasti, Markus Götz, Pedram Ghamisi, Richard Gloaguen, Achim Streit
2022 J jnl
Learning Tree Structures from Leaves For Particle Decay Reconstruction.
CoRR
James Kahn, Ilias Tsaklidis, Oskar Taubert, Lea Reuter, Giulio Dujany, Tobias Boeckh, Arthur Thaller, Pablo Goldenzweig, Florian U. Bernlochner, Achim Streit, Markus Götz
2022 J jnl
Learning tree structures from leaves for particle decay reconstruction.
Mach. Learn. Sci. Technol.
James Kahn, Ilias Tsaklidis, Oskar Taubert, Lea Reuter, Giulio Dujany, Tobias Boeckh, Arthur Thaller, Pablo Goldenzweig, Florian U. Bernlochner, Achim Streit, Markus Götz
2022 — conf
Precise Energy Consumption Measurements of Heterogeneous Artificial Intelligence Workloads.
ISC Workshops
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
2022 J jnl
Precise Energy Consumption Measurements of Heterogeneous Artificial Intelligence Workloads.
CoRR
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
2022 — conf
Prediction of Optimal Solvers for Sparse Linear Systems Using Deep Learning.
PP
Yannick Funk, Markus Götz, Hartwig Anzt
2021 J jnl
Accelerating Neural Network Training with Distributed Asynchronous and Selective Optimization (DASO).
CoRR
Daniel Coquelin, Charlotte Debus, Markus Götz, Fabrice von der Lehr, James Kahn, Martin Siggel, Achim Streit
2021 J jnl
Dynamic particle swarm optimization of biomolecular simulation parameters with flexible objective functions.
Nat. Mach. Intell.
Marie Weiel, Markus Götz, André Klein, Daniel Coquelin, Ralf Floca, Alexander Schug
2021 C conf
Evolutionary Optimization of Neural Architectures in Remote Sensing Classification Problems.
IGARSS
Daniel Coquelin, Rocco Sedona, Morris Riedel, Markus Götz
2020 — conf
HeAT - a Distributed and GPU-accelerated Tensor Framework for Data Analytics.
IEEE BigData
Markus Götz, Charlotte Debus, Daniel Coquelin, Kai Krajsek, Claudia Comito, Philipp Knechtges, Björn Hagemeier, Michael Tarnawa, Simon Hanselmann, Martin Siggel, Achim Basermann, Achim Streit
2020 J jnl
HeAT - a Distributed and GPU-accelerated Tensor Framework for Data Analytics.
CoRR
Markus Götz, Daniel Coquelin, Charlotte Debus, Kai Krajsek, Claudia Comito, Philipp Knechtges, Björn Hagemeier, Michael Tarnawa, Simon Hanselmann, Martin Siggel, Achim Basermann, Achim Streit
2020 C conf
Loss Scheduling for Class-Imbalanced Image Segmentation Problems.
ICMLA
Oskar Taubert, Markus Götz, Alexander Schug, Achim Streit
2019 J jnl
Automatic water mixing event identification in the Koljö fjord observatory data.
Int. J. Data Sci. Anal.
Markus Götz, Mikhail Kononets, Christian Bodenstein, Morris Riedel, Matthias Book, Olafur P. Palsson
2018 J jnl
Parallel Computation of Component Trees on Distributed Memory Machines.
IEEE Trans. Parallel Distributed Syst.
Markus Götz, Gabriele Cavallaro, Thierry Géraud, Matthias Book, Morris Riedel
2018 C conf
The Influence of Sampling Methods on Pixel-Wise Hyperspectral Image Classification with 3D Convolutional Neural Networks.
IGARSS
Julius Lange, Gabriele Cavallaro, Markus Götz, Ernir Erlingsson, Morris Riedel
2017 — conf
Facilitating collaboration in high-performance computing projects with an interaction room.
SEPS@SPLASH
Matthias Book, Morris Riedel, Helmut Neukirchen, Markus Götz
2016 C conf
Automatic Object Detection Using DBSCAN for Counting Intoxicated Flies in the FLORIDA Assay.
ICMLA
Christian Bodenstein, Markus Götz, Annika Jansen, Henrike Scholz, Morris Riedel
2015 — conf
HPDBSCAN: highly parallel DBSCAN.
MLHPC@SC
Markus Götz, Christian Bodenstein, Morris Riedel
2015 Misc conf
On Scalable Data Mining Techniques for Earth Science.
ICCS
Markus Götz, Matthias Richerzhagen, Christian Bodenstein, Gabriele Cavallaro, Philipp Glock, Morris Riedel, Jón Atli Benediktsson
2015 — conf
Scalable and parallel machine learning algorithms for statistical data mining - Practice & experience.
MIPRO
Morris Riedel, Markus Götz, Matthias Richerzhagen, Philipp Glock, Christian Bodenstein, Ahmed Shiraz Memon, M. Shahbaz Memon
2015 C conf
Scalable developments for big data analytics in remote sensing.
IGARSS
Gabriele Cavallaro, Morris Riedel, Christian Bodenstein, Philipp Glock, Matthias Richerzhagen, Markus Götz, Jón Atli Benediktsson
2014 C conf
Smart data analytics methods for remote sensing applications.
IGARSS
Gabriele Cavallaro, Morris Riedel, Jón Atli Benediktsson, Markus Götz, Tomas Runarsson, Kristjan Jonasson, Thomas Lippert
2010 B conf
Syncro - Concurrent Editing Library for Google Wave.
ICWE
Michael Goderbauer, Markus Götz, Alexander Großkopf, Andreas Meyer, Mathias Weske