Andy Shih

ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 40

Top Venues

Massachusetts Institute of Technology, Cambridge, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, USA

PHD

Publications

Shima Mahinnezhad, Shirin Mahinnezhad, Kuljeet Kaur, Andy Shih
Data Augmentation and Class Imbalance Compensation Using CTGAN to Improve Gas Detection Systems. I2MTC (2024)
Linqi Zhou, Andy Shih, Chenlin Meng, Stefano Ermon
DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling. CoRR (2023)
Andy Shih, Dorsa Sadigh, Stefano Ermon
Long Horizon Temperature Scaling. CoRR (2023)
Christopher J. Lukas, Farah B. Yahya, Kuo-Ken Huang, Jim Boley, Daniel S. Truesdell, Jacob Breiholz, Atul Wokhlu, Kyle Craig, Jonathan K. Brown, Andrew Fitting, William Moore, Andy Shih, Alice Wang, Alain Gravel, David D. Wentzloff, Benton H. Calhoun
A 2.19µW Self-Powered SoC with Integrated Multimodal Energy Harvesting, Dual-Channel up to -92dBm WRX and Energy-Aware Subsystem. ISSCC (2023)
Andy Shih, Suneel Belkhale, Stefano Ermon, Dorsa Sadigh, Nima Anari
Parallel Sampling of Diffusion Models. NeurIPS (2023)
Andy Shih, Suneel Belkhale, Stefano Ermon, Dorsa Sadigh, Nima Anari
Parallel Sampling of Diffusion Models. CoRR (2023)
Andy Shih, Dorsa Sadigh, Stefano Ermon
Long Horizon Temperature Scaling. ICML (2023)
Bidipta Sarkar, Andy Shih, Dorsa Sadigh
Diverse Conventions for Human-AI Collaboration. CoRR (2023)
Bidipta Sarkar, Andy Shih, Dorsa Sadigh
Diverse Conventions for Human-AI Collaboration. NeurIPS (2023)
Andy Shih, Stefano Ermon, Dorsa Sadigh
Conditional Imitation Learning for Multi-Agent Games. HRI (2022)
Mark Beliaev, Andy Shih, Stefano Ermon, Dorsa Sadigh, Ramtin Pedarsani
Imitation Learning by Estimating Expertise of Demonstrators. ICML (2022)
Mark Beliaev, Andy Shih, Stefano Ermon, Dorsa Sadigh, Ramtin Pedarsani
Imitation Learning by Estimating Expertise of Demonstrators. CoRR (2022)
Andy Shih, Dorsa Sadigh, Stefano Ermon
Training and Inference on Any-Order Autoregressive Models the Right Way. NeurIPS (2022)
Andy Shih, Stefano Ermon, Dorsa Sadigh
Conditional Imitation Learning for Multi-Agent Games. CoRR (2022)
Bidipta Sarkar, Aditi Talati, Andy Shih, Dorsa Sadigh
PantheonRL: A MARL Library for Dynamic Training Interactions. AAAI (2022)
Fatemeh Gholami, Andy Shih, Alexandre Robichaud, Paul-Vahe Cicek
A Study of Optimizing Lamb Wave Acoustic Mass Sensors' Performance through Adjustment of the Transduction Electrode Metallization Ratio. Sensors 22 (17) (2022)
Andy Shih, Dorsa Sadigh, Stefano Ermon
Training and Inference on Any-Order Autoregressive Models the Right Way. CoRR (2022)
Shirin Mahinnezhad, Homa Emami, Mohsen Ketabi, Ahmad Al Shboul, Najet Belkhamssa, Andy Shih, Ricardo Izquierdo
Fully Printed pH Sensor Based in Carbon Black/Polyaniline Nanocomposite. IEEE SENSORS (2021)
Andy Shih, Dorsa Sadigh, Stefano Ermon
HyperSPNs: Compact and Expressive Probabilistic Circuits. CoRR (2021)
