
Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation
We present ObSuRF, a method which turns a single image of a scene into a...
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Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits
Probabilistic circuits (PCs) are a promising avenue for probabilistic mo...
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Structured ObjectAware Physics Prediction for Video Modeling and Planning
When humans observe a physical system, they can easily locate objects, u...
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Random SumProduct Forests with Residual Links
Tractable yet expressive density estimators are a key building block of ...
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Conditional SumProduct Networks: Imposing Structure on Deep Probabilistic Architectures
Bayesian networks are a central tool in machine learning and artificial ...
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SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using SumProduct Networks
We introduce SPFlow, an opensource Python library providing a simple in...
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Probabilistic Deep Learning using Random SumProduct Networks
Probabilistic deep learning currently receives an increased interest, as...
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Karl Stelzner
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