Author

Patrick Mäder

3 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#machine learning Preprint Oct 2026

When does a network's training history predict its future learning better than its current state? Evidence from a response probe and a forecasting screen

Networks that behave alike now can still learn differently when training continues. Work on loss of plasticity and critical periods shows that the path to a state shapes what follows; it does not show whether the path carries information that a measurement of the state itself misses. We ask when the training history of...

Martin Hofmann, Patrick Mäder · 0 citations

Open access Sep 2026

Balanced DNA interpolation improves learning of genetic distance-informed embeddings in plants

In taxonomic research, traditional phylogenetic tree and structure analyses of genetic data are increasingly complemented by machine-learning-based identification and representation learning. Although the amount of DNA data needed to train state-of-the-art machine learning models often exceeds what can realistically be...

Lara M. Kösters, Kevin Karbstein, Ladislav Hodač et al. · PLoS Computational Biology · 0 citations

Open access Jul 2026

Predicting the dynamic behavior of memristive devices using recurrent neural networks

These results establish practical design rules for applying RNN-based surrogates in model-driven design and optimization of memristive devices and establish practical design rules for applying RNN-based surrogates in model-driven design and optimization of memristive devices.

Somayeh Rezaei, Benjamin Spetzler, Patrick Mäder · APL Machine Learning · 0 citations