2024
Rauschenberg C., Schirmbeck F., Fechtelpeter J., Wierzba E., Hiller S., Kahr K., Koppe* G. & Reininghaus* U.
Effects of AI4U training, a machine learning-based, adaptive ecological momentary intervention for personalized mental health promotion in youth: findings from a micro-randomized trial
2024, October 13, https://doi.org/10.31234/osf.io/mvyar
Brenner* M., Weber* E., KoppeϮ G. & DurstewitzϮ D.
Learning interpretable hierarchical dynamical systems models from time series data
preprint arXiv: 2410.04814
Volkmann E., Braendle A., Durstewitz D. & Koppe G.
A scalable generative model for dynamical system reconstruction from neuroimaging data
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
Brenner M., Guennouni I., Durstewitz D., Schmidt S. N. L., Lis S., Kirsch P. & Koppe G.
Digital twins of human social interactions reveal behavioral strategies in exchange games
2024, September 20, https://doi.org/10.31234/osf.io/m6pnq
Brenner M., Hess F., Koppe G., Durstewitz D.
Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics
Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4482-4516, 2024
Fechtelpeter J., Rauschenberg C., Jamalabadi H., Boecking B., van Amelsvoort T., Reininghaus U., Durstewitz D., Koppe G.
A control theoretic approach to evaluate and inform ecological momentary interventions
International Journal of Methods in Psychiatric Research, 2024, e70001, https://doi.org/10.1002/mpr.70001
