1

Hodge-Aware Contrastive Learning
Alexander Möllers, Alexander Immer, Vincent Fortuin, Elvin Isufi
Cite URL
Improving Neural Additive Models with Bayesian Principles
Kouroche Bouchiat, Alexander Immer, Hugo Yèche, Gunnar Rätsch, Vincent Fortuin
Cite URL
Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization
Agustinus Kristiadi, Alexander Immer, Runa Eschenhagen, Vincent Fortuin
Cite URL
Uncertainty in Graph Contrastive Learning with Bayesian Neural Networks
Alexander Möllers, Alexander Immer, Elvin Isufi, Vincent Fortuin
Cite URL
Bayesian neural network priors revisited
Vincent Fortuin, Adrià Garriga-Alonso, Sebastian W Ober, Florian Wenzel, Gunnar Rätsch, Richard E Turner, Mark van der Wilk, Laurence Aitchison
Cite URL
Bayesian neural network priors revisited
Data augmentation in Bayesian neural networks and the cold posterior effect
Seth Nabarro, Stoil Ganev, Adrià Garriga-Alonso, Vincent Fortuin, Mark van der Wilk, Laurence Aitchison
Cite URL
Meta-learning richer priors for VAEs
Marcello Massimo Negri, Vincent Fortuin, Jan Stuehmer
Cite URL
Neural Variational Gradient Descent
Lauro Langosco di Langosco, Vincent Fortuin, Heiko Strathmann
Cite URL
On Disentanglement in Gaussian Process Variational Autoencoders
Simon Bing, Vincent Fortuin, Gunnar Rätsch
Cite URL
On Interpretable Reranking-Based Dependency Parsing Systems
Florian Schottmann, Vincent Fortuin, Edoardo Ponti, Ryan Cotterell
PDF Cite