Explore the world of Probabilistic Circuits in this comprehensive 2-hour and 36-minute lecture by Antonio Vergari, presented at the Nordic Probabilistic AI School (ProbAI) 2024. Dive deep into the fundamental concepts and applications of probabilistic circuits, a powerful framework for reasoning under uncertainty in artificial intelligence. Learn how these circuits combine the expressiveness of probabilistic models with the efficiency of circuit representations. Discover practical implementations and cutting-edge research in this field. Access supplementary materials on GitHub to enhance your understanding and apply the concepts learned. This lecture, expertly edited by David Baumgartner, provides a solid foundation for researchers, students, and practitioners interested in advancing their knowledge of probabilistic AI techniques.
Overview
Syllabus
Probabilistic Circuits by Antonio Vergari
Taught by
Probabilistic AI School
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