Dynamics-Informed Reservoir Computing with Visibility Graphs
Fuente:
arXiv
Saved in:
| Main Authors: | Geier, Charlotte, Shanaz, Rasha, Stender, Merten |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Denoising and Reconstruction of Nonlinear Dynamics using Truncated Reservoir Computing
by: Sedehi, Omid, et al.
Published: (2025)
by: Sedehi, Omid, et al.
Published: (2025)
Bridging ocean wave physics and deep learning: Physics-informed neural operators for nonlinear wavefield reconstruction in real-time
by: Ehlers, Svenja, et al.
Published: (2025)
by: Ehlers, Svenja, et al.
Published: (2025)
Data assimilation and parameter identification for water waves using the nonlinear Schrödinger equation and physics-informed neural networks
by: Ehlers, Svenja, et al.
Published: (2024)
by: Ehlers, Svenja, et al.
Published: (2024)
Next-Generation Reservoir Computing for Dynamical Inference
by: Cestnik, Rok, et al.
Published: (2025)
by: Cestnik, Rok, et al.
Published: (2025)
OpenReservoirComputing: GPU-Accelerated Reservoir Computing in JAX
by: Williams, Jan, et al.
Published: (2026)
by: Williams, Jan, et al.
Published: (2026)
AI-Driven Optimization of Hardware Overlay Configurations
by: Karakchi, Rasha
Published: (2025)
by: Karakchi, Rasha
Published: (2025)
Machine learning for phase-resolved reconstruction of nonlinear ocean wave surface elevations from sparse remote sensing data
by: Ehlers, Svenja, et al.
Published: (2023)
by: Ehlers, Svenja, et al.
Published: (2023)
Ultra-Early Prediction of Tipping Points: Integrating Dynamical Measures with Reservoir Computing
by: Li, Xin, et al.
Published: (2026)
by: Li, Xin, et al.
Published: (2026)
Reservoir Computing Generalized
by: Kubota, Tomoyuki, et al.
Published: (2024)
by: Kubota, Tomoyuki, et al.
Published: (2024)
Hybridizing Traditional and Next-Generation Reservoir Computing to Accurately and Efficiently Forecast Dynamical Systems
by: Chepuri, Ravi, et al.
Published: (2024)
by: Chepuri, Ravi, et al.
Published: (2024)
Machine Learning-Based Graph Simplification for Symbolic Accelerators
by: Yu, Tiffany, et al.
Published: (2026)
by: Yu, Tiffany, et al.
Published: (2026)
Attention-Enhanced Reservoir Computing
by: Köster, Felix, et al.
Published: (2023)
by: Köster, Felix, et al.
Published: (2023)
Techniques for Enhancing Memory Capacity of Reservoir Computing
by: Yokota, Atsuki, et al.
Published: (2025)
by: Yokota, Atsuki, et al.
Published: (2025)
Node pruning reveals compact and optimal substructures within large networks
by: Yadav, Manish, et al.
Published: (2025)
by: Yadav, Manish, et al.
Published: (2025)
Boosting Reservoir Computing with Brain-inspired Adaptive Dynamics
by: Srinivasan, Keshav, et al.
Published: (2025)
by: Srinivasan, Keshav, et al.
Published: (2025)
Symplectic Reservoir Representation of Legendre Dynamics
by: Fong, Robert Simon, et al.
Published: (2025)
by: Fong, Robert Simon, et al.
Published: (2025)
Physics-informed neural networks for phase-resolved data assimilation and prediction of nonlinear ocean waves
by: Ehlers, Svenja, et al.
Published: (2025)
by: Ehlers, Svenja, et al.
Published: (2025)
Reservoir Computing: A New Paradigm for Neural Networks
by: Grezes, Felix
Published: (2025)
by: Grezes, Felix
Published: (2025)
Deterministic Reservoir Computing for Chaotic Time Series Prediction
by: Viehweg, Johannes, et al.
Published: (2025)
by: Viehweg, Johannes, et al.
Published: (2025)
Restrictions on Physical Stochastic Reservoir Computers
by: Polloreno, Anthony M.
Published: (2023)
by: Polloreno, Anthony M.
Published: (2023)
Optical Echo State Network Reservoir Computing
by: Kaushik, Ishwar S, et al.
Published: (2025)
by: Kaushik, Ishwar S, et al.
