Vincent Fortuin
Vincent Fortuin
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Deep Classifiers with Label Noise Modeling and Distance Awareness
Vincent Fortuin
,
Mark Collier
,
Florian Wenzel
,
James Allingham
,
Jeremiah Liu
,
Dustin Tran
,
Balaji Lakshminarayanan
,
Jesse Berent
,
Rodolphe Jenatton
,
Effrosyni Kokiopoulou
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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
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Sparse MoEs meet Efficient Ensembles
James Allingham
,
Florian Wenzel
,
Zelda Mariet
,
Basil Mustafa
,
Joan Puigcerver
,
Neil Houlsby
,
Ghassen Jerfel
,
Vincent Fortuin
,
Balaji Lakshminarayanan
,
Jasper Snoek
,
Dustin Tran
,
Carlos Riquelme Ruiz
,
Rodolphe Jenatton
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BNNpriors: A library for Bayesian neural network inference with different prior distributions
Vincent Fortuin
,
Adrià Garriga-Alonso
,
Mark van der Wilk
,
Laurence Aitchison
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MGP-AttTCN: An Interpretable Machine Learning Model for the Prediction of Sepsis
Margherita Rosnati
,
Vincent Fortuin
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Code
Mixture-of-Experts Variational Autoencoder for clustering and generating from similarity-based representations
Andreas Kopf
,
Vincent Fortuin
,
Vignesh Ram Somnath
,
Manfred Claassen
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Sparse Gaussian Processes on Discrete Domains
Vincent Fortuin
,
Gideon Dresdner
,
Heiko Strathmann
,
Gunnar Rätsch
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