Backpropagation on Dynamical Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Tan, Eugene, Corrêa, Débora, Stemler, Thomas, Small, Michael |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Selecting embedding delays: An overview of embedding techniques and a new method using persistent homology
by: Tan, Eugene, et al.
Published: (2023)
by: Tan, Eugene, et al.
Published: (2023)
PINN-Obs: Physics-Informed Neural Network-Based Observer for Nonlinear Dynamical Systems
by: Farkane, Ayoub, et al.
Published: (2025)
by: Farkane, Ayoub, et al.
Published: (2025)
Dynamics-Informed Deep Learning for Predicting Extreme Events
by: Katsidoniotaki, Eirini, et al.
Published: (2026)
by: Katsidoniotaki, Eirini, et al.
Published: (2026)
Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics
by: Brenner, Manuel, et al.
Published: (2022)
by: Brenner, Manuel, et al.
Published: (2022)
Deep Learning of the Evolution Operator Enables Forecasting of Out-of-Training Dynamics in Chaotic Systems
by: Shokar, Ira J. S., et al.
Published: (2025)
by: Shokar, Ira J. S., et al.
Published: (2025)
CEBoosting: Online Sparse Identification of Dynamical Systems with Regime Switching by Causation Entropy Boosting
by: Chen, Chuanqi, et al.
Published: (2023)
by: Chen, Chuanqi, et al.
Published: (2023)
Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction
by: Hemmer, Christoph Jürgen, et al.
Published: (2024)
by: Hemmer, Christoph Jürgen, et al.
Published: (2024)
Data-driven model order reduction for structures with piecewise linear nonlinearity using dynamic mode decomposition
by: Saito, Akira, et al.
Published: (2026)
by: Saito, Akira, et al.
Published: (2026)
FEG-Pro: Forecast-Error Growth Profiling for Finite-Horizon Instability Analysis of Nonlinear Time Series
by: Velichko, Andrei, et al.
Published: (2026)
by: Velichko, Andrei, et al.
Published: (2026)
Deficiency of equation-finding approach to data-driven modeling of dynamical systems
by: Zhai, Zheng-Meng, et al.
Published: (2025)
by: Zhai, Zheng-Meng, et al.
Published: (2025)
Data-driven forced response analysis with min-max representations of nonlinear restoring forces
by: Saito, Akira, et al.
Published: (2026)
by: Saito, Akira, et al.
Published: (2026)
Complex fractal trainability boundary can arise from trivial non-convexity
by: Liu, Yizhou
Published: (2024)
by: Liu, Yizhou
Published: (2024)
Machine-Precision Prediction of Low-Dimensional Chaotic Systems
by: Schötz, Christof, et al.
Published: (2025)
by: Schötz, Christof, et al.
Published: (2025)
Weighted Birkhoff Averages Accelerate Data-Driven Methods
by: Bou-Sakr-El-Tayar, Maria, et al.
Published: (2025)
by: Bou-Sakr-El-Tayar, Maria, et al.
Published: (2025)
Out-of-Domain Generalization in Dynamical Systems Reconstruction
by: Göring, Niclas, et al.
Published: (2024)
by: Göring, Niclas, et al.
Published: (2024)
Invariant Measures in Time-Delay Coordinates for Unique Dynamical System Identification
by: Botvinick-Greenhouse, Jonah, et al.
Published: (2024)
by: Botvinick-Greenhouse, Jonah, et al.
Published: (2024)
True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics
by: Hemmer, Christoph Jürgen, et al.
Published: (2025)
by: Hemmer, Christoph Jürgen, et al.
Published: (2025)
State Estimation Using Sparse DEIM and Recurrent Neural Networks
by: Farazmand, Mohammad
Published: (2024)
by: Farazmand, Mohammad
Published: (2024)
Physics-Guided Actor-Critic Reinforcement Learning for Swimming in Turbulence
by: Koh, Christopher, et al.
Published: (2024)
by: Koh, Christopher, et al.
Published: (2024)
Controlling Dynamical Systems into Unseen Target States Using Machine Learning
by: Köglmayr, Daniel, et al.
Published: (2024)
by: Köglmayr, Daniel, et al.
Published: (2024)
Optimizing the Network Topology of a Linear Reservoir Computer
by: Tangerami, Sahand, et al.
Published: (2025)
by: Tangerami, Sahand, et al.
Published: (2025)
Conditioning on PDE Parameters to Generalise Deep Learning Emulation of Stochastic and Chaotic Dynamics
by: Shokar, Ira J. S., et al.
