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02/01/2022
Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement
A key assumption of most statistical machine learning methods is that th...
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04/02/2021
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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04/13/2020
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits
Probabilistic circuits (PCs) are a promising avenue for probabilistic mo...
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10/06/2019
Structured Object-Aware Physics Prediction for Video Modeling and Planning
When humans observe a physical system, they can easily locate objects, u...
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08/08/2019
Random Sum-Product Forests with Residual Links
Tractable yet expressive density estimators are a key building block of ...
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05/21/2019
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures
Bayesian networks are a central tool in machine learning and artificial ...
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01/11/2019
SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks
We introduce SPFlow, an open-source Python library providing a simple in...
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06/05/2018