Syncro - Concurrent Editing Library for Google Wave. - Michael Goderbauer; Markus Götz; Alexander Großkopf; Andreas Meyer 001; Mathias Weske (ICWE, 2010)

Smart data analytics methods for remote sensing applications. - Gabriele Cavallaro; Morris Riedel; Jón Atli Benediktsson; Markus Götz; Tomas Runarsson; Kristjan Jonasson; Thomas Lippert (IGARSS, 2014)

On Scalable Data Mining Techniques for Earth Science. - Markus Götz; Matthias Richerzhagen; Christian Bodenstein; Gabriele Cavallaro; Philipp Glock; Morris Riedel; Jón Atli Benediktsson (ICCS, 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 (IGARSS, 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 (MIPRO, 2015)

HPDBSCAN: highly parallel DBSCAN. - Markus Götz; Christian Bodenstein; Morris Riedel (MLHPC@SC, 2015)

Automatic Object Detection Using DBSCAN for Counting Intoxicated Flies in the FLORIDA Assay. - Christian Bodenstein; Markus Götz; Annika Jansen; Henrike Scholz; Morris Riedel (ICMLA, 2016)

Facilitating collaboration in high-performance computing projects with an interaction room. - Matthias Book; Morris Riedel; Helmut Neukirchen; Markus Götz (SEPS@SPLASH, 2017)

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 (IGARSS, 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)

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)

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 (IEEE BigData, 2020)

Loss Scheduling for Class-Imbalanced Image Segmentation Problems. - Oskar Taubert; Markus Götz; Alexander Schug; Achim Streit (ICMLA, 2020)

Evolutionary Optimization of Neural Architectures in Remote Sensing Classification Problems. - Daniel Coquelin; Rocco Sedona; Morris Riedel; Markus Götz (IGARSS, 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)

Prediction of Optimal Solvers for Sparse Linear Systems Using Deep Learning. - Yannick Funk; Markus Götz; Hartwig Anzt (PP, 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; et al. (ISC Workshops, 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 (WHISPERS, 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)

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 U. Bernlochner; Achim Streit; Markus Götz (Mach. Learn. Sci. Technol., 2022)

perun: Benchmarking Energy Consumption of High-Performance Computing Applications. - Juan Pedro Gutiérrez H. Muriedas; Katharina Flügel; Charlotte Debus; Holger Obermaier; Achim Streit; Markus Götz (Euro-Par, 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 (ISC, 2023)

Feed-Forward Optimization With Delayed Feedback for Neural Networks. - Katharina Flügel; Daniel Coquelin; Marie Weiel; Charlotte Debus; Achim Streit; Markus Götz (CoRR, 2023)

Providing AI expertise as an infrastructure in academia. - Marie Piraud; Andrés Camero; Markus Götz; Stefan Kesselheim; Peter Steinbach; Tobias Weigel (Patterns, 2023)

Reporting electricity consumption is essential for sustainable AI. - Charlotte Debus; Marie Piraud; Achim Streit; Fabian J. Theis; Markus Götz (Nat. Mac. Intell., 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, 2023)

Harnessing Orthogonality to Train Low-Rank Neural Networks. - Daniel Coquelin; Katharina Flügel; Marie Weiel; Nicholas Kiefer; Charlotte Debus; Achim Streit; Markus Götz (ECAI, 2024)

Taylor Expansion in Neural Networks: How Higher Orders Yield Better Predictions. - Pavel Zwerschke; Arvid Weyrauch; Markus Götz; Charlotte Debus (ECAI, 2024)

Feasibility of Forecasting Highly Resolved Power Grid Frequency Utilizing Temporal Fusion Transformers. - Sebastian Pütz; Hadeer El Ashhab; Matthias Hertel; Ralf Mikut; Markus Götz; Veit Hagenmeyer; Benjamin Schäfer 001 (e-Energy, 2024)

Feed-Forward Optimization With Delayed Feedback for Neural Network Training. - Katharina Flügel; Daniel Coquelin; Marie Weiel; Charlotte Debus; Achim Streit; Markus Götz (ICONIP (4), 2024)

PETNet-Coincident Particle Event Detection using Spiking Neural Networks. - Jan Debus; Charlotte Debus; Günther Dissertori; Markus Götz (NICE, 2024)

Model Fusion via Neuron Transplantation. - Muhammed Öz; Nicholas Kiefer; Charlotte Debus; Jasmin Hörter; Achim Streit; Markus Götz (ECML/PKDD (4), 2024)

Vectorized Highly Parallel Density-Based Clustering for Applications With Noise. - Joseph Arnold Xavier; Juan Pedro Gutiérrez H. Muriedas; Stepan Nassyr; Rocco Sedona; Markus Götz; Achim Streit; Morris Riedel; Gabriele Cavallaro (IEEE Access, 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)

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)

Beyond Backpropagation: Optimization with Multi-Tangent Forward Gradients. - Katharina Flügel; Daniel Coquelin; Marie Weiel; Achim Streit; Markus Götz (CoRR, 2024)

AutoPQ: Automating Quantile estimation from Point forecasts in the context of sustainability. - Stefan Meisenbacher; Kaleb Phipps; Oskar Taubert; Marie Weiel; Markus Götz; Ralf Mikut; Veit Hagenmeyer (CoRR, 2024)

A Comparative Study of Pruning Methods in Transformer-based Time Series Forecasting. - Nicholas Kiefer; Arvid Weyrauch; Muhammed Öz; Achim Streit; Markus Götz; Charlotte Debus (CoRR, 2024)

Exploring Federated Learning for Thermal Urban Feature Segmentation - A Comparison of Centralized and Decentralized Approaches. - 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; et al. (ICCSA (1), 2025)

Large-Scale Modeling of the Extracellular Matrix on Hybrid Supercomputers Using Highly Parallel Stencil Computations. - Julian Herold; Paul Brinkmeier; Markus Götz; Alexander Schug; Achim Streit (ISC, 2025)

Ordinal METAR Cloud Cover Classification in Sentinel-2 Satellite Data. - Markus Götz; Erik Wessel; Ugur Çayoglu; Babak Jahani; Charlotte Debus; Jan Cermak; Achim Streit (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Enhancing UAS-Based Multispectral Semantic Segmentation Through Feature Engineering. - Elena Vollmer; Mishal Benz; James Kahn; Leon Klug; Rebekka Volk; Frank Schultmann; Markus Götz (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Jigsaw: Training Multi-Billion-Parameter AI Weather Models with Optimized Model Parallelism. - Deifilia Kieckhefen; Markus Götz; Lars H. Heyen; Achim Streit; Charlotte Debus (CoRR, 2025)

Energy Consumption in Parallel Neural Network Training. - Philipp Huber; David Li; Juan Pedro Gutiérrez H. Muriedas; Deifilia Kieckhefen; Markus Götz; Achim Streit; Charlotte Debus (CoRR, 2025)