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Georgia Koppe
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2020 – today
- 2025
- [c5]Manuel Brenner, Elias Weber, Georgia Koppe, Daniel Durstewitz:
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data. ICLR 2025 - 2024
- [c4]Manuel Brenner, Florian Hess, Georgia Koppe, Daniel Durstewitz:
Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics. ICML 2024 - [c3]Eric Volkmann, Alena Brändle, Daniel Durstewitz, Georgia Koppe:
A scalable generative model for dynamical system reconstruction from neuroimaging data. NeurIPS 2024 - [i6]Manuel Brenner, Elias Weber, Georgia Koppe, Daniel Durstewitz:
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data. CoRR abs/2410.04814 (2024) - [i5]Eric Volkmann, Alena Brändle, Daniel Durstewitz, Georgia Koppe:
A scalable generative model for dynamical system reconstruction from neuroimaging data. CoRR abs/2411.02949 (2024) - 2022
- [c2]Daniel Kramer, Philine Lou Bommer, Daniel Durstewitz, Carlo Tombolini, Georgia Koppe:
Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series. ICML 2022: 11613-11633 - [i4]Manuel Brenner, Georgia Koppe, Daniel Durstewitz:
Multimodal Teacher Forcing for Reconstructing Nonlinear Dynamical Systems. CoRR abs/2212.07892 (2022) - 2021
- [c1]Dominik Schmidt, Georgia Koppe, Zahra Monfared, Max Beutelspacher, Daniel Durstewitz:
Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies. ICLR 2021 - [i3]Philine Lou Bommer, Daniel Kramer, Carlo Tombolini, Georgia Koppe, Daniel Durstewitz:
Identifying nonlinear dynamical systems from multi-modal time series data. CoRR abs/2111.02922 (2021)
2010 – 2019
- 2019
- [j3]Georgia Koppe
, Hazem Toutounji
, Peter Kirsch, Stefanie Lis
, Daniel Durstewitz
:
Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI. PLoS Comput. Biol. 15(8) (2019) - [i2]Georgia Koppe, Hazem Toutounji, Peter Kirsch, Stefanie Lis, Daniel Durstewitz:
Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI. CoRR abs/1902.07186 (2019) - [i1]Dominik Schmidt, Georgia Koppe, Max Beutelspacher, Daniel Durstewitz:
Inferring Dynamical Systems with Long-Range Dependencies through Line Attractor Regularization. CoRR abs/1910.03471 (2019) - 2015
- [j2]Georgia Koppe
, A. Heidel, Gebhard Sammer, M. Bohus, Bernd Gallhofer, Peter Kirsch
, Stefanie Lis:
Temporal unpredictability of a stimulus sequence and the processing of neutral and emotional stimuli. NeuroImage 120: 214-224 (2015) - 2014
- [j1]Georgia Koppe, Harald Gruppe, Gebhard Sammer, Bernd Gallhofer, Peter Kirsch
, Stefanie Lis
:
Temporal unpredictability of a stimulus sequence affects brain activation differently depending on cognitive task demands. NeuroImage 101: 236-244 (2014)
Coauthor Index
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