Probabilistic Circuits
Offered By: Probabilistic AI School via YouTube
Course Description
Overview
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.
Syllabus
Probabilistic Circuits by Antonio Vergari
Taught by
Probabilistic AI School
Related Courses
Probabilistic Graphical Models 1: RepresentationStanford University via Coursera Probabilistic Graphical Models 3: Learning
Stanford University via Coursera Graphical Models Certification Training
Edureka Probabilistic Machine Learning
Eberhard Karls University of Tübingen via YouTube An Introduction to Artificial Intelligence
NPTEL via YouTube