Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: On Poisson Graphical Models
graphical models via univariate exponential family distributions .
Inference in Probabilistic Graphical Models by Graph Neural Networks
An Introduction to Factor Graphs
Modeling Graphs Using a Mixture of Kronecker Models
Operations for Learning with Graphical Models
Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities
JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling
Parallell interacting MCMC for learning of topologies of graphical models
Composing graphical models with neural networks for structured representations and fast inference
Graphical Models with Structured Factors, Neural Factors, and Approximation-aware Training
Transelliptical graphical models
AD 3 : alternating directions dual decomposition for MAP inference in graphical models
A stochastic approximation method for inference in probabilistic graphical models
L0 sparse graphical modeling
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling
Scene Grammars, Factor Graphs, and Belief Propagation
Bayesian modeling of dependency trees using hierarchical Pitman-Yor priors
Coupled Compound Poisson Factorization
Adversarial Message Passing For Graphical Models
Multivariate Poisson regression with covariance structure
A Coreless Electric Current Sensor With Circular Conductor Positioning Calibration
Towards Biologically Plausible Deep Learning
Imitating human playing styles in Super Mario Bros
High Dimensional Semiparametric Gaussian Copula Graphical Models
State-of-the-art in artificial neural network applications: A survey