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Andy Shih
Andy Shih
Verified email at cs.stanford.edu - Homepage
Title
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Cited by
Year
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
25792021
A symbolic approach to explaining Bayesian network classifiers
A Shih, A Choi, A Darwiche
27th International Joint Conference on Artificial Intelligence, 2018
2292018
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
772019
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
712020
Verifying Binarized Neural Networks by Angluin-Style Learning
A Shih, A Darwiche, A Choi
International Conference on Theory and Applications of Satisfiability …, 2019
63*2019
Formal verification of Bayesian network classifiers
A Shih, A Choi, A Darwiche
International Conference on Probabilistic Graphical Models, 427-438, 2018
402018
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
342021
Imitation Learning by Estimating Expertise of Demonstrators
M Beliaev, A Shih, S Ermon, D Sadigh, R Pedarsani
International Conference on Machine Learning, 2022
322022
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
322020
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
302019
Influencing Towards Stable Multi-Agent Interactions
WZ Wang, A Shih, A Xie, D Sadigh
Conference on Robot Learning (CoRL), 2021
272021
Smoothing structured decomposable circuits
A Shih, G Van den Broeck, P Beame, A Amarilli
Advances in Neural Information Processing Systems, 11416-11426, 2019
232019
Probabilistic Circuits for Variational Inference in Discrete Graphical Models
A Shih, S Ermon
Advances in Neural Information Processing Systems 33, 2020
192020
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
152021
HyperSPNs: Compact and Expressive Probabilistic Circuits
A Shih, D Sadigh, S Ermon
Advances in Neural Information Processing Systems 34, 2021
122021
Parallel Sampling of Diffusion Models
A Shih, S Belkhale, S Ermon, D Sadigh, N Anari
arXiv preprint arXiv:2305.16317, 2023
92023
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
82022
Conditional Imitation Learning for Multi-Agent Games
A Shih, S Ermon, D Sadigh
17th ACM/IEEE International Conference on Human-Robot Interaction, 2022
72022
Long Horizon Temperature Scaling
A Shih, D Sadigh, S Ermon
arXiv preprint arXiv:2302.03686, 2023
62023
DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling
L Zhou, A Shih, C Meng, S Ermon
arXiv preprint arXiv:2311.17082, 2023
42023
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