Vincent Fortuin
18 papers
· 2019–2025
· 7 conferences
· across top CS/AI conferences
Achievements
πΊοΈ
Taxonomy Completionist
(24)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π
Conference Polyglot
(7)
π
Academic Marathon
(6)
π
Cross-Pollinator
(15)
π
Renaissance Researcher
(5)
π
Keyword Champion
(2)
π₯
Mega-Team
(25)
π¬
Deep Specialist
(10)
β
The Questioner
π
Century Club
(18)
β‘
Prolific Year
(5)
π₯
Unstoppable
(7)
Conferences
ICML (5)
NIPS (4)
ICLR (3)
AISTATS (2)
UAI (2)
ACL (1)
JMLR (1)
Top co-authors
Research topics
Keywords
laplace approximation
(4)
marginal likelihood
(3)
bayesian neural network
(3)
gaussian process
(3)
bayesian inference
(3)
data augmentation
(2)
inductive bia
(2)
variational autoencoder
(2)
uncertainty estimation
(2)
uncertainty quantification
(2)
probabilistic modeling
(1)
epistemic uncertainty
(1)
neural network sparsification
(1)
contextual representation
(1)
model selection
(1)
dimensionality reduction
(1)
invariance learning
(1)
hyperparameter optimization
(1)
representation learning
(1)
pac-bayes theory
(1)
Papers
Bayesian Neural Network Priors Revisited
ICLR 2022
Repulsive Deep Ensembles are Bayesian
NIPS 2021
Scalable Gaussian Process Variational Autoencoders
AISTATS 2021
GP-VAE: Deep Probabilistic Time Series Imputation
AISTATS 2020