Woodrow Z. Wang, Andy Shih, Annie Xie, Dorsa Sadigh
Influencing Towards Stable Multi-Agent Interactions. CoRR (2021)
Bidipta Sarkar, Aditi Talati, Andy Shih, Dorsa Sadigh
PantheonRL: A MARL Library for Dynamic Training Interactions. CoRR (2021)
Woodrow Zhouyuan Wang, Andy Shih, Annie Xie, Dorsa Sadigh
Influencing Towards Stable Multi-Agent Interactions. CoRL (2021)
Andy Shih, Arjun Sawhney, Jovana Kondic, Stefano Ermon, Dorsa Sadigh
On the Critical Role of Conventions in Adaptive Human-AI Collaboration. ICLR (2021)
Homa Emami, Shirin Mahinnezhad, Ahmad Al Shboul, Mohsen Ketabi, Andy Shih, Ricardo Izquierdo
Flexible Chemiresistive pH Sensor Based on Polyaniline / Carbon Nanotube Nanocomposite for IoT Applications. IEEE SENSORS (2021)
Andy Shih, Arjun Sawhney, Jovana Kondic, Stefano Ermon, Dorsa Sadigh
On the Critical Role of Conventions in Adaptive Human-AI Collaboration. CoRR (2021)
Andy Shih, Dorsa Sadigh, Stefano Ermon
HyperSPNs: Compact and Expressive Probabilistic Circuits. NeurIPS (2021)
Andy Shih, Stefano Ermon
Probabilistic Circuits for Variational Inference in Discrete Graphical Models. NeurIPS (2020)
Arthur Choi, Andy Shih, Anchal Goyanka, Adnan Darwiche
On Symbolically Encoding the Behavior of Random Forests. CoRR (2020)
Weijia Shi, Andy Shih, Adnan Darwiche, Arthur Choi
On Tractable Representations of Binary Neural Networks. KR (2020)
Andy Shih, Stefano Ermon
Probabilistic Circuits for Variational Inference in Discrete Graphical Models. CoRR (2020)
Weijia Shi, Andy Shih, Adnan Darwiche, Arthur Choi
On Tractable Representations of Binary Neural Networks. CoRR (2020)
Andy Shih, Guy Van den Broeck, Paul Beame, Antoine Amarilli
Smoothing Structured Decomposable Circuits. CoRR (2019)
Andy Shih, Guy Van den Broeck, Paul Beame, Antoine Amarilli
Smoothing Structured Decomposable Circuits. NeurIPS (2019)
Ahmad Al Shboul, Andy Shih, Mimoun Oukachmih, Ricardo Izquierdo
ppb Sensing Level Hydrogen Sulphide at Room Temperature Using Indium Oxide Gas Sensors. IEEE SENSORS (2019)
Andy Shih, Arthur Choi, Adnan Darwiche
Compiling Bayesian Network Classifiers into Decision Graphs. AAAI (2019)
Najet Belkhamssa, Mimoun Oukachmih, Mohamed Ksibi, Andy Shih, Ricardo Izquierdo
Development of polyaniline-WO3-CuCl2 gas sensor on a flexible plastic substrate for humidity-insensitive detection of hydrogen sulfide gas. IEEE SENSORS (2019)
Andy Shih, Adnan Darwiche, Arthur Choi
Verifying Binarized Neural Networks by Angluin-Style Learning. SAT (2019)
Andy Shih, Arthur Choi, Adnan Darwiche
A Symbolic Approach to Explaining Bayesian Network Classifiers. CoRR (2018)
Andy Shih, Arthur Choi, Adnan Darwiche
A Symbolic Approach to Explaining Bayesian Network Classifiers. IJCAI (2018)
Andy Shih, Arthur Choi, Adnan Darwiche
Formal Verification of Bayesian Network Classifiers. PGM (2018)

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Publication Activity (10 Years)

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Andy Shih