Vincent Fortuin
Vincent Fortuin
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Uncertainty in Graph Contrastive Learning with Bayesian Neural Networks
Alexander Möllers
,
Alexander Immer
,
Elvin Isufi
,
Vincent Fortuin
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Improving Neural Additive Models with Bayesian Principles
Kouroche Bouchiat
,
Alexander Immer
,
Hugo Yèche
,
Gunnar Rätsch
,
Vincent Fortuin
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Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization
Agustinus Kristiadi
,
Alexander Immer
,
Runa Eschenhagen
,
Vincent Fortuin
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Meta-learning richer priors for VAEs
Marcello Massimo Negri
,
Vincent Fortuin
,
Jan Stuehmer
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Neural Variational Gradient Descent
Lauro Langosco di Langosco
,
Vincent Fortuin
,
Heiko Strathmann
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On Disentanglement in Gaussian Process Variational Autoencoders
Simon Bing
,
Vincent Fortuin
,
Gunnar Rätsch
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Code
Pathologies in priors and inference for Bayesian transformers
Tristan Cinquin
,
Alexander Immer
,
Max Horn
,
Vincent Fortuin
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Quantum Bayesian Neural Networks
Noah Berner
,
Vincent Fortuin
,
Jonas Landman
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Code
A Bayesian Approach to Invariant Deep Neural Networks
Nikolaos Mourdoukoutas
,
Marco Federici
,
Georges Pantalos
,
Mark van der Wilk
,
Vincent Fortuin
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Annealed Stein Variational Gradient Descent
Francesco D'Angelo
,
Vincent Fortuin
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