156 citations · 404 across the 8 of their papers we have counts for
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stat.ML2017★ 116 cited
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning
Marco Fraccaro, Simon Kamronn, Ulrich Paquet +1
This paper takes a step towards temporal reasoning in a dynamically changing video, not in the pixel space that constitutes its frames, but in a latent space that describes the non…
stat.ML2017★ 11 cited
Semi-Supervised Generation with Cluster-aware Generative Models
Lars Maaløe, Marco Fraccaro, Ole Winther
Deep generative models trained with large amounts of unlabelled data have proven to be powerful within the domain of unsupervised learning. Many real life data sets contain a small…