:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Durstewitz, Daniel, Hemmer, Christoph Jürgen, Hess, Florian, Doll, Charlotte Ricarda, Eisenmann, Lukas
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Dynamical Systems
Online Access:	https://arxiv.org/abs/2602.16864
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction
by: Hemmer, Christoph Jürgen, et al.
Published: (2024)

True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics
by: Hemmer, Christoph Jürgen, et al.
Published: (2025)

Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction
by: Brenner, Manuel, et al.
Published: (2024)

Out-of-Domain Generalization in Dynamical Systems Reconstruction
by: Göring, Niclas, et al.
Published: (2024)

Detecting Invariant Manifolds in ReLU-Based RNNs
by: Eisenmann, Lukas, et al.
Published: (2025)

Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data
by: Brenner, Manuel, et al.
Published: (2024)

Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics
by: Brenner, Manuel, et al.
Published: (2022)

Parallel-in-Time Training of Recurrent Neural Networks for Dynamical Systems Reconstruction
by: Hess, Florian, et al.
Published: (2026)

Teacher Forcing as Generalized Bayes: Optimization Geometry Mismatch in Switching Surrogates for Chaotic Dynamics
by: Herz, Andre, et al.
Published: (2026)

A scalable generative model for dynamical system reconstruction from neuroimaging data
by: Volkmann, Eric, et al.
Published: (2024)

When Static Models Meet Dynamic Disease: Why Ignoring Clinical Dynamics Risks Building Bias into Health AI. Clinical AI & Dynamic Systems — URM Series.
by: Domargård, Anita
Published: (2026)

Continuous-Time Piecewise-Linear Recurrent Neural Networks
by: Brändle, Alena, et al.
Published: (2026)

Dynamics, Complexity and Time Series Analysis
by: Tan, Eugene, et al.
Published: (2026)

Model Predictive Control of Hybrid Dynamical Systems
by: Sanfelice, Ricardo G., et al.
Published: (2026)

Feedback-Coupled Memory Systems: A Dynamical Model for Adaptive Coordination
by: Grassi, Stefano
Published: (2026)

Dynamical Systems Theory Behind a Hierarchical Reasoning Model
by: Es'kin, Vasiliy A., et al.
Published: (2026)

Learning Chaotic Systems and Long-Term Predictions with Neural Jump ODEs
by: Krach, Florian, et al.
Published: (2024)

Dynamical Systems Perspective for a Real-Time Response to a Marine Oil Spill
by: Garcia-Garrido, V. J., et al.
Published: (2025)

Mechanisms and Pathways of Extreme Events in Partially-Observed Stochastic Dynamical Systems
by: Moser, Charlotte, et al.
Published: (2026)

Designing for Impact: Engaging Stakeholders With System Dynamics Models
by: Florian Kapmeier, et al.
Published: (2026)

Causal Structure Learning for Dynamical Systems with Theoretical Score Analysis
by: Tagliapietra, Nicholas, et al.
Published: (2025)

Time Series Correlations and Kolmogorov Complexity: A Hausdorff Dimension Perspective
by: Hamzi, Boumediene, et al.
Published: (2026)

Dynamically Optimal Projection onto Slow Spectral Manifolds for Linear Systems
by: Kogelbauer, Florian, et al.
Published: (2025)

Characterization of Translation Bounded Measure Dynamical Systems and Positive Measure Dynamical Systems within the Spatial Processes
by: Sieron, Franziska
Published: (2025)

Unified Long-Term Time-Series Forecasting Benchmark
by: Cyranka, Jacek, et al.
Published: (2023)

Bayesian Inference in Recurrent Explicit Duration Switching Linear Dynamical Systems
by: Słupiński, Mikołaj, et al.
Published: (2024)

Time and State Dependent Neural Delay Differential Equations
by: Monsel, Thibault, et al.
Published: (2023)

KPFlow: An Operator Perspective on Dynamic Collapse Under Gradient Descent Training of Recurrent Networks
by: Hazelden, James, et al.
Published: (2025)

Hybrid Energy-Based Models for Physical AI: Provably Stable Identification of Port-Hamiltonian Dynamics
by: Betteti, Simone, et al.
Published: (2026)

Time-Spectral Resolvent Analysis For Periodic Dynamical Systems
by: Howell, Max, et al.
Published: (2026)

Agentic Hives: Equilibrium, Indeterminacy, and Endogenous Cycles in Self-Organizing Multi-Agent Systems
by: Garnier, Jean-Philippe
Published: (2026)

Large-Step Training Dynamics of a Two-Factor Linear Transformer Model
by: Balasubramanian, Krishnakumar
Published: (2026)

Cycling Signatures: Identifying Cycling Motions in Time Series using Algebraic Topology
by: Bauer, Ulrich, et al.
Published: (2023)

Learning Global Linear Representations of Nonlinear Dynamics
by: Breunung, Thomas, et al.
Published: (2024)

Time-to-reach Bounds for Verification of Dynamical Systems Using the Koopman Spectrum
by: Ding, Jianqiang, et al.
Published: (2024)

Pancreatic $β-$Cell Dynamics with Three-Time-Scale Systems
by: Pallab, Navojit Dhali
Published: (2025)

Controlling Dynamical Systems into Unseen Target States Using Machine Learning
by: Köglmayr, Daniel, et al.
Published: (2024)

Computational Dynamical Systems
by: Cotler, Jordan, et al.
Published: (2024)

A Dynamical Systems Perspective on the Analysis of Neural Networks
by: Chemnitz, Dennis, et al.
Published: (2025)

Identifying Equivalent Training Dynamics
by: Redman, William T., et al.
Published: (2023)