Klaus-Robert Müller
LIFE Berlin
Technische Universität Berlin
Machine Learning
Selected Publications
Bonneau, K., Lederer, J., Templeton, C., Rosenberger, D., Giambagli, L., Müller, K.-R., & Clementi, C. (2025). Peering inside the black box by learning the relevance of many-body functions in neural network potentials. Nature Communications, 16, Article 9898. https://doi.org/10.1038/s41467-025-65863-0
Muttenthaler, L., Greff, K., Born, F., Spitzer, B., Kornblith, S., Mozer, M. C., Müller, K.-R., Unterthiner, T., & Lampinen, A. K. (2025). Aligning machine and human visual representations across abstraction levels. Nature, 647, 349–355 (2025). https://doi.org/10.1038/s41586-025-09631-6
Schallenberg, S., Dernbach, G., Ruane, S., Jurmeister, P., Böhm, C., Standvoss, K., Ghosh, S., Frentsch, M., Dragomir, M. P., Keyl, P. G., Friedrich, C., Na, I.-K., Merkelbach-Bruse, S., Quaas, A., Frost, N., Boschung, K., Randerath, W., Schlachtenberger, G., Heldwein, M., ... Müller, K.-R., & Klauschen, F. (2025). AI-powered spatial cell phenomics enhances risk stratification in non-small cell lung cancer. Nature Communications, 16(1), Article 9701. https://doi.org/10.1038/s41467-025-65783-z