Guy Van den Broeck

UCLA - Computer Science Department
Engineering VI Room 368A
404 Westwood Plaza
Los Angeles, CA 90095-1596
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guyvdb@cs.ucla.edu
guy@sigmoid.social
@guyvdb

I am a Professor of Computer Science and Samueli Fellow at UCLA, where I direct the Statistical and Relational Artificial Intelligence (StarAI) lab. My research interests are in Machine Learning (Tractable Deep Generative Models, Statistical Relational Learning, Probabilistic Programming), Knowledge Representation and Reasoning (Probabilistic Inference, Probabilistic Databases), and Artificial Intelligence in general.

Recent Publications

2025

[231], and . Zero-Variance Gradients for Variational Autoencoders, In NeurIPS 2025 Workshop on Structured Probabilistic Inference & Generative Modeling, .
[230], , and . Algorithms for Optimizing Acyclic Queries, In Arxiv, .
[229], , , , and . Tuning Random Generators: Property-Based Testing as Probabilistic Programming, In , ACM, .  [doi]
[228], , , and . Bitblasting for Constrained Decorrelation in Tractable Image Modeling, In Proceedings of the UAI Workshop on Tractable Probabilistic Modeling (TPM), .
[227], , , , and . Scaling Probabilistic Circuits via Monarch Matrices, In Proceedings of the 42th International Conference on Machine Learning (ICML), .
[226], and . TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation, In Proceedings of the 42th International Conference on Machine Learning (ICML), .
[225], , and . Plug-and-Play Context Feature Reuse for Efficient Masked Generation, In Arxiv, .
[224] and . Rethinking Probabilistic Circuit Parameter Learning, In Arxiv, .
[223], , , , and . Tractable Transformers for Flexible Conditional Generation, In Proceedings of the 42th International Conference on Machine Learning (ICML), .
[222], and . Adversarial Tokenization, In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, .  

Recent Talks