Author

Julia Herbinger

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#machine learning Preprint Sep 2026

A Hilbert-Valued Functional Decomposition Framework for Explaining Time-Dependent Outputs

Feature-based explanations quantify features'influence on model predictions, but are primarily designed for scalar outputs. In many applications, however, outputs are functional or multivariate, such as time-dependent trajectories in demand forecasting. Consequently, existing approaches typically explain each output lo...

S. Langbein, Niklas Koenen, Marvin N. Wright et al. · 0 citations

Open access Jul 2026

Predicting the seed microbiome using phylogeny-driven machine learning

This framework demonstrates that plant nuclear ITS-derived host relatedness carries a partial predictive signal for seed-associated bacterial microbiome composition, providing a foundation for low-input predictive modelling of seed-associated bacteria and may help prioritise microbiome predictions for unsampled plant s...

Julia Herbinger, D. Ramakrishnan, Jannik Reißfelder et al. · Environmental Microbiome · 0 citations