Botond Cseke
8 papers · 2009–2021 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (19) 🌍 Conference Polyglot · Bronze
🏆
Keyword Champion
(2)
🧭
Keyword Pioneer
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(7)
Deep Learning
(6)
Models
(6)
Artificial Intelligence
(5)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Bayesian & Probabilistic · Machine Learning
(4)
Learning Types · Machine Learning
(3)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Core AI
(1)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Research
(1)
Science
(1)
Keywords
variational inference
(4)
expectation propagation
(4)
laplace approximation
(2)
state space model
(2)
bayesian inference
(2)
latent gaussian model
(2)
posterior marginal
(2)
adversarial training
(1)
source localization
(1)
approximate inference
(1)
kalman filter
(1)
gaussian-markov models
(1)
magnetoencephalography
(1)
bayesian source localization
(1)
gaussian process
(1)
posterior approximation
(1)
sequence prediction
(1)
kalman filtering
(1)
meg data
(1)
multivariate laplace prior
(1)
Papers
Latent Matters: Learning Deep State-Space Models
NeurIPS 2021
Continual Learning with Bayesian Neural Networks for Non-Stationary Data
ICLR 2020
Learning Hierarchical Priors in VAEs
NeurIPS 2019
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
NeurIPS 2016
Approximate inference in latent Gaussian-Markov models from continuous time observations
NeurIPS 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
NeurIPS 2009