Regular biography
Guy Van den Broeck is a Professor in the Department of Computer Science at the University of California, Los Angeles. His research interests include machine learning, knowledge representation and reasoning, and applications of probabilistic reasoning and learning. He is affiliated with the UCLA Samueli School of Engineering. Van den Broeck holds a PhD from KU Leuven and has received numerous awards, including the Intel Outstanding Researcher Award, NSF CAREER Award, and several Best Paper Awards at major conferences such as UAI, AAAI, and ICML. His work has also been recognized with the IJCAI 2019 Computers and Thought Award and the Alfred P. Sloan Fellow distinction.
Scholar-generated biography
Guy Van den Broeck is a Professor at UCLA, specializing in Artificial Intelligence with a focus on Probabilistic Programming, Probabilistic Circuits, and Neurosymbolic AI. His research explores the integration of symbolic and statistical reasoning in deep learning, emphasizing tractable probabilistic models. He has contributed to the development of frameworks such as probabilistic sentential decision diagrams and weighted Boolean formulas for efficient inference. His work addresses challenges in explainability, scalability, and the semantic alignment of deep learning with symbolic knowledge. Van den Broeck's publications highlight the intersection of logic programming, model counting, and probabilistic reasoning in complex domains.