Published: (2025)
A Spectral Interpretation of Redundancy in a Graph Reservoir
by: Bison, Anna, et al.
Published: (2025)
by: Bison, Anna, et al.
Published: (2025)
Predicting magnetism with first-principles AI
by: Geier, Max, et al.
Published: (2026)
by: Geier, Max, et al.
Published: (2026)
Reservoir Computing for Fast, Simplified Reinforcement Learning on Memory Tasks
by: McKee, Kevin
Published: (2024)
by: McKee, Kevin
Published: (2024)
Versatile Reservoir Computing for Heterogeneous Complex Networks
by: Du, Yao, et al.
Published: (2025)
by: Du, Yao, et al.
Published: (2025)
Recurrent Quantum Feature Maps for Reservoir Computing
by: Singh, Utkarsh, et al.
Published: (2026)
by: Singh, Utkarsh, et al.
Published: (2026)
Lead Zirconate Titanate Reservoir Computing for Classification of Written and Spoken Digits
by: Buckley, Thomas, et al.
Published: (2026)
by: Buckley, Thomas, et al.
Published: (2026)
Time Shifts to Reduce the Size of Reservoir Computers
by: Carroll, Thomas L., et al.
Published: (2022)
by: Carroll, Thomas L., et al.
Published: (2022)
Sustainable NARMA-10 Benchmarking for Quantum Reservoir Computing
by: Kodali, Avyay, et al.
Published: (2025)
by: Kodali, Avyay, et al.
Published: (2025)
Reservoir Computing with Generalized Readout based on Generalized Synchronization
by: Ookubo, Akane, et al.
Published: (2024)
by: Ookubo, Akane, et al.
Published: (2024)
Temporal Convolution Derived Multi-Layered Reservoir Computing
by: Viehweg, Johannes, et al.
Published: (2024)
by: Viehweg, Johannes, et al.
Published: (2024)
Reservoir-Based Graph Convolutional Networks
by: Soussia, Mayssa, et al.
Published: (2026)
by: Soussia, Mayssa, et al.
Published: (2026)
ChemReservoir -- An Open-Source Framework for Chemically-Inspired Reservoir Computing
by: Yirik, Mehmet Aziz, et al.
Published: (2025)
by: Yirik, Mehmet Aziz, et al.
Published: (2025)
Reservoir Computing via Multi-Scale Random Fourier Features for Forecasting Fast-Slow Dynamical Systems
by: Laha, S. K.
Published: (2025)
by: Laha, S. K.
Published: (2025)
Superconducting Qubit Readout Using Next-Generation Reservoir Computing
by: Kent, Robert, et al.
Published: (2025)
by: Kent, Robert, et al.
Published: (2025)
Decoding Motor Behavior Using Deep Learning and Reservoir Computing
by: Lan, Tian
Published: (2025)
by: Lan, Tian
Published: (2025)
Resonant-Tunnelling Diode Reservoir Computing System for Image Recognition
by: Abbas, A. H., et al.
Published: (2025)
by: Abbas, A. H., et al.
Published: (2025)
Unsupervised Reservoir Computing for Multivariate Denoising of Severely Contaminated Signals
by: Choi, Jaesung, et al.
Published: (2024)
by: Choi, Jaesung, et al.
Published: (2024)
Using LLMs for Analyzing AIS Data
by: Merten, Gaspard, et al.
Published: (2025)
by: Merten, Gaspard, et al.
Published: (2025)
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
by: Daniels, Rishona, et al.
Published: (2026)
by: Daniels, Rishona, et al.
Published: (2026)
Similar Items
-
Denoising and Reconstruction of Nonlinear Dynamics using Truncated Reservoir Computing
by: Sedehi, Omid, et al.
Published: (2025) -
Bridging ocean wave physics and deep learning: Physics-informed neural operators for nonlinear wavefield reconstruction in real-time
by: Ehlers, Svenja, et al.
Published: (2025) -
Data assimilation and parameter identification for water waves using the nonlinear Schrödinger equation and physics-informed neural networks
by: Ehlers, Svenja, et al.
Published: (2024) -
Next-Generation Reservoir Computing for Dynamical Inference
by: Cestnik, Rok, et al.
Published: (2025) -
OpenReservoirComputing: GPU-Accelerated Reservoir Computing in JAX
by: Williams, Jan, et al.
Published: (2026)