Botond Cseke
8 papers · 2009–2021 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (20) π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Conference Polyglot
(4)
π
Academic Marathon
(12)
π
Keyword Champion
(2)
π
Trend Setter
π
Conference Pioneer
Conferences
NIPS (5)
AISTATS (1)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
expectation propagation
(4)
variational inference
(3)
posterior marginal
(2)
laplace approximation
(2)
latent gaussian model
(2)
bayesian inference
(2)
state-space model
(2)
meg data
(1)
bayesian source localization
(1)
constrained optimization
(1)
magnetoencephalography
(1)
multivariate laplace prior
(1)
continuous time inference
(1)
sparsity promoting prior
(1)
adversarial training
(1)
gaussian-markov models
(1)
posterior approximation
(1)
kalman filter
(1)
neural data
(1)
sequence prediction
(1)
Papers
Latent Matters: Learning Deep State-Space Models
NIPS 2021
Continual Learning with Bayesian Neural Networks for Non-Stationary Data
ICLR 2020
Learning Hierarchical Priors in VAEs
NIPS 2019
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
NIPS 2016
Approximate inference in latent Gaussian-Markov models from continuous time observations
NIPS 2013
Approximate Marginals in Latent Gaussian Models
JMLR 2011
Improving posterior marginal approximations in latent Gaussian models
AISTATS 2010
Bayesian Source Localization with the Multivariate Laplace Prior
NIPS 2009