Statistical and Relational Artificial Intelligence Lab

UCLA - Computer Science Department
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

2024

[215], , , and . Where is the signal in tokenization space?, In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), .
[214], , , and . Probabilistic Circuits for Cumulative Distribution Functions, In Proceedings of the UAI Workshop on Tractable Probabilistic Modeling (TPM), .
[213] and . On the Relationship Between Monotone and Squared Probabilistic Circuits, In Proceedings of the UAI Workshop on Tractable Probabilistic Modeling (TPM), .
[212], , , and . Adaptable Logical Control for Large Language Models, In Arxiv, .
[211], , and . Bit Blasting Probabilistic Programs, In Proc. ACM Program. Lang. (PLDI), Association for Computing Machinery, .  [doi]
[210], and . Scaling Tractable Probabilistic Circuits: A Systems Perspective, In Proceedings of the 41th International Conference on Machine Learning (ICML), .
[209], , , and . Learning to Discretize Denoising Diffusion ODEs, In Arxiv, .
[208], , and . A Tractable Inference Perspective of Offline RL, In ICML 2024 Workshop ARLET, .
[207], , and . Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models, In Arxiv, .
[206], , , , and . A Circus of Circuits: Connections Between Decision Diagrams, Circuits, and Automata, In Arxiv, .

Recent Talks