SPDM is a geometry-aware state-space model that projects covariance matrices onto the SPD manifold tangent space and uses geometric gating to modulate SSM parameters for improved multivariate time series forecasting.
Geo-mamba: Geometry- informed state-space learning of functional brain organization
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SPDM: Geometry-Modulated State Space Modeling with Manifold Constraints for Time Series Forecasting
SPDM is a geometry-aware state-space model that projects covariance matrices onto the SPD manifold tangent space and uses geometric gating to modulate SSM parameters for improved multivariate time series forecasting.