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stat.ML2018
Multi-View Bayesian Correlated Component Analysis
Simon Kamronn, Andreas Trier Poulsen, Lars Kai Hansen
Correlated component analysis as proposed by Dmochowski et al. (2012) is a tool for investigating brain process similarity in the responses to multiple views of a given stimulus. C…
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…