A hierarchical probabilistic model with parallelized Gibbs sampling segments moving matter across random-dot, camouflaged-texture, and naturalistic-video domains, matching supervised baselines and human perceptual judgments.
Probabilistic programming with programmable variational inference.Proceedings of the ACM on Program- ming Languages, 8(PLDI):2123–2147
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GenMatter: Perceiving Physical Objects with Generative Matter Models
A hierarchical probabilistic model with parallelized Gibbs sampling segments moving matter across random-dot, camouflaged-texture, and naturalistic-video domains, matching supervised baselines and human perceptual judgments.