Charlotte Debus

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Granger Causality

Genetic Optimization

Energy Consumption

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)
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)
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)
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)
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)
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)
Ina Kompan, Charlotte Debus, Michael Ingrisch, Klaus H. Maier-Hein, Amir Abdollahi, Marco Nolden, Ralf Floca
Abstract: MITK-ModelFit. Bildverarbeitung für die Medizin (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)
Charlotte Debus, Ralf Floca, Michael Ingrisch, Ina Kompan, Klaus H. Maier-Hein, Amir Abdollahi, Marco Nolden
MITK-ModelFit: A generic open-source framework for model fits and their exploration in medical imaging - design, implementation and application on the example of DCE-MRI. BMC Bioinform. 20 (1) (2019)