Andy Shih

Orcid: 0000-0002-5770-5541

According to our database1, Andy Shih authored at least 26 papers between 2018 and 2023.

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Bibliography

2023
DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling.
CoRR, 2023

Parallel Sampling of Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diverse Conventions for Human-AI Collaboration.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A 2.19µW Self-Powered SoC with Integrated Multimodal Energy Harvesting, Dual-Channel up to -92dBm WRX and Energy-Aware Subsystem.
Proceedings of the IEEE International Solid- State Circuits Conference, 2023

Long Horizon Temperature Scaling.
Proceedings of the International Conference on Machine Learning, 2023

2022
A Study of Optimizing Lamb Wave Acoustic Mass Sensors' Performance through Adjustment of the Transduction Electrode Metallization Ratio.
Sensors, 2022

Training and Inference on Any-Order Autoregressive Models the Right Way.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Imitation Learning by Estimating Expertise of Demonstrators.
Proceedings of the International Conference on Machine Learning, 2022

Conditional Imitation Learning for Multi-Agent Games.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

PantheonRL: A MARL Library for Dynamic Training Interactions.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
HyperSPNs: Compact and Expressive Probabilistic Circuits.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fully Printed pH Sensor Based in Carbon Black/Polyaniline Nanocomposite.
Proceedings of the 2021 IEEE Sensors, Sydney, Australia, October 31 - Nov. 3, 2021, 2021

Flexible Chemiresistive pH Sensor Based on Polyaniline / Carbon Nanotube Nanocomposite for IoT Applications.
Proceedings of the 2021 IEEE Sensors, Sydney, Australia, October 31 - Nov. 3, 2021, 2021

On the Critical Role of Conventions in Adaptive Human-AI Collaboration.
Proceedings of the 9th International Conference on Learning Representations, 2021

Influencing Towards Stable Multi-Agent Interactions.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
On Symbolically Encoding the Behavior of Random Forests.
CoRR, 2020

Probabilistic Circuits for Variational Inference in Discrete Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On Tractable Representations of Binary Neural Networks.
Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, 2020

2019
Verifying Binarized Neural Networks by Angluin-Style Learning.
Proceedings of the Theory and Applications of Satisfiability Testing - SAT 2019, 2019

Smoothing Structured Decomposable Circuits.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

ppb Sensing Level Hydrogen Sulphide at Room Temperature Using Indium Oxide Gas Sensors.
Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019

Development of polyaniline-WO3-CuCl2 gas sensor on a flexible plastic substrate for humidity-insensitive detection of hydrogen sulfide gas.
Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019

Compiling Bayesian Network Classifiers into Decision Graphs.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Flexible and solution-processed organic thin film transistors for high voltage applications.
PhD thesis, 2018

Formal Verification of Bayesian Network Classifiers.
Proceedings of the International Conference on Probabilistic Graphical Models, 2018

A Symbolic Approach to Explaining Bayesian Network Classifiers.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018


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