| 2024 | CVPR | DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling. | Linqi Zhou, Andy Shih, Chenlin Meng, Stefano Ermon |
| 2023 | ICML | Long Horizon Temperature Scaling. | Andy Shih, Dorsa Sadigh, Stefano Ermon |
| 2022 | AAAI | PantheonRL: A MARL Library for Dynamic Training Interactions. | Bidipta Sarkar, Aditi Talati, Andy Shih, Dorsa Sadigh |
| 2022 | HRI | Conditional Imitation Learning for Multi-Agent Games. | Andy Shih, Stefano Ermon, Dorsa Sadigh |
| 2022 | ICML | Imitation Learning by Estimating Expertise of Demonstrators. | Mark Beliaev, Andy Shih, Stefano Ermon, Dorsa Sadigh, Ramtin Pedarsani |
| 2021 | CoRL | Influencing Towards Stable Multi-Agent Interactions. | Woodrow Zhouyuan Wang, Andy Shih, Annie Xie, Dorsa Sadigh |
| 2021 | ICLR | On the Critical Role of Conventions in Adaptive Human-AI Collaboration. | Andy Shih, Arjun Sawhney, Jovana Kondic, Stefano Ermon, Dorsa Sadigh |
| 2020 | KR | On Tractable Representations of Binary Neural Networks. | Weijia Shi, Andy Shih, Adnan Darwiche, Arthur Choi |
| 2019 | AAAI | Compiling Bayesian Network Classifiers into Decision Graphs. | Andy Shih, Arthur Choi, Adnan Darwiche |
| 2019 | SAT | Verifying Binarized Neural Networks by Angluin-Style Learning. | Andy Shih, Adnan Darwiche, Arthur Choi |
| 2018 | IJCAI | A Symbolic Approach to Explaining Bayesian Network Classifiers. | Andy Shih, Arthur Choi, Adnan Darwiche |