490 citations · 1k across the 74 of their papers we have counts for
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cs.AI2013★ 53 cited
Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs
Vikash K. Mansinghka, Tejas D. Kulkarni, Yura N. Perov +1
The idea of computer vision as the Bayesian inverse problem to computer graphics has a long history and an appealing elegance, but it has proved difficult to directly implement. In…
stat.ML2013★ 22 cited
ClusterCluster: Parallel Markov Chain Monte Carlo for Dirichlet Process Mixtures
Dan Lovell, Jonathan Malmaud, Ryan P. Adams +1
The Dirichlet process (DP) is a fundamental mathematical tool for Bayesian nonparametric modeling, and is widely used in tasks such as density estimation, natural language processi…