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Explore the experimental results of NeuPSL, a neurosymbolic framework combining probabilistic soft logic with deep learning, in this 37-minute video from the Neuro Symbolic Channel. Delve into the findings of end-to-end training and logical constraint enforcement presented by researchers Yamil Soto, Damián Furman, and Stephanie Malvicini from UNS, Argentina. Gain insights into the latest advancements at the intersection of symbolic methods and deep learning, contributing to progress in artificial intelligence and machine learning. Access accompanying slides for a comprehensive understanding of the experimental outcomes discussed in this third part of the NeuPSL series.
