Data-Specific Hyper-Parameter Design: A Paradigm Shift in Reservoir Computing
Fuente:
arXiv
Guardado en:
| Autores principales: | Manjunath, G, Ortega, Juan-Pablo, van der Merwe, Alma |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Reservoir Computing with Generalized Readout based on Generalized Synchronization
por: Ookubo, Akane, et al.
Publicado: (2024)
por: Ookubo, Akane, et al.
Publicado: (2024)
A Structure-Preserving Kernel Method for Learning Hamiltonian Systems
por: Hu, Jianyu, et al.
Publicado: (2024)
por: Hu, Jianyu, et al.
Publicado: (2024)
Attractor-merging Crises and Intermittency in Reservoir Computing
por: Kabayama, Tempei, et al.
Publicado: (2025)
por: Kabayama, Tempei, et al.
Publicado: (2025)
Learning Beyond Experience: Generalizing to Unseen State Space with Reservoir Computing
por: Norton, Declan A., et al.
Publicado: (2025)
por: Norton, Declan A., et al.
Publicado: (2025)
Optimizing the Network Topology of a Linear Reservoir Computer
por: Tangerami, Sahand, et al.
Publicado: (2025)
por: Tangerami, Sahand, et al.
Publicado: (2025)
Reservoir computing for system identification and predictive control with limited data
por: Williams, Jan P., et al.
Publicado: (2024)
por: Williams, Jan P., et al.
Publicado: (2024)
Late Fusion Neural Operators for Extrapolation Across Parameter Space in Partial Differential Equations
por: van Tegelen, Eva, et al.
Publicado: (2026)
por: van Tegelen, Eva, et al.
Publicado: (2026)
Controlling Chaotic Maps using Next-Generation Reservoir Computing
por: Kent, Robert M., et al.
Publicado: (2023)
por: Kent, Robert M., et al.
Publicado: (2023)
Time-Scale Coupling Between States and Parameters in Recurrent Neural Networks
por: Livi, Lorenzo
Publicado: (2025)
por: Livi, Lorenzo
Publicado: (2025)
Koopman Operator Identification of Model Parameter Trajectories for Temporal Domain Generalization (KOMET)
por: Hoover, Randy C., et al.
Publicado: (2026)
por: Hoover, Randy C., et al.
Publicado: (2026)
Neural Ordinary Differential Equations for Learning and Extrapolating System Dynamics Across Bifurcations
por: van Tegelen, Eva, et al.
Publicado: (2025)
por: van Tegelen, Eva, et al.
Publicado: (2025)
Reservoir Computing Generalized
por: Kubota, Tomoyuki, et al.
Publicado: (2024)
por: Kubota, Tomoyuki, et al.
Publicado: (2024)
Data-driven cold starting of good reservoirs
por: Grigoryeva, Lyudmila, et al.
Publicado: (2024)
por: Grigoryeva, Lyudmila, et al.
Publicado: (2024)
Weighted Birkhoff Averages Accelerate Data-Driven Methods
por: Bou-Sakr-El-Tayar, Maria, et al.
Publicado: (2025)
por: Bou-Sakr-El-Tayar, Maria, et al.
Publicado: (2025)
Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics
por: Brenner, Manuel, et al.
Publicado: (2022)
por: Brenner, Manuel, et al.
Publicado: (2022)
Variational Mode Decomposition-Based Nonstationary Coherent Structure Analysis for Spatiotemporal Data
por: Ohmichi, Yuya
Publicado: (2023)
por: Ohmichi, Yuya
Publicado: (2023)
Data-driven forced response analysis with min-max representations of nonlinear restoring forces
por: Saito, Akira, et al.
Publicado: (2026)
por: Saito, Akira, et al.
Publicado: (2026)
CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data Assimilation
por: Chen, Chuanqi, et al.
Publicado: (2024)
por: Chen, Chuanqi, et al.
Publicado: (2024)
The Minary Primitive of Computational Autopoiesis
por: Connor, Daniel, et al.
Publicado: (2026)
por: Connor, Daniel, et al.
Publicado: (2026)
Data-driven model order reduction for structures with piecewise linear nonlinearity using dynamic mode decomposition
por: Saito, Akira, et al.
Publicado: (2026)
por: Saito, Akira, et al.
Publicado: (2026)
Traffic Flow Reconstruction from Limited Collected Data
por: Baloul, Nail, et al.
Publicado: (2026)
por: Baloul, Nail, et al.
Publicado: (2026)
Bilinear Input Modulation for Mamba: Koopman Bilinear Forms for Memory Retention and Multiplicative Computation
por: Fujii, Hiroki, et al.
Publicado: (2026)
por: Fujii, Hiroki, et al.
