| Describe, explain, plan and select: Interactive planning with large language models enables open-world multi-task agents Z Wang, S Cai, A Liu, X Ma, Y Liang arXiv preprint arXiv:2302.01560, 2023 | 41 | 2023 |
| A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference A Vergari, YJ Choi, A Liu, S Teso, G Van den Broeck Advances in Neural Information Processing Systems 34, 2021 | 36* | 2021 |
| Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search A Liu, J Chen, M Yu, Y Zhai, X Zhou, J Liu International Conference on Learning Representations (ICLR), 2020 | 25 | 2020 |
| Balance gate controlled deep neural network A Liu, Y Laili Neurocomputing 320, 183-194, 2018 | 20 | 2018 |
| Tractable regularization of probabilistic circuits A Liu, G Van den Broeck Advances in Neural Information Processing Systems 34, 3558-3570, 2021 | 15 | 2021 |
| Lossless compression with probabilistic circuits A Liu, S Mandt, GV Broeck arXiv preprint arXiv:2111.11632, 2021 | 12 | 2021 |
| Sparse probabilistic circuits via pruning and growing M Dang, A Liu, G Van den Broeck Advances in Neural Information Processing Systems 35, 28374-28385, 2022 | 7 | 2022 |
| Scaling up probabilistic circuits by latent variable distillation A Liu, H Zhang, GV Broeck arXiv preprint arXiv:2210.04398, 2022 | 7 | 2022 |
| Open-world multi-task control through goal-aware representation learning and adaptive horizon prediction S Cai, Z Wang, X Ma, A Liu, Y Liang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| On effective parallelization of monte carlo tree search A Liu, Y Liang, J Liu, GV Broeck, J Chen arXiv preprint arXiv:2006.08785, 2020 | 6 | 2020 |
| Efficient meta reinforcement learning for preference-based fast adaptation Z Ren, A Liu, Y Liang, J Peng, J Ma Advances in Neural Information Processing Systems 35, 15502-15515, 2022 | 3 | 2022 |
| Tractable and expressive generative models of genetic variation data M Dang, A Liu, X Wei, S Sankararaman, G Van den Broeck bioRxiv, 2023.05. 16.541036, 2023 | 2 | 2023 |
| Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration A Liu, Y Liang, G Van den Broeck International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2020 | 2 | 2020 |
| Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits X Liu, A Liu, G Van den Broeck, Y Liang International Conference on Machine Learning, 21825-21838, 2023 | | 2023 |
| Out-of-distribution generalization by neural-symbolic joint training A Liu, H Xu, G Van den Broeck, Y Liang Proceedings of the AAAI Conference on Artificial Intelligence 37 (10), 12252 …, 2023 | | 2023 |
Guy Van den BroeckAssociate Professor and Samueli Fellow, UCLAVerified email at cs.ucla.edu
