Andy Shih
15 papers · 2018–2024 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (12)
🐣
Hot Topic Early Bird
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(6)
🏆
Keyword Champion
(2)
🏆
Grand Slam
🧬
Topic Evolution
🔥
Unstoppable
(7)
💎
Century Club
(15)
🚀
Conference Pioneer
🗃️
Keyword Collector
(74)
Conferences
NIPS (6)
AAAI (2)
ICML (2)
CORL (1)
CVPR (1)
ICLR (1)
IJCAI (1)
PGM (1)
Top co-authors
Keywords
diffusion model
(3)
graphical model
(3)
probabilistic inference
(2)
parallel sampling
(2)
bayesian network classifier
(2)
multi-agent reinforcement learning
(2)
inference algorithm
(2)
probabilistic graphical model
(2)
variational inference
(2)
explainable ai
(2)
probabilistic circuit
(2)
multi-agent system
(2)
ordered decision diagram
(2)
generative model
(2)
discrete optimization
(1)
formal verification
(1)
density estimation
(1)
feature attribution
(1)
feature importance
(1)
game theory
(1)
Papers
DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling
CVPR 2024
Parallel Sampling of Diffusion Models
NIPS 2023
Diverse Conventions for Human-AI Collaboration
NIPS 2023
Long Horizon Temperature Scaling
ICML 2023
Imitation Learning by Estimating Expertise of Demonstrators
ICML 2022
Training and Inference on Any-Order Autoregressive Models the Right Way
NIPS 2022
PantheonRL: A MARL Library for Dynamic Training Interactions
AAAI 2022
On the Critical Role of Conventions in Adaptive Human-AI Collaboration
ICLR 2021
HyperSPNs: Compact and Expressive Probabilistic Circuits
NIPS 2021
Influencing Towards Stable Multi-Agent Interactions
CORL 2021
Probabilistic Circuits for Variational Inference in Discrete Graphical Models
NIPS 2020
Smoothing Structured Decomposable Circuits
NIPS 2019
Compiling Bayesian Network Classifiers into Decision Graphs
AAAI 2019
A Symbolic Approach to Explaining Bayesian Network Classifiers
IJCAI 2018
Formal Verification of Bayesian Network Classifiers
PGM 2018