A Symbolic Approach to Explaining Bayesian Network Classifiers. - Andy Shih; Arthur Choi; Adnan Darwiche (IJCAI, 2018)

Formal Verification of Bayesian Network Classifiers. - Andy Shih; Arthur Choi; Adnan Darwiche (PGM, 2018)

Flexible and solution-processed organic thin film transistors for high voltage applications. - Andy Shih (2018)

Compiling Bayesian Network Classifiers into Decision Graphs. - Andy Shih; Arthur Choi; Adnan Darwiche (AAAI, 2019)

Development of polyaniline-WO3-CuCl2 gas sensor on a flexible plastic substrate for humidity-insensitive detection of hydrogen sulfide gas. - Najet Belkhamssa; Mimoun Oukachmih; Mohamed Ksibi; Andy Shih; Ricardo Izquierdo (IEEE SENSORS, 2019)

ppb Sensing Level Hydrogen Sulphide at Room Temperature Using Indium Oxide Gas Sensors. - Ahmad Al Shboul; Andy Shih; Mimoun Oukachmih; Ricardo Izquierdo (IEEE SENSORS, 2019)

Smoothing Structured Decomposable Circuits. - Andy Shih; Guy Van den Broeck; Paul Beame; Antoine Amarilli (NeurIPS, 2019)

Verifying Binarized Neural Networks by Angluin-Style Learning. - Andy Shih; Adnan Darwiche; Arthur Choi (SAT, 2019)

On Tractable Representations of Binary Neural Networks. - Weijia Shi; Andy Shih; Adnan Darwiche; Arthur Choi (KR, 2020)

Probabilistic Circuits for Variational Inference in Discrete Graphical Models. - Andy Shih; Stefano Ermon (NeurIPS, 2020)

On Symbolically Encoding the Behavior of Random Forests. - Arthur Choi; Andy Shih; Anchal Goyanka; Adnan Darwiche (CoRR, 2020)

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

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

Flexible Chemiresistive pH Sensor Based on Polyaniline / Carbon Nanotube Nanocomposite for IoT Applications. - Homa Emami; Shirin Mahinnezhad; Ahmad Al Shboul; Mohsen Ketabi; Andy Shih; Ricardo Izquierdo (IEEE SENSORS, 2021)

Fully Printed pH Sensor Based in Carbon Black/Polyaniline Nanocomposite. - Shirin Mahinnezhad; Homa Emami; Mohsen Ketabi; Ahmad Al Shboul; Najet Belkhamssa; Andy Shih; Ricardo Izquierdo (IEEE SENSORS, 2021)

HyperSPNs: Compact and Expressive Probabilistic Circuits. - Andy Shih; Dorsa Sadigh; Stefano Ermon (NeurIPS, 2021)

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

Conditional Imitation Learning for Multi-Agent Games. - Andy Shih; Stefano Ermon; Dorsa Sadigh (HRI, 2022)

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

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

A Study of Optimizing Lamb Wave Acoustic Mass Sensors' Performance through Adjustment of the Transduction Electrode Metallization Ratio. - Fatemeh Gholami; Andy Shih; Alexandre Robichaud; Paul-Vahe Cicek (Sensors, 2022)

Long Horizon Temperature Scaling. - Andy Shih; Dorsa Sadigh; Stefano Ermon (ICML, 2023)

A 2.19µW Self-Powered SoC with Integrated Multimodal Energy Harvesting, Dual-Channel up to -92dBm WRX and Energy-Aware Subsystem. - 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; et al. (ISSCC, 2023)

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

Parallel Sampling of Diffusion Models. - Andy Shih; Suneel Belkhale; Stefano Ermon; Dorsa Sadigh; Nima Anari (NeurIPS, 2023)

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

Data Augmentation and Class Imbalance Compensation Using CTGAN to Improve Gas Detection Systems. - Shima Mahinnezhad; Shirin Mahinnezhad; Kuljeet Kaur; Andy Shih (I2MTC, 2024)

Exploring Dielectric Resonator Antennas for Plantar Pressure Monitoring. - Azadeh Ahmadihaji; Amin Pourvali Kakhki; Ricardo Izquierdo; Andy Shih (NewCAS, 2024)

Auditing language models for hidden objectives. - Samuel Marks; Johannes Treutlein; Trenton Bricken; Jack Lindsey; Jonathan Marcus; Siddharth Mishra-Sharma; Daniel M. Ziegler; Emmanuel Ameisen; Joshua Batson; Tim Belonax; Samuel R. Bowman; Shan Carter; et al. (CoRR, 2025)