Guy Van den Broeck

UCLA - Computer Science Department
Engineering VI Room 368A
404 Westwood Plaza
Los Angeles, CA 90095-1596
+1 (310) 206-6552
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I am an Associate Professor and Samueli Fellow at UCLA, in the Computer Science Department, where I direct the Statistical and Relational Artificial Intelligence (StarAI) lab. My research interests are in Machine Learning (Statistical Relational Learning, Tractable Learning), Knowledge Representation and Reasoning (Graphical Models, Lifted Probabilistic Inference, Knowledge Compilation), Applications of Probabilistic Reasoning and Learning (Probabilistic Programming, Probabilistic Databases), and Artificial Intelligence in general.

Recent Publications


[165], and . Strudel: A Fast and Accurate Learner of Structured-Decomposable Probabilistic Circuits, In International Journal of Approximate Reasoning, volume 140, .  [doi]


[164], , , and . A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference, In Advances in Neural Information Processing Systems 35 (NeurIPS), . Oral full presentation, acceptance rate 55/9122 = 0.6%
[163] and . Tractable Regularization of Probabilistic Circuits, In Advances in Neural Information Processing Systems 35 (NeurIPS), . Oral spotlight presentation, acceptance rate 340/9122 = 3.7%
[162], and . Lossless Compression with Probabilistic Circuits, .
[161], and . Solving Marginal MAP Exactly by Probabilistic Circuit Transformations, .
[160], , and . flip-hoisting: Exploiting Repeated Parameters in Discrete Probabilistic Programs, In International Conference on Probabilistic Programming (PROBPROG), .
[159], , and . An Introduction to Lifted Probabilistic Inference, MIT Press, .
[158], , , , and . Towards an Interpretable Latent Space in Structured Models for Video Prediction, In IJCAI 2021 Weakly Supervised Representation Learning Workshop (WSRL), .
[157], and . Probabilistic Sufficient Explanations, In Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI), .
[156], , , , and . Model Checking Finite-Horizon Markov Chains with Probabilistic Inference, In Proceedings of the 33rd International Conference on Computer-Aided Verification (CAV), .

Recent Talks