Shih, Andy

17 publications

CVPR 2024 DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling Linqi Zhou, Andy Shih, Chenlin Meng, Stefano Ermon

NeurIPS 2023 Diverse Conventions for Human-AI Collaboration Bidipta Sarkar, Andy Shih, Dorsa Sadigh

ICML 2023 Long Horizon Temperature Scaling Andy Shih, Dorsa Sadigh, Stefano Ermon

NeurIPS 2023 Parallel Sampling of Diffusion Models Andy Shih, Suneel Belkhale, Stefano Ermon, Dorsa Sadigh, Nima Anari

ICMLW 2023 Parallel Sampling of Diffusion Models Andy Shih, Suneel Belkhale, Stefano Ermon, Dorsa Sadigh, Nima Anari

ICMLW 2023 Parallel Sampling of Diffusion Models Andy Shih, Suneel Belkhale, Stefano Ermon, Dorsa Sadigh, Nima Anari

ICML 2022 Imitation Learning by Estimating Expertise of Demonstrators Mark Beliaev, Andy Shih, Stefano Ermon, Dorsa Sadigh, Ramtin Pedarsani

AAAI 2022 PantheonRL: A MARL Library for Dynamic Training Interactions Bidipta Sarkar, Aditi Talati, Andy Shih, Dorsa Sadigh

NeurIPS 2022 Training and Inference on Any-Order Autoregressive Models the Right Way Andy Shih, Dorsa Sadigh, Stefano Ermon

NeurIPS 2021 HyperSPNs: Compact and Expressive Probabilistic Circuits Andy Shih, Dorsa Sadigh, Stefano Ermon

CoRL 2021 Influencing Towards Stable Multi-Agent Interactions Woodrow Zhouyuan Wang, Andy Shih, Annie Xie, Dorsa Sadigh

ICLR 2021 On the Critical Role of Conventions in Adaptive Human-AI Collaboration Andy Shih, Arjun Sawhney, Jovana Kondic, Stefano Ermon, Dorsa Sadigh

NeurIPS 2020 Probabilistic Circuits for Variational Inference in Discrete Graphical Models Andy Shih, Stefano Ermon

AAAI 2019 Compiling Bayesian Network Classifiers into Decision Graphs Andy Shih, Arthur Choi, Adnan Darwiche

NeurIPS 2019 Smoothing Structured Decomposable Circuits Andy Shih, Guy Van den Broeck, Paul Beame, Antoine Amarilli

IJCAI 2018 A Symbolic Approach to Explaining Bayesian Network Classifiers Andy Shih, Arthur Choi, Adnan Darwiche

PGM 2018 Formal Verification of Bayesian Network Classifiers Andy Shih, Arthur Choi, Adnan Darwiche