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Sparse Gaussian process variational autoencoders
Matthew Ashman, Jonathan So, Will Tebbutt, Vincent Fortuin, Michael Pearce, Richard E Turner
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DPSOM: Deep probabilistic clustering with self-organizing maps
Laura Manduchi, Matthias Hüser, Julia Vogt, Gunnar Rätsch, Vincent Fortuin
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Meta-learning mean functions for Gaussian processes
Vincent Fortuin, Heiko Strathmann, Gunnar Rätsch
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META$^2$: Memory-efficient taxonomic classification and abundance estimation for metagenomics with deep learning
Andreas Georgiou, Vincent Fortuin, Harun Mustafa, Gunnar Rätsch
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Supervised learning on synthetic data for reverse engineering gene regulatory networks from experimental time-series
Stefan Ganscha, Vincent Fortuin, Max Horn, Eirini Arvaniti, Manfred Claassen
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