2026
Herz A., Durstewitz D. & Koppe G.
Teacher Forcing as Generalized Bayes:
Optimization Geometry Mismatch in Switching Surrogates for Chaotic Dynamics
preprint arXiv: https://arxiv.org/abs/2604.25904
Presented at AISTATS OPTIMAL workshop
Guennouni I., Korn C., Koppe G.
The Price of Dark Traits: Strategic Exploitation and Its Limitations in Repeated Interactions
Royal Society Open Science, 2026 13 (4): 252047, https://doi.org/10.1098/rsos.252047
Pritsch M. & Koppe G.
Deep Active Inference with Neural Stochastic Differential Equations
Proceedings of the Sixth International Workshop on Active Inference
Brändle A., Eisenmann L., Götz F. & Durstewitz D.
Continuous-Time Piecewise-Linear Recurrent Neural Networks
preprint arXiv: https://arxiv.org/abs/2602.15649
Brenner M. & Koppe G.
Uncovering the Computational Roles of Nonlinearity in Sequence Modeling
Transactions on Machine Learning Research
2025
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
Rauschenberg C., Schirmbeck F., Fechtelpeter J., Wierzba E., Hiller S., Kahr K., KoppeϮ G. & ReininghausϮ 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
preprint PsyArXiv: https://doi.org/10.31234/osf.io/mvyar
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
