Deep Rao-Blackwellised Particle Filters for Time Series Forecasting
–Neural Information Processing Systems
However, most systems of practical interest are non-linear, requiring more complex models. Many approximate inference methods have been developed for non-linear dynamical systems: Deterministic methods approximate the filtering and smoothing distributions e.g. by using a Taylor series
Neural Information Processing Systems
Aug-15-2025, 20:20:10 GMT
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- Research Report (0.46)