Francisco J. R. Ruiz
4 papers · 2014–2023 · 2 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
Top co-authors
Research topics
Keywords
variational inference
(3)
few-shot learning
(1)
information bottleneck
(1)
markov chain monte carlo
(1)
gaussian process
(1)
importance sampling
(1)
mutual information
(1)
indian buffet process
(1)
maximum likelihood estimation
(1)
gibbs sampler
(1)
autoregressive model
(1)
variational autoencoder
(1)
unbiased estimator
(1)
inference network
(1)
comorbidity analysis
(1)
log-likelihood gradient
(1)
graph neural network
(1)
graph generative model
(1)
meta learning
(1)
nonparametric latent model
(1)
Papers
Fitting Autoregressive Graph Generative Models through Maximum Likelihood Estimation
JMLR 2023
Information theoretic meta learning with Gaussian processes
UAI 2021
Unbiased gradient estimation for variational auto-encoders using coupled Markov chains
UAI 2021
Bayesian Nonparametric Comorbidity Analysis of Psychiatric Disorders
JMLR 2014