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Andy Shih
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2020 – today
- 2024
- [c25]Linqi Zhou, Andy Shih, Chenlin Meng, Stefano Ermon:
DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling. CVPR 2024: 4610-4619 - [c24]Shima Mahinnezhad, Shirin Mahinnezhad, Kuljeet Kaur, Andy Shih:
Data Augmentation and Class Imbalance Compensation Using CTGAN to Improve Gas Detection Systems. I2MTC 2024: 1-6 - [c23]Azadeh Ahmadihaji, Amin Pourvali Kakhki, Ricardo Izquierdo, Andy Shih:
Exploring Dielectric Resonator Antennas for Plantar Pressure Monitoring. NewCAS 2024: 388-392 - 2023
- [c22]Andy Shih, Dorsa Sadigh, Stefano Ermon:
Long Horizon Temperature Scaling. ICML 2023: 31422-31434 - [c21]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: 238-239 - [c20]Bidipta Sarkar, Andy Shih, Dorsa Sadigh:
Diverse Conventions for Human-AI Collaboration. NeurIPS 2023 - [c19]Andy Shih, Suneel Belkhale, Stefano Ermon, Dorsa Sadigh, Nima Anari:
Parallel Sampling of Diffusion Models. NeurIPS 2023 - [i16]Andy Shih, Dorsa Sadigh, Stefano Ermon:
Long Horizon Temperature Scaling. CoRR abs/2302.03686 (2023) - [i15]Andy Shih, Suneel Belkhale, Stefano Ermon, Dorsa Sadigh, Nima Anari:
Parallel Sampling of Diffusion Models. CoRR abs/2305.16317 (2023) - [i14]Bidipta Sarkar, Andy Shih, Dorsa Sadigh:
Diverse Conventions for Human-AI Collaboration. CoRR abs/2310.15414 (2023) - [i13]Linqi Zhou, Andy Shih, Chenlin Meng, Stefano Ermon:
DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling. CoRR abs/2311.17082 (2023) - 2022
- [j1]Fatemeh Gholami, Andy Shih, Alexandre Robichaud
A Study of Optimizing Lamb Wave Acoustic Mass Sensors' Performance through Adjustment of the Transduction Electrode Metallization Ratio. Sensors 22(17): 6428 (2022) - [c18]Bidipta Sarkar
PantheonRL: A MARL Library for Dynamic Training Interactions. AAAI 2022: 13221-13223 - [c17]Andy Shih, Stefano Ermon, Dorsa Sadigh:
Conditional Imitation Learning for Multi-Agent Games. HRI 2022: 166-175 - [c16]Mark Beliaev, Andy Shih, Stefano Ermon, Dorsa Sadigh, Ramtin Pedarsani:
Imitation Learning by Estimating Expertise of Demonstrators. ICML 2022: 1732-1748 - [c15]Andy Shih, Dorsa Sadigh, Stefano Ermon:
Training and Inference on Any-Order Autoregressive Models the Right Way. NeurIPS 2022 - [i12]Andy Shih, Stefano Ermon, Dorsa Sadigh:
Conditional Imitation Learning for Multi-Agent Games. CoRR abs/2201.01448 (2022) - [i11]Mark Beliaev, Andy Shih, Stefano Ermon, Dorsa Sadigh, Ramtin Pedarsani:
Imitation Learning by Estimating Expertise of Demonstrators. CoRR abs/2202.01288 (2022) - [i10]Andy Shih, Dorsa Sadigh, Stefano Ermon:
Training and Inference on Any-Order Autoregressive Models the Right Way. CoRR abs/2205.13554 (2022) - 2021
- [c14]Woodrow Zhouyuan Wang, Andy Shih, Annie Xie, Dorsa Sadigh:
Influencing Towards Stable Multi-Agent Interactions. CoRL 2021: 1132-1143 - [c13]Andy Shih, Arjun Sawhney, Jovana Kondic, Stefano Ermon, Dorsa Sadigh:
On the Critical Role of Conventions in Adaptive Human-AI Collaboration. ICLR 2021 - [c12]Homa Emami, Shirin Mahinnezhad, Ahmad Al Shboul
Flexible Chemiresistive pH Sensor Based on Polyaniline / Carbon Nanotube Nanocomposite for IoT Applications. IEEE SENSORS 2021: 1-4 - [c11]Shirin Mahinnezhad, Homa Emami, Mohsen Ketabi, Ahmad Al Shboul
