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)

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

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)