Charlotte Debus

38 papers A 2B 2C 1Journal 23Unranked 9
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
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 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 — 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
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
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 — 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
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
2020 — conf
Abstract: MITK-ModelFit.
Bildverarbeitung für die Medizin
Ina Kompan, Charlotte Debus, Michael Ingrisch, Klaus H. Maier-Hein, Amir Abdollahi, Marco Nolden, Ralf Floca
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
2019 J jnl
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.
Charlotte Debus, Ralf Floca, Michael Ingrisch, Ina Kompan, Klaus H. Maier-Hein, Amir Abdollahi, Marco Nolden
2016 — —
Integrative multimodal image analysis using physical models for characterization of brain tumors in radiotherapy
Charlotte Debus