Search Results for author: Christopher Irrgang

Found 2 papers, 1 papers with code

German Text Embedding Clustering Benchmark

2 code implementations5 Jan 2024 Silvan Wehrli, Bert Arnrich, Christopher Irrgang

This work introduces a benchmark assessing the performance of clustering German text embeddings in different domains.

Clustering

Will Artificial Intelligence supersede Earth System and Climate Models?

no code implementations22 Jan 2021 Christopher Irrgang, Niklas Boers, Maike Sonnewald, Elizabeth A. Barnes, Christopher Kadow, Joanna Staneva, Jan Saynisch-Wagner

We outline a perspective of an entirely new research branch in Earth and climate sciences, where deep neural networks and Earth system models are dismantled as individual methodological approaches and reassembled as learning, self-validating, and interpretable Earth system model-network hybrids.

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