State-Space Model Of An Electro-Mechanical-Acoustic Contactless Energy Transfer System Based On Multiphysics Networks Model includes all the multiphysical power conversion without separating stages ...

Selected State Space Model Form and Preliminary Estimates After the autoregressive order selection process has determined the number of lags to consider, the canonical correlation analysis phase ...

This article considers a combination of the linear Gaussian state space model and the stochastic volatility model. The focus is on the simultaneous estimation of parameters related to the stochastic ...

Stanford researchers behind H3 on state space models and what make them special, what products can be built with long-context language models, and hints of future (unpublished) research.

Here’s what I got: “Oscillatory State-Space Models are a new way of handling sequential data, inspired by how things like springs or neurons oscillate naturally.

LinOSS combines biological inspiration with state-space modeling, delivering exceptional performance on long sequences through stable, time-reversible dynamics.