Search Results for author: Dominik J. Mühlematter

Found 2 papers, 1 papers with code

LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networks

1 code implementation23 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).

Decision Making

Spatially-Aware Car-Sharing Demand Prediction

no code implementations25 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.

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