Ensemble reservoir computing's prediction uncertainty serves as a data-driven indicator of local dynamical properties in spatiotemporal chaotic systems, matching known measures like Lyapunov spectra.
Real-time computing without stable states: A new framework for neural computation based on perturbations.Neural computation, 14(11):2531–2560, 2002
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Extreme Quantum Cognition Machines combine quantum reservoir-style evolution with a dynamical attention mechanism in the Hamiltonian to produce robust nonlinear embeddings for decision making from noisy training data.
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Data-driven characterization of spatiotemporal chaos using ensemble reservoir computing
Ensemble reservoir computing's prediction uncertainty serves as a data-driven indicator of local dynamical properties in spatiotemporal chaotic systems, matching known measures like Lyapunov spectra.
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Extreme Quantum Cognition Machines for Deliberative Decision Making
Extreme Quantum Cognition Machines combine quantum reservoir-style evolution with a dynamical attention mechanism in the Hamiltonian to produce robust nonlinear embeddings for decision making from noisy training data.