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3 papers
Soft Learning Probabilistic Circuits
Soroush Ghandi, Benjamin Quost, Cassio de Campos
Probabilistic Circuits (PCs) are prominent tractable probabilistic models, allowing for a range of exact inferences. This paper focuses on the main algorithm for training PCs, Lear…
Probabilistic Circuits with Constraints via Convex Optimization
Soroush Ghandi, Benjamin Quost, Cassio de Campos
This work addresses integrating probabilistic propositional logic constraints into the distribution encoded by a probabilistic circuit (PC). PCs are a class of tractable models tha…
Toward Robust Uncertainty Estimation with Random Activation Functions
Yana Stoyanova, Soroush Ghandi, Maryam Tavakol
Deep neural networks are in the limelight of machine learning with their excellent performance in many data-driven applications. However, they can lead to inaccurate predictions wh…