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Recurrent Ladder Networks
[article]
2017
arXiv
pre-print
We propose a recurrent extension of the Ladder networks whose structure is motivated by the inference required in hierarchical latent variable models. We demonstrate that the recurrent Ladder is able to handle a wide variety of complex learning tasks that benefit from iterative inference and temporal modeling. The architecture shows close-to-optimal results on temporal modeling of video data, competitive results on music modeling, and improved perceptual grouping based on higher order
arXiv:1707.09219v4
fatcat:whv3oifnivgapnnf34cnheevrq