1 code implementation • 23 May 2024 • Michelle Halbheer, Dominik J. Mühlematter, Alexander Becker, Dominik Narnhofer, Helge Aasen, Konrad Schindler, Mehmet Ozgur Turkoglu
We introduce LoRA-Ensemble, a parameter-efficient deep ensemble method for self-attention networks, which is based on Low-Rank Adaptation (LoRA).
no code implementations • 25 Mar 2023 • Dominik J. Mühlematter, Nina Wiedemann, Yanan Xin, Martin Raubal
In particular, we compare the spatially-implicit Random Forest model with spatially-aware methods for predicting average monthly per-station demand.