:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Manjunath, G, Ortega, Juan-Pablo, van der Merwe, Alma
Format:	Preprint
Published:	2026
Subjects:	Dynamical Systems Machine Learning
Online Access:	https://arxiv.org/abs/2605.25221
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Structure-Preserving Kernel Method for Learning Hamiltonian Systems
by: Hu, Jianyu, et al.
Published: (2024)

Reservoir Computing with Generalized Readout based on Generalized Synchronization
by: Ookubo, Akane, et al.
Published: (2024)

Attractor-merging Crises and Intermittency in Reservoir Computing
by: Kabayama, Tempei, et al.
Published: (2025)

Learning Beyond Experience: Generalizing to Unseen State Space with Reservoir Computing
by: Norton, Declan A., et al.
Published: (2025)

Optimizing the Network Topology of a Linear Reservoir Computer
by: Tangerami, Sahand, et al.
Published: (2025)

Reservoir computing for system identification and predictive control with limited data
by: Williams, Jan P., et al.
Published: (2024)

Echoes of the Past: A Unified Perspective on Fading memory and Echo States
by: Ortega, Juan-Pablo, et al.
Published: (2025)

Controlling Chaotic Maps using Next-Generation Reservoir Computing
by: Kent, Robert M., et al.
Published: (2023)

Late Fusion Neural Operators for Extrapolation Across Parameter Space in Partial Differential Equations
by: van Tegelen, Eva, et al.
Published: (2026)

Data-driven cold starting of good reservoirs
by: Grigoryeva, Lyudmila, et al.
Published: (2024)

Time-Scale Coupling Between States and Parameters in Recurrent Neural Networks
by: Livi, Lorenzo
Published: (2025)

Koopman Operator Identification of Model Parameter Trajectories for Temporal Domain Generalization (KOMET)
by: Hoover, Randy C., et al.
Published: (2026)

Neural Ordinary Differential Equations for Learning and Extrapolating System Dynamics Across Bifurcations
by: van Tegelen, Eva, et al.
Published: (2025)

Reservoir Computing Generalized
by: Kubota, Tomoyuki, et al.
Published: (2024)

On Dominant Manifolds in Reservoir Computing Networks
by: Kaplan, Noa, et al.
Published: (2026)

Weighted Birkhoff Averages Accelerate Data-Driven Methods
by: Bou-Sakr-El-Tayar, Maria, et al.
Published: (2025)

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

Reservoir Predictive Path Integral Control for Unknown Nonlinear Dynamics
by: Inoue, Daisuke, et al.
Published: (2025)

Variational Mode Decomposition-Based Nonstationary Coherent Structure Analysis for Spatiotemporal Data
by: Ohmichi, Yuya
Published: (2023)

Data-driven forced response analysis with min-max representations of nonlinear restoring forces
by: Saito, Akira, et al.
Published: (2026)

The Minary Primitive of Computational Autopoiesis
by: Connor, Daniel, et al.
Published: (2026)

On the Stability of a non-hyperbolic nonlinear map with non-bounded set of non-isolated fixed points with applications to Machine Learning
by: Hansen, Roberta, 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)

Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming
by: Qu, Yongquan, et al.
Published: (2024)

Bilinear Input Modulation for Mamba: Koopman Bilinear Forms for Memory Retention and Multiplicative Computation
by: Fujii, Hiroki, et al.
Published: (2026)

Controller Design for Structured State-space Models via Contraction Theory
by: Zakwan, Muhammad, et al.
Published: (2026)

Conditioning on PDE Parameters to Generalise Deep Learning Emulation of Stochastic and Chaotic Dynamics
by: Shokar, Ira J. S., et al.
Published: (2025)

CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data Assimilation
by: Chen, Chuanqi, et al.
Published: (2024)

A Score Filter Enhanced Data Assimilation Framework for Data-Driven Dynamical Systems
by: Tang, Jingqiao, et al.
Published: (2026)

Dynamical System Parameter Path Optimization using Persistent Homology
by: Chumley, Max M., et al.
Published: (2025)

Traffic Flow Reconstruction from Limited Collected Data
by: Baloul, Nail, et al.
Published: (2026)

Designing Chaotic Attractors: A Semi-supervised Approach
by: Kabayama, Tempei, et al.
Published: (2024)

On Data-Driven Koopman Representations of Nonlinear Delay Differential Equations
by: Rajkumar, Santosh Mohan, et al.
Published: (2026)

Data-driven system identification using quadratic embeddings of nonlinear dynamics
by: Klus, Stefan, et al.
Published: (2025)

Conformal Disentanglement: A Neural Framework for Perspective Synthesis and Differentiation
by: Kevrekidis, George A., et al.
Published: (2024)

Principal Component Flow Map Learning of PDEs from Incomplete, Limited, and Noisy Data
by: Churchill, Victor
Published: (2024)

Versatile Reservoir Computing for Heterogeneous Complex Networks
by: Du, Yao, et al.
Published: (2025)

Generic and Isometric Embeddings in Reservoir Computers
by: Hart, Allen G
Published: (2025)

LD-EnSF: Synergizing Latent Dynamics with Ensemble Score Filters for Fast Data Assimilation with Sparse Observations
by: Xiao, Pengpeng, et al.
Published: (2024)

Physics-Informed Regression: Parameter Estimation in Parameter-Linear Nonlinear Dynamic Models
by: Nielsen, Jonas Søeborg, et al.
Published: (2025)