Arvid Weyrauch

According to our database, Arvid Weyrauch authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Sampling Parallelism for Fast and Efficient Bayesian Learning.

Asena Karolin Özdemir, Lars H. Heyen, Arvid Weyrauch, Achim Streit, Markus Götz, Charlotte Debus

CoRR, April, 2026

Bayesian Lottery Ticket Hypothesis.

Nicholas Kuhn, Arvid Weyrauch, Lars H. Heyen, Achim Streit, Markus Götz, Charlotte Debus

CoRR, February, 2026

torch_blue: A Flexible Python Package for Bayesian Neural Networks in PyTorch.

Arvid Weyrauch, Lars H. Heyen, Juan Pedro Gutiérrez H. Muriedas, Pei-Hsuan Hsia, Asena Karolin Özdemir, Achim Streit, Markus Götz, Charlotte Debus

J. Open Source Softw., January, 2026

2025

A Comparative Study of Pruning Methods in Transformer-Based Time Series Forecasting.

Nicholas Kuhn, Arvid Weyrauch, Muhammed Öz, Achim Streit, Markus Götz, Charlotte Debus

Proceedings of the IEEE International Conference on Data Mining, 2025

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

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

Proceedings of the IEEE Conference on Artificial Intelligence, 2024

Taylor Expansion in Neural Networks: How Higher Orders Yield Better Predictions.

Pavel Zwerschke, Arvid Weyrauch, Markus Götz, Charlotte Debus

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

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, Charlotte Debus

Proceedings of the High Performance Computing. ISC High Performance 2022 International Workshops - Hamburg, Germany, May 29, 2022