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 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 (Tractable Deep Generative Models, Statistical Relational Learning, Probabilistic Programming), Knowledge Representation and Reasoning (Probabilistic Inference, Probabilistic Databases), and Artificial Intelligence in general.
Recent Publications
2023 | |
| [179] | . Scaling Up Probabilistic Circuits by Latent Variable Distillation, In Proceedings of the International Conference on Learning Representations (ICLR), 2023. Oral full presentation, acceptance rate 90/4849 = 1.8% |
| [178] | . SIMPLE: A Gradient Estimator for k-subset sampling, In Proceedings of the International Conference on Learning Representations (ICLR), 2023. |
| [177] | . Mixtures of All Trees, In Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS), 2023. |
| [176] | . Semantic Strengthening of Neuro-Symbolic Learning, In Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS), 2023. |
| [175] | . Out-of-Distribution Generalization by Neural-Symbolic Joint Training, In Proceedings of the 37th AAAI Conference on Artificial Intelligence, 2023. |
| [174] | . Certifying Fairness of Probabilistic Circuits, In Proceedings of the 37th AAAI Conference on Artificial Intelligence, 2023. |
| [173] | . Bit Blasting Probabilistic Programs, In POPL 2023 Language for Inference Workshop, 2023. |
2022 | |
| [172] | . Sparse Probabilistic Circuits via Pruning and Growing, In Advances in Neural Information Processing Systems 35 (NeurIPS), 2022. Oral full presentation, acceptance rate 201/10411 = 1.9% |
| [171] | . Semantic Probabilistic Layers for Neuro-Symbolic Learning, In Advances in Neural Information Processing Systems 35 (NeurIPS), 2022. |
| [170] | . Neuro-Symbolic Entropy Regularization, In Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence (UAI), 2022. Oral full presentation, acceptance rate 36/712 = 5% |
