Nonlinear dynamical systems for automatic speech recognition
PulseAugur coverage of Nonlinear dynamical systems for automatic speech recognition — every cluster mentioning Nonlinear dynamical systems for automatic speech recognition across labs, papers, and developer communities, ranked by signal.
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Fourier Neural Operators Learn Lyapunov Functions for Nonlinear Systems
Researchers have developed a method to approximate Lyapunov functions for nonlinear dynamical systems using Fourier Neural Operators (FNOs). This approach aims to overcome the challenge of finding Lyapunov functions, wh…
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New kernel method classifies nonlinear dynamical systems
Researchers have developed Dynafit, a novel kernel-based method for classifying trajectories generated by nonlinear dynamical systems. This approach learns a distance metric in a feature space that approximates the Koop…
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New Bayesian control framework integrates spike-based neural models
Researchers have developed a novel Bayesian control framework that merges spike-based dynamics with probabilistic inference for adaptive control. This framework utilizes a biologically inspired spiking neural model comb…
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New method distills nonlinear dynamics into linear state-space models
Researchers have developed a novel pipeline for learning linear state-space models from nonlinear dynamical systems. This method, termed Spectral Distillation, uses Observation Spectral Filtering (OSF) to first learn an…
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New transport filtering method improves nonlinear, non-Gaussian approximations
Researchers have developed a new likelihood-free transport filtering method that leverages couplings between state and observation variables. This approach reformulates the filtering analysis step as a minimization of t…