Luo, Michael

7 publications

NeurIPS 2025 SimpleStrat: Diversifying Language Model Generation with Stratification Justin Wong, Yury Orlovskiy, Alexander Shypula, Michael Luo, Sanjit A. Seshia, Joseph E. Gonzalez

NeurIPS 2025 WorldModelBench: Judging Video Generation Models as World Models Dacheng Li, Yunhao Fang, Yukang Chen, Shuo Yang, Shiyi Cao, Justin Wong, Michael Luo, Xiaolong Wang, Hongxu Yin, Joseph E. Gonzalez, Ion Stoica, Song Han, Yao Lu

NeurIPS 2024 Stylus: Automatic Adapter Selection for Diffusion Models Michael Luo, Justin Wong, Brandon Trabucco, Yanping Huang, Joseph E. Gonzalez, Zhifeng Chen, Ruslan Salakhutdinov, Ion Stoica

NeurIPS 2021 Accelerating Quadratic Optimization with Reinforcement Learning Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato, Goran Banjac, Michael Luo, Francesco Borrelli, Joseph E Gonzalez, Ion Stoica, Ken Goldberg

ICