Hanne Raum

This study evaluates how well process-guided neural networks perform in forest carbon flux modeling under data-scarce and changing conditions, finding they outperform traditional models and show better transferability.

This paper proposes a deep learning method to align neural network architectures across species for single-cell data, revealing commonalities and differences in gene expression.