Markus Gtz
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
14
Active years
2010–2026
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CCGRID | Inversetune: Inverse Synthetic Fine-Tuning for Reliable Structured Output in Small Language Models. | Markus Gtz, Hojjat Baghban |
| 2025 | ICCSA | 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 Gutirrez H. Muriedas, Markus Gtz, Judith Sinz-Pardo Daz, lvaro Lpez Garca, Frank Schultmann, Achim Streit |
| 2025 | ICDM | A Comparative Study of Pruning Methods in Transformer-Based Time Series Forecasting. | Nicholas Kuhn, Arvid Weyrauch, Muhammed z, Achim Streit, Markus Gtz, Charlotte Debus |
| 2025 | ICPP | pyGinkgo: A Sparse Linear Algebra Operator Framework for Python. | Keshvi Tuteja, Gregor Olenik, Roman Mishchuk, Yu-Hsiang Tsai, Markus Gtz, Achim Streit, Hartwig Anzt, Charlotte Debus |
| 2025 | IJCNN | Beyond Backpropagation: Optimization with Multi-Tangent Forward Gradients. | Katharina Flgel, Daniel Coquelin, Marie Weiel, Charlotte Debus, Achim Streit, Markus Gtz |
| 2024 | ECAI | Harnessing Orthogonality to Train Low-Rank Neural Networks. | Daniel Coquelin, Katharina Flgel, Marie Weiel, Nicholas Kiefer, Charlotte Debus, Achim Streit, Markus Gtz |
| 2024 | ECAI | Taylor Expansion in Neural Networks: How Higher Orders Yield Better Predictions. | Pavel Zwerschke, Arvid Weyrauch, Markus Gtz, Charlotte Debus |
| 2024 | ICONIP | Feed-Forward Optimization With Delayed Feedback for Neural Network Training. | Katharina Flgel, Daniel Coquelin, Marie Weiel, Charlotte Debus, Achim Streit, Markus Gtz |
| 2023 | EuroPar | perun: Benchmarking Energy Consumption of High-Performance Computing Applications. | Juan Pedro Gutirrez H. Muriedas, Katharina Flgel, Charlotte Debus, Holger Obermaier, Achim Streit, Markus Gtz |
| 2021 | IGARSS | Evolutionary Optimization of Neural Architectures in Remote Sensing Classification Problems. | Daniel Coquelin, Rocco Sedona, Morris Riedel, Markus Gtz |
| 2020 | ICMLA | Loss Scheduling for Class-Imbalanced Image Segmentation Problems. | Oskar Taubert, Markus Gtz, Alexander Schug, Achim Streit |
| 2018 | IGARSS | The Influence of Sampling Methods on Pixel-Wise Hyperspectral Image Classification with 3D Convolutional Neural Networks. | Julius Lange, Gabriele Cavallaro, Markus Gtz, Ernir Erlingsson, Morris Riedel |
| 2017 | OOPSLA | Facilitating collaboration in high-performance computing projects with an interaction room. | Matthias Book, Morris Riedel, Helmut Neukirchen, Markus Gtz |
| 2016 | ICMLA | Automatic Object Detection Using DBSCAN for Counting Intoxicated Flies in the FLORIDA Assay. | Christian Bodenstein, Markus Gtz, Annika Jansen, Henrike Scholz, Morris Riedel |
| 2015 | ICCS | On Scalable Data Mining Techniques for Earth Science. | Markus Gtz, Matthias Richerzhagen, Christian Bodenstein, Gabriele Cavallaro, Philipp Glock, Morris Riedel, Jn Atli Benediktsson |
| 2015 | IGARSS | Scalable developments for big data analytics in remote sensing. | Gabriele Cavallaro, Morris Riedel, Christian Bodenstein, Philipp Glock, Matthias Richerzhagen, Markus Gtz, Jn Atli Benediktsson |
| 2015 | SC | HPDBSCAN: highly parallel DBSCAN. | Markus Gtz, Christian Bodenstein, Morris Riedel |
| 2014 | IGARSS | Smart data analytics methods for remote sensing applications. | Gabriele Cavallaro, Morris Riedel, Jn Atli Benediktsson, Markus Gtz, Tomas Runarsson, Kristjan Jonasson, Thomas Lippert |
| 2010 | ICWE | Syncro - Concurrent Editing Library for Google Wave. | Michael Goderbauer, Markus Gtz, Alexander Grokopf, Andreas Meyer, Mathias Weske |