Published: (2025)
by: Shokar, Ira J. S., et al.
Published: (2025)
Network Dynamics-Based Framework for Understanding Deep Neural Networks
by: Lin, Yuchen, et al.
Published: (2025)
by: Lin, Yuchen, et al.
Published: (2025)
Developing cholera outbreak forecasting through qualitative dynamics: Insights into Malawi case study
by: Ghosh, Adrita, et al.
Published: (2025)
by: Ghosh, Adrita, et al.
Published: (2025)
Horizon-Constrained Rashomon Sets for Chaotic Forecasting
by: Kale, Gauri, et al.
Published: (2026)
by: Kale, Gauri, et al.
Published: (2026)
Sparse identification of quasipotentials via a combined data-driven method
by: Lin, Bo, et al.
Published: (2024)
by: Lin, Bo, et al.
Published: (2024)
Simplicity bias, algorithmic probability, and the random logistic map
by: Hamzi, Boumediene, et al.
Published: (2023)
by: Hamzi, Boumediene, et al.
Published: (2023)
Learning Beyond Experience: Generalizing to Unseen State Space with Reservoir Computing
by: Norton, Declan A., et al.
Published: (2025)
by: Norton, Declan A., et al.
Published: (2025)
Constants of Motion for Conserved and Non-conserved Dynamics
by: Zimmer, Michael F.
Published: (2024)
by: Zimmer, Michael F.
Published: (2024)
Hierarchy of extreme-event predictability in turbulence revealed by machine learning
by: Yang, Yuxuan, et al.
Published: (2026)
by: Yang, Yuxuan, et al.
Published: (2026)
Streams and Graphs of Dynamical Systems
by: De Leo, Roberto, et al.
Published: (2024)
by: De Leo, Roberto, et al.
Published: (2024)
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network
by: Rostamijavanani, Abdolvahhab, et al.
Published: (2024)
by: Rostamijavanani, Abdolvahhab, et al.
Published: (2024)
Data-Driven Linearization of Dynamical Systems
by: Haller, George, et al.
Published: (2024)
by: Haller, George, et al.
Published: (2024)
Incorporating Coupling Knowledge into Echo State Networks for Learning Spatiotemporally Chaotic Dynamics
by: Chu, Kuei-Jan, et al.
Published: (2025)
by: Chu, Kuei-Jan, et al.
Published: (2025)
Networks of Pendula with Diffusive Interactions
by: Bonetto, Riccardo, et al.
Published: (2024)
by: Bonetto, Riccardo, et al.
Published: (2024)
Minimal Deterministic Echo State Networks Outperform Random Reservoirs in Learning Chaotic Dynamics
by: Martinuzzi, Francesco
Published: (2025)
by: Martinuzzi, Francesco
Published: (2025)
Invariant Measures for Data-Driven Dynamical System Identification: Analysis and Application
by: Botvinick-Greenhouse, Jonah
Published: (2025)
by: Botvinick-Greenhouse, Jonah
Published: (2025)
On the Dynamics of Complex Quadratic Families under Holomorphic and Non-Holomorphic Singular Perturbations
by: Shang, Haitao
Published: (2020)
by: Shang, Haitao
Published: (2020)
Data-Driven Reduced Modeling of Delayed Dynamical Systems via Spectral Submanifolds
by: Abbasciano, Giacomo, et al.
Published: (2026)
by: Abbasciano, Giacomo, et al.
Published: (2026)
Modeling Unsteady Aircraft Aerodynamics Using Lorenz Attractor: A Reduced-Order Approach for Wing Rock
by: Menner, Marcel, et al.
Published: (2025)
by: Menner, Marcel, et al.
Published: (2025)
Similar Items
-
Selecting embedding delays: An overview of embedding techniques and a new method using persistent homology
by: Tan, Eugene, et al.
Published: (2023) -
PINN-Obs: Physics-Informed Neural Network-Based Observer for Nonlinear Dynamical Systems
by: Farkane, Ayoub, et al.
Published: (2025) -
Dynamics-Informed Deep Learning for Predicting Extreme Events
by: Katsidoniotaki, Eirini, et al.
Published: (2026) -
Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics
by: Brenner, Manuel, et al.
Published: (2022) -
Deep Learning of the Evolution Operator Enables Forecasting of Out-of-Training Dynamics in Chaotic Systems
by: Shokar, Ira J. S., et al.
Published: (2025)