Publicado: (2026)
Echoes of the Past: A Unified Perspective on Fading memory and Echo States
por: Ortega, Juan-Pablo, et al.
Publicado: (2025)
por: Ortega, Juan-Pablo, et al.
Publicado: (2025)
Controller Design for Structured State-space Models via Contraction Theory
por: Zakwan, Muhammad, et al.
Publicado: (2026)
por: Zakwan, Muhammad, et al.
Publicado: (2026)
On the Stability of a non-hyperbolic nonlinear map with non-bounded set of non-isolated fixed points with applications to Machine Learning
por: Hansen, Roberta, et al.
Publicado: (2024)
por: Hansen, Roberta, et al.
Publicado: (2024)
A Score Filter Enhanced Data Assimilation Framework for Data-Driven Dynamical Systems
por: Tang, Jingqiao, et al.
Publicado: (2026)
por: Tang, Jingqiao, et al.
Publicado: (2026)
Data-driven system identification using quadratic embeddings of nonlinear dynamics
por: Klus, Stefan, et al.
Publicado: (2025)
por: Klus, Stefan, et al.
Publicado: (2025)
Reservoir Predictive Path Integral Control for Unknown Nonlinear Dynamics
por: Inoue, Daisuke, et al.
Publicado: (2025)
por: Inoue, Daisuke, et al.
Publicado: (2025)
Principal Component Flow Map Learning of PDEs from Incomplete, Limited, and Noisy Data
por: Churchill, Victor
Publicado: (2024)
por: Churchill, Victor
Publicado: (2024)
Generic and Isometric Embeddings in Reservoir Computers
por: Hart, Allen G
Publicado: (2025)
por: Hart, Allen G
Publicado: (2025)
Conformal Disentanglement: A Neural Framework for Perspective Synthesis and Differentiation
por: Kevrekidis, George A., et al.
Publicado: (2024)
por: Kevrekidis, George A., et al.
Publicado: (2024)
On Data-Driven Koopman Representations of Nonlinear Delay Differential Equations
por: Rajkumar, Santosh Mohan, et al.
Publicado: (2026)
por: Rajkumar, Santosh Mohan, et al.
Publicado: (2026)
Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming
por: Qu, Yongquan, et al.
Publicado: (2024)
por: Qu, Yongquan, et al.
Publicado: (2024)
Dynamical System Parameter Path Optimization using Persistent Homology
por: Chumley, Max M., et al.
Publicado: (2025)
por: Chumley, Max M., et al.
Publicado: (2025)
LD-EnSF: Synergizing Latent Dynamics with Ensemble Score Filters for Fast Data Assimilation with Sparse Observations
por: Xiao, Pengpeng, et al.
Publicado: (2024)
por: Xiao, Pengpeng, et al.
Publicado: (2024)
Conditioning on PDE Parameters to Generalise Deep Learning Emulation of Stochastic and Chaotic Dynamics
por: Shokar, Ira J. S., et al.
Publicado: (2025)
por: Shokar, Ira J. S., et al.
Publicado: (2025)
On Dominant Manifolds in Reservoir Computing Networks
por: Kaplan, Noa, et al.
Publicado: (2026)
por: Kaplan, Noa, et al.
Publicado: (2026)
Versatile Reservoir Computing for Heterogeneous Complex Networks
por: Du, Yao, et al.
Publicado: (2025)
por: Du, Yao, et al.
Publicado: (2025)
Polynomial Chaos Expansions on Principal Geodesic Grassmannian Submanifolds for Surrogate Modeling and Uncertainty Quantification
por: Giovanis, Dimitris G., et al.
Publicado: (2024)
por: Giovanis, Dimitris G., et al.
Publicado: (2024)
VeMo: A Lightweight Data-Driven Approach to Model Vehicle Dynamics
por: Oddo, Girolamo, et al.
Publicado: (2025)
por: Oddo, Girolamo, et al.
Publicado: (2025)
Ejemplares similares
-
Reservoir Computing with Generalized Readout based on Generalized Synchronization
por: Ookubo, Akane, et al.
Publicado: (2024) -
A Structure-Preserving Kernel Method for Learning Hamiltonian Systems
por: Hu, Jianyu, et al.
Publicado: (2024) -
Attractor-merging Crises and Intermittency in Reservoir Computing
por: Kabayama, Tempei, et al.
Publicado: (2025) -
Learning Beyond Experience: Generalizing to Unseen State Space with Reservoir Computing
por: Norton, Declan A., et al.
Publicado: (2025) -
Optimizing the Network Topology of a Linear Reservoir Computer
por: Tangerami, Sahand, et al.
Publicado: (2025)