PVMC is a new parallel training algorithm for deep state space models that achieves 10x faster training than prior SMC methods while matching or exceeding benchmark performance for both generative and discriminative tasks.
Pydpf: A python package for differentiable particle filtering.arXiv preprint arXiv:2510.25693
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Efficient Learning of Deep State Space Models via Importance Smoothing
PVMC is a new parallel training algorithm for deep state space models that achieves 10x faster training than prior SMC methods while matching or exceeding benchmark performance for both generative and discriminative tasks.