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models and what make them special, what products can be built with long-context language models, and hints of future (unpublished) research.

A solution to multivariate state-space modeling, forecasting, and smoothing is discussed. We allow for the possibilities of nonnormal errors and nonlinear functionals in the state equation, the ...

The constraints or Bayesian smoothness priors are expressed in state space model form. Trading day factors are also incorporated in the model. A Kalman predictor yields the likelihood for the unknown ...

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.

Relation of ARMA and State Space Forms Every state space model has an ARMA representation, and conversely every ARMA model has a state space representation. This section discusses this equivalence.

In this article, author Albert Lie explains why transformers, the architecture of most AI models, struggle with hallucinations and how State Space Models (SSMs) offer a solution.