Cover Image

Chaotic attractor reconstruction using small reservoirs -- the influence of topology

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Jaurigue, Lina
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Emerging Technologies Mathematical Physics Chaotic Dynamics Computational Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Optical next generation reservoir computing
by: Wang, Hao, et al.
Published: (2024)

Edge-of-chaos enhanced quantum-inspired algorithm for combinatorial optimization
by: Goto, Hayato, et al.
Published: (2025)

Accurate modeling of continuous-time SAT solvers in SPICE
by: Pershin, Yuriy V., et al.
Published: (2024)

Fully parallel implementation of digital memcomputing on FPGA
by: Nguyen, Dyk Chung, et al.
Published: (2024)

Acceleration of digital memcomputing by jumps
by: Pershin, Yuriy V.
Published: (2024)

On the solvable-unsolvable transition due to noise-induced chaos in digital memcomputing
by: Nguyen, Dyk Chung, et al.
Published: (2025)

Attractor reconstruction with reservoir computers: The effect of the reservoir's conditional Lyapunov exponents on faithful attractor reconstruction
by: Hart, Joseph D.
Published: (2023)

Scientific Machine Learning of Chaotic Systems Discovers Governing Equations for Neural Populations
by: Chesebro, Anthony G., et al.
Published: (2025)

Chaotic resetting: A resetting strategy for deterministic chaotic systems
by: Cantisán, Julia, et al.
Published: (2026)

Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems
by: Ramachandruni, Vasista, et al.
Published: (2025)

Extracting Equations of Motion from Superconducting Circuits
by: Pratt, Christian Z., et al.
Published: (2023)

Classical and Quantum Physical Reservoir Computing for Onboard Artificial Intelligence Systems: A Perspective
by: Abbas, A. H., et al.
Published: (2024)

Chaotic dynamics of a continuous and discrete generalized Ziegler pendulum
by: Disca, Stefano, et al.
Published: (2025)

Integrable, Mixed, and Chaotic Dynamics in a Single All-to-All Ising Spin Model
by: Amaro-Alcalá, David, et al.
Published: (2026)

Storage and selection of multiple chaotic attractors in minimal reservoir computers
by: Martinuzzi, Francesco, et al.
Published: (2026)

Chaotic Kramers' Law: Hasselmann's Program and AMOC Tipping
by: Deser, Jakob, et al.
Published: (2025)

Learning Quantum Data Distribution via Chaotic Quantum Diffusion Model
by: Tran, Quoc Hoan, et al.
Published: (2026)

Decoding fluid chaos: The arithmetic attractor of decaying turbulence
by: Migdal, Alexander
Published: (2026)

On the Performance of Linear Adaptive Filters driven by the Ergodic Chaotic Logistic Map
by: Mueller, Andreas
Published: (2025)

Optimal training of finitely-sampled quantum reservoir computers for forecasting of chaotic dynamics
by: Ahmed, Osama, et al.
Published: (2024)

Robust quantum reservoir computers for forecasting chaotic dynamics: generalized synchronization and stability
by: Ahmed, Osama, et al.
Published: (2025)

Self-consistent autocorrelation of a disordered Kuramoto model in the asynchronous state
by: Kati, Yagmur, et al.
Published: (2024)

On a hyperbolic Duffing oscillator with linear damping and periodic forcing
by: Dikandé, Alain M.
Published: (2025)

Prediction performance of random reservoirs with different topology for nonlinear dynamical systems with different number of degrees of freedom
by: Rathor, Shailendra K., et al.
Published: (2025)

Effects of inertia on the asynchronous state of a disordered Kuramoto model
by: Kati, Yagmur, et al.
Published: (2025)

Chaotic Roots of the Modular Multiplication Dynamical System in Shor's Algorithm
by: Patoary, Abu Musa, et al.
Published: (2023)

Suppressing parametric resonance of a Hyperloop vehicle using a parametric force
by: Paul, Jithu, et al.
Published: (2024)

The discrete direct deconvolution model in the large eddy simulation of turbulence
by: Chang, Ning, et al.
Published: (2024)

Predicting unobserved climate time series data at distant areas via spatial correlation using reservoir computing
by: Koyama, Shihori, et al.
Published: (2024)

Phase space geometry of a Four-wings chaotic attractor
by: Patra, Tanmayee, 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)

Deconstructing Recurrence, Attention, and Gating: Investigating the transferability of Transformers and Gated Recurrent Neural Networks in forecasting of dynamical systems
by: Heidenreich, Hunter S., et al.
Published: (2024)

Zero-shot forecasting of chaotic systems
by: Zhang, Yuanzhao, et al.
Published: (2024)

Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learning
by: Zhang, Yuanzhao, et al.
Published: (2025)

Generative learning for nonlinear dynamics
by: Gilpin, William
Published: (2023)

Learning finite symmetry groups of dynamical systems via equivariance detection
by: Calvo-Barlés, Pablo, et al.
Published: (2025)

GEN2: A Generative Prediction-Correction Framework for Long-time Emulations of Spatially-Resolved Climate Extremes
by: Wang, Mengze, et al.
Published: (2025)

Tailored Forecasting from Short Time Series via Meta-learning
by: Norton, Declan A., et al.
Published: (2025)

Beyond Static Models: Hypernetworks for Adaptive and Generalizable Forecasting in Complex Parametric Dynamical Systems
by: Vlachas, Pantelis R., et al.
Published: (2025)

Chaos, Ito-Stratonovich dilemma, and topological supersymmetry
by: Ovchinnikov, Igor V.
Published: (2025)