Guy Van den Broeck
UCLA - Computer Science Department
Engineering VI Room 368A
404 Westwood Plaza
Los Angeles, CA 90095-1596
Engineering VI Room 368A
404 Westwood Plaza
Los Angeles, CA 90095-1596
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 | |
| [227] | . Scaling Probabilistic Circuits via Monarch Matrices, In Proceedings of the 42th International Conference on Machine Learning (ICML), 2025. |
| [226] | . TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation, In Proceedings of the 42th International Conference on Machine Learning (ICML), 2025. |
| [225] | . Plug-and-Play Context Feature Reuse for Efficient Masked Generation, In Arxiv, 2025. |
| [224] | . Rethinking Probabilistic Circuit Parameter Learning, In Arxiv, 2025. |
| [223] | . Tractable Transformers for Flexible Conditional Generation, In Proceedings of the 42th International Conference on Machine Learning (ICML), 2025. |
| [222] | . Adversarial Tokenization, In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, 2025.  |
| [221] | . The Limits of Tractable Marginalization, In Arxiv, 2025. |
| [220] | . Symmetry-Preserving Diffusion Models via Target Symmetrization, In ICLR'25 workshop on DeLTA - Deep Generative Model in Machine Learning, 2025. |
| [219] | . Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models, In Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS), 2025. |
| [218] | . Restructuring Tractable Probabilistic Circuits, In Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS), 2025. Oral full presentation, acceptance rate 2% |
