no code implementations • 22 Jan 2016 • Robert Peharz, Robert Gens, Franz Pernkopf, Pedro Domingos
We discuss conditional independencies in augmented SPNs, formally establish the probabilistic interpretation of the sum-weights and give an interpretation of augmented SPNs as Bayesian networks.
no code implementations • NeurIPS 2014 • Robert Gens, Pedro M. Domingos
These sources of variation can be represented by symmetry groups, sets of composable transformations that preserve object identity.
no code implementations • 1 Jan 2011 • Robert Gens
Sum-product networks are a new deep architecture that can perform fast, exact inference on high-treewidth models.
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