Fully Printed pH Sensor Based in Carbon Black/Polyaniline Nanocomposite. IEEE SENSORS 2021: 1-4 - [c10]Andy Shih, Dorsa Sadigh, Stefano Ermon:
HyperSPNs: Compact and Expressive Probabilistic Circuits. NeurIPS 2021: 8571-8582 - [i9]Andy Shih, Arjun Sawhney, Jovana Kondic, Stefano Ermon, Dorsa Sadigh:
On the Critical Role of Conventions in Adaptive Human-AI Collaboration. CoRR abs/2104.02871 (2021) - [i8]Woodrow Z. Wang, Andy Shih, Annie Xie, Dorsa Sadigh:
Influencing Towards Stable Multi-Agent Interactions. CoRR abs/2110.08229 (2021) - [i7]Andy Shih, Dorsa Sadigh, Stefano Ermon:
HyperSPNs: Compact and Expressive Probabilistic Circuits. CoRR abs/2112.00914 (2021) - [i6]Bidipta Sarkar, Aditi Talati, Andy Shih, Dorsa Sadigh:
PantheonRL: A MARL Library for Dynamic Training Interactions. CoRR abs/2112.07013 (2021) - 2020
- [c9]Weijia Shi, Andy Shih, Adnan Darwiche, Arthur Choi:
On Tractable Representations of Binary Neural Networks. KR 2020: 882-892 - [c8]Andy Shih, Stefano Ermon:
Probabilistic Circuits for Variational Inference in Discrete Graphical Models. NeurIPS 2020 - [i5]Weijia Shi, Andy Shih, Adnan Darwiche, Arthur Choi:
On Tractable Representations of Binary Neural Networks. CoRR abs/2004.02082 (2020) - [i4]Arthur Choi, Andy Shih, Anchal Goyanka, Adnan Darwiche:
On Symbolically Encoding the Behavior of Random Forests. CoRR abs/2007.01493 (2020) - [i3]Andy Shih, Stefano Ermon:
Probabilistic Circuits for Variational Inference in Discrete Graphical Models. CoRR abs/2010.11446 (2020)
2010 – 2019
- 2019
- [c7]Andy Shih, Arthur Choi, Adnan Darwiche:
Compiling Bayesian Network Classifiers into Decision Graphs. AAAI 2019: 7966-7974 - [c6]Najet Belkhamssa, Mimoun Oukachmih, Mohamed Ksibi
Development of polyaniline-WO3-CuCl2 gas sensor on a flexible plastic substrate for humidity-insensitive detection of hydrogen sulfide gas. IEEE SENSORS 2019: 1-4 - [c5]Ahmad Al Shboul
ppb Sensing Level Hydrogen Sulphide at Room Temperature Using Indium Oxide Gas Sensors. IEEE SENSORS 2019: 1-4 - [c4]Andy Shih, Guy Van den Broeck, Paul Beame, Antoine Amarilli:
Smoothing Structured Decomposable Circuits. NeurIPS 2019: 11412-11422 - [c3]Andy Shih, Adnan Darwiche, Arthur Choi:
Verifying Binarized Neural Networks by Angluin-Style Learning. SAT 2019: 354-370 - [i2]Andy Shih, Guy Van den Broeck, Paul Beame, Antoine Amarilli:
Smoothing Structured Decomposable Circuits. CoRR abs/1906.00311 (2019) - 2018
- [b1]Andy Shih:
Flexible and solution-processed organic thin film transistors for high voltage applications. Massachusetts Institute of Technology, Cambridge, USA, 2018 - [c2]Andy Shih, Arthur Choi, Adnan Darwiche:
A Symbolic Approach to Explaining Bayesian Network Classifiers. IJCAI 2018: 5103-5111 - [c1]Andy Shih, Arthur Choi, Adnan Darwiche:
Formal Verification of Bayesian Network Classifiers. PGM 2018: 427-438 - [i1]Andy Shih, Arthur Choi, Adnan Darwiche:
A Symbolic Approach to Explaining Bayesian Network Classifiers. CoRR abs/1805.03364 (2018)
Coauthor Index
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last updated on 2024-10-04 21:04 CEST by the dblp team
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