A hierarchical Brownian bridge SDE model with marked point process inducing points is proposed for latent manifold learning, with linear-time inference via sequential Monte Carlo.
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Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series
A hierarchical Brownian bridge SDE model with marked point process inducing points is proposed for latent manifold learning, with linear-time inference via sequential Monte Carlo.