On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021 | 2866 | 2021 |
A symbolic approach to explaining Bayesian network classifiers A Shih, A Choi, A Darwiche 27th International Joint Conference on Artificial Intelligence, 2018 | 237 | 2018 |
Compiling Bayesian Network Classifiers into Decision Graphs A Shih, A Choi, A Darwiche Proceedings of the AAAI Conference on Artificial Intelligence 33, 7966-7974, 2019 | 79 | 2019 |
On Tractable Representations of Binary Neural Networks W Shi, A Shih, A Darwiche, A Choi 17th International Conference on Principles of Knowledge Representation and …, 2020 | 72 | 2020 |
Verifying Binarized Neural Networks by Angluin-Style Learning A Shih, A Darwiche, A Choi International Conference on Theory and Applications of Satisfiability …, 2019 | 65* | 2019 |
Formal verification of Bayesian network classifiers A Shih, A Choi, A Darwiche International Conference on Probabilistic Graphical Models, 427-438, 2018 | 40 | 2018 |
On The Critical Role Of Conventions In Adaptive Human-AI Collaboration A Shih, A Sawhney, J Kondic, S Ermon, D Sadigh International Conference on Learning Representations (ICLR), 2021 | 37 | 2021 |
Imitation Learning by Estimating Expertise of Demonstrators M Beliaev, A Shih, S Ermon, D Sadigh, R Pedarsani International Conference on Machine Learning, 2022 | 33 | 2022 |
On symbolically encoding the behavior of random forests A Choi, A Shih, A Goyanka, A Darwiche 3rd Workshop on Formal Methods for ML-Enabled Autonomous Systems (FoMLAS), 2020 | 32 | 2020 |
Compiling neural networks into tractable Boolean circuits A Choi, W Shi, A Shih, A Darwiche AAAI Spring Symposium on Verification of Neural Networks (VNN), 2019 | 31 | 2019 |
Influencing Towards Stable Multi-Agent Interactions WZ Wang, A Shih, A Xie, D Sadigh Conference on Robot Learning (CoRL), 2021 | 29 | 2021 |
Smoothing structured decomposable circuits A Shih, G Van den Broeck, P Beame, A Amarilli Advances in Neural Information Processing Systems, 11416-11426, 2019 | 25 | 2019 |
Probabilistic Circuits for Variational Inference in Discrete Graphical Models A Shih, S Ermon Advances in Neural Information Processing Systems 33, 2020 | 19 | 2020 |
PantheonRL: A MARL Library for Dynamic Training Interactions B Sarkar, A Talati, A Shih, D Sadigh 36th AAAI Conference on Artificial Intelligence (Demo Track), 2021 | 17 | 2021 |
HyperSPNs: Compact and Expressive Probabilistic Circuits A Shih, D Sadigh, S Ermon Advances in Neural Information Processing Systems 34, 2021 | 11 | 2021 |
Parallel Sampling of Diffusion Models A Shih, S Belkhale, S Ermon, D Sadigh, N Anari arXiv preprint arXiv:2305.16317, 2023 | 9 | 2023 |
Long Horizon Temperature Scaling A Shih, D Sadigh, S Ermon arXiv preprint arXiv:2302.03686, 2023 | 8 | 2023 |
Conditional Imitation Learning for Multi-Agent Games A Shih, S Ermon, D Sadigh 17th ACM/IEEE International Conference on Human-Robot Interaction, 2022 | 8 | 2022 |
Training and Inference on Any-Order Autoregressive Models the Right Way A Shih, D Sadigh, S Ermon Advances in Neural Information Processing Systems 35, 2022 | 7 | 2022 |
DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling L Zhou, A Shih, C Meng, S Ermon arXiv preprint arXiv:2311.17082, 2023 | 4 | 2023 |