Daniel Durstewitz

1. Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series
   2021/11/04 by Daniel Kramer, Philine Lou Bommer, Kramer, Daniel +7 · 5 citations
   Computer Science · Neuroscience · #EEG and Brain-Computer Interfaces #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Neural dynamics and brain function #Quantitative Methods (q-bio.QM)
2. True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics
   2025/05/19 by Christoph Jürgen Hemmer, Daniel Durstewitz, Hemmer, Christoph Jürgen +1 · 1 voice · 7 citations
   Computer Science · Engineering · #Generative Adversarial Networks and Image Synthesis #Gaussian Processes and Bayesian Inference #Autonomous Vehicle Technology and Safety
3. Out-of-Domain Generalization in Dynamical Systems Reconstruction
   2024/02/28 by Niclas Göring, Florian Hess, Göring, Niclas +7 · 1 voice · 2 citations
   Computer Science · Mathematics · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Chaotic Dynamics (nlin.CD) #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #cs.AI #cs.LG #math.DS #nlin.CD
4. Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data
   2024/10/07 by Manuel Brenner, Brenner, Manuel, Elias Weber +5 · 1 voice · 2 citations
   Computer Science · #Time Series Analysis and Forecasting #cs.AI #cs.LG #math.DS #nlin.CD #physics.data-an
5. Position: A Dynamical Systems Perspective is Needed to Advance Time Series Modeling
   2026/02/18 by Daniel Durstewitz, Christoph Jürgen Hemmer, Florian Hess +2 · 2 voices
   #cs.LG #cs.AI #math.DS
6. Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction
   2024/10/18 by Manuel Brenner, Brenner, Manuel, Christoph Jürgen Hemmer +5 · 1 voice · 1 citation
   Computer Science · Mathematics · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Chaotic Dynamics (nlin.CD) #Data Analysis #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Statistics and Probability (physics.data-an) #cs.AI #cs.LG #math.DS #nlin.CD #physics.data-an
7. Continuous-Time Piecewise-Linear Recurrent Neural Networks
   2026/02/17 by Alena Brändle, Lukas Eisenmann, Florian Götz +1 · 1 voice · 2 citations
   #cs.LG
8. A Minimal Interpretable Architecture for Zero-Shot Reconstruction of Dynamical Systems
   2026/07/16 by Christoph Jürgen Hemmer, Florian Plaswig, Daniel Durstewitz
   #cs.LG #cs.AI #math.DS #nlin.CD