Statistical and Relational Artificial Intelligence Lab
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
The Statistical and Relational Artificial Intelligence (StarAI) lab is directed by Prof. Guy Van den Broeck. The StarAI lab performs research on 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
2026 | |
| [261] | . Learning Deep Generative Models under Hard Linear Equality Constraints, In Proceedings of the 20th International Conference on Neurosymbolic Learning and Reasoning (NeSy), Proceedings of Machine Learning Research, volume 284, 2026. |
| [260] | . Interpretable Causal Discovery via Causal-Effect Constraints, In Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence (UAI), 2026. |
| [259] | . Mitigating Bias in Locally Constrained Decoding via Tractable Proposals, In Proceedings of the 43rd International Conference on Machine Learning (ICML), 2026. |
| [258] | . ProbMoE: Differentiable Probabilistic Routing for Mixture-of-Experts, In Proceedings of the 43rd International Conference on Machine Learning (ICML), 2026. |
| [257] | . The Pitfalls of KV Cache Compression, In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026. |
| [256] | . A canonical generalization of OBDD, In Proceedings of the 29th International Conference on Theory and Applications of Satisfiability Testing (SAT), 2026. |
| [255] | . Breaking the Factorization Barrier in Diffusion Language Models, In Proceedings of the 43rd International Conference on Machine Learning (ICML), 2026. |
| [254] | . Tractable Constrained Generation with LL(1) Grammars, In Proceedings of the UAI Workshop on Tractable Probabilistic Modeling (TPM), 2026. |
| [253] | . The Pitfalls of Maximum Likelihood Training of TPMs for Controllable Language Generation, In Proceedings of the UAI Workshop on Tractable Probabilistic Modeling (TPM), 2026. |
| [252] | . Entropy-Guided LLM Decoding via Probabilistic Circuits, In Proceedings of the UAI Workshop on Tractable Probabilistic Modeling (TPM), 2026. |
