Selected Recent Publications

2026

Brenner M. & Koppe G.
Uncovering the Computational Roles of Nonlinearity in Sequence Modeling
Transactions on Machine Learning Research

2025

Pritsch M. & Koppe G. 
Deep Active Inference with Neural Stochastic Differential Equations
Proceedings of the Sixth International Workshop on Active Inference, accepted for publication

Durstewitz D., Averbeck B. & Koppe G.
What Neuroscience Can Tell AI About Learning in Continuously Changing Environments
Nature Machine Intelligence (2025)

Emonds N., Herberg E., Gerchen M. F., Pritsch M., Rocha J., Zamoscik V., Kirsch P., Herzog R. & Koppe G.
A Data-Driven Closed-Loop Control Approach to Drive Neural State Transitions for Mechanistic Insight
preprint bioRxiv: https://doi.org/10.1101/2025.07.21.665992

Fechtelpeter J., Rauschenberg C., Goetzl C., Hiller S., Emonds N. , Krumm S., ReinighausϮ U., DurstewitzϮ D. & KoppeϮ G.
Computational Network Models for Forecasting and Control of Mental Health Trajectories in Digital Applications
npj Digital Medicine

Brenner* M., Weber* E., KoppeϮ G. & DurstewitzϮ D.
Learning Interpretable Hierarchical Dynamical Systems Models From Time Series Data
The Thirteenth International Conference on Learning Representations, 2025

2024

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
preprint PsyArXiv: 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