Vincent Fortuin
Vincent Fortuin
PhD student, ETH Zürich
Verified email at inf.ethz.ch - Homepage
TitleCited byYear
SOM-VAE: Interpretable Discrete Representation Learning on Time Series
V Fortuin, M Hüser, F Locatello, H Strathmann, G Rätsch
International Conference on Learning Representations, 2018
72018
InspireMe: Learning Sequence Models for Stories
V Fortuin, RM Weber, S Schriber, D Wotruba, MH Gross
The Thirtieth AAAI Conference on Innovative Applications of Artificial …, 2018
32018
Scalable Gaussian Processes on Discrete Domains
V Fortuin, G Dresdner, H Strathmann, G Rätsch
arXiv preprint arXiv:1810.10368, 2018
22018
Deep Mean Functions for Meta-Learning in Gaussian Processes
V Fortuin, G Rätsch
arXiv preprint arXiv:1901.08098, 2019
12019
On the Connection between Neural Processes and Gaussian Processes with Deep Kernels
TGJ Rudner, V Fortuin, YW Teh, Y Gal
Bayesian Deep Learning workshop at NeurIPS 2018, 2018
12018
Supervised learning on synthetic data for reverse engineering gene regulatory networks from experimental time-series
S Ganscha, V Fortuin, M Horn, E Arvaniti, M Claassen
bioRxiv, 356477, 2018
12018
Multivariate Time Series Imputation with Variational Autoencoders
V Fortuin, G Rätsch, S Mandt
arXiv preprint arXiv:1907.04155, 2019
2019
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Articles 1–7