1

T-DPSOM: An interpretable clustering method for unsupervised learning of patient health states
Laura Manduchi, Matthias Hüser, Martin Faltys, Julia Vogt, Gunnar Rätsch, Vincent Fortuin
Cite URL
Conservative uncertainty estimation by fitting prior networks
Kamil Ciosek, Vincent Fortuin, Ryota Tomioka, Katja Hofmann, Richard Turner
Cite URL
GP-VAE: Deep probabilistic time series imputation
Vincent Fortuin, Dmitry Baranchuk, Gunnar Rätsch, Stephan Mandt
Cite URL
GP-VAE: Deep probabilistic time series imputation
SOM-VAE: Interpretable discrete representation learning on time series
Vincent Fortuin, Matthias Hüser, Francesco Locatello, Heiko Strathmann, Gunnar Rätsch
Cite URL
SOM-VAE: Interpretable discrete representation learning on time series
InspireMe: learning sequence models for stories
Vincent Fortuin, Romann Weber, Sasha Schriber, Diana Wotruba, Markus Gross
Cite URL
On the connection between neural processes and Gaussian processes with deep kernels
Tim GJ Rudner, Vincent Fortuin, Yee Whye Teh, Yarin Gal
PDF Cite
An example conference paper
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum.
Vincent Fortuin, Robert Ford
Jul 1, 2013
PDF Cite Project Slides
An example conference paper