Search Results for author: Robert Gens

Found 3 papers, 0 papers with code

On the Latent Variable Interpretation in Sum-Product Networks

no code implementations22 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.

Deep Symmetry 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.

Object Recognition Translation

Discriminative Learning of Sum-Product Networks

no code implementations1 Jan 2011 Robert Gens

Sum-product networks are a new deep architecture that can perform fast, exact inference on high-treewidth models.

Image Classification

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