Vincent Fortuin
Vincent Fortuin
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Priors in Bayesian Deep Learning: A Review
We provide a comprehensive review of the recent advances regarding the choice of priors for Bayesian neural networks, variational autoencoders, and (deep) Gaussian processes.
Vincent Fortuin
PDF
BNNpriors: A library for Bayesian neural network inference with different prior distributions
Vincent Fortuin
,
Adrià Garriga-Alonso
,
Mark van der Wilk
,
Laurence Aitchison
PDF
Code
MGP-AttTCN: An Interpretable Machine Learning Model for the Prediction of Sepsis
Margherita Rosnati
,
Vincent Fortuin
PDF
Code
Mixture-of-Experts Variational Autoencoder for clustering and generating from similarity-based representations
Andreas Kopf
,
Vincent Fortuin
,
Vignesh Ram Somnath
,
Manfred Claassen
PDF
Scalable Gaussian Processes on Discrete Domains
Vincent Fortuin
,
Gideon Dresdner
,
Heiko Strathmann
,
Gunnar Rätsch
PDF
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