1.4k citations · 2.1k across the 21 of their papers we have counts for
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cs.LG2018★ 12 cited
Competitive Training of Mixtures of Independent Deep Generative Models
Francesco Locatello, Damien Vincent, Ilya Tolstikhin +3
A common assumption in causal modeling posits that the data is generated by a set of independent mechanisms, and algorithms should aim to recover this structure. Standard unsupervi…
stat.ML2018★ 18 cited
On the Latent Space of Wasserstein Auto-Encoders
Paul K. Rubenstein, Bernhard Schoelkopf, Ilya Tolstikhin
We study the role of latent space dimensionality in Wasserstein auto-encoders (WAEs). Through experimentation on synthetic and real datasets, we argue that random encoders should b…