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12/17/2017
Generating and designing DNA with deep generative models
We propose generative neural network methods to generate DNA sequences a...
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01/23/2013
Variational Learning in Mixed-State Dynamic Graphical Models
Many real-valued stochastic time-series are locally linear (Gassian), bu...
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01/16/2013
Learning Graphical Models of Images, Videos and Their Spatial Transformations
Mixtures of Gaussians, factor analyzers (probabilistic PCA) and hidden M...
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01/10/2013
A Factorized Variational Technique for Phase Unwrapping in Markov Random Fields
Some types of medical and topographic imaging device produce images in w...
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10/19/2012
Learning Generative Models of Similarity Matrices
We describe a probabilistic (generative) view of affinity matrices along...
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10/19/2012
Extending Factor Graphs so as to Unify Directed and Undirected Graphical Models
The two most popular types of graphical model are directed models (Bayes...
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10/16/2012
Fast Exact Inference for Recursive Cardinality Models
Cardinality potentials are a generally useful class of high order potent...
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07/11/2012
Convolutional Factor Graphs as Probabilistic Models
Based on a recent development in the area of error control coding, we in...
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06/27/2012
Matrix Tile Analysis
Many tasks require finding groups of elements in a matrix of numbers, sy...
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02/14/2012
Hierarchical Affinity Propagation
Affinity propagation is an exemplar-based clustering algorithm that find...
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05/05/2011
