most citedMonte Carlo Filtering Objectives: A New Family of Variational Objectives to Learn Generative Model and Neural Adaptive Proposal for Time Series

2 citations · 2 across the 1 of their papers we have counts for

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cs.LG2021★ 2 cited

Monte Carlo Filtering Objectives: A New Family of Variational Objectives to Learn Generative Model and Neural Adaptive Proposal for Time Series

Shuangshuang Chen, Sihao Ding, Yiannis Karayiannidis +1

Learning generative models and inferring latent trajectories have shown to be challenging for time series due to the intractable marginal likelihoods of flexible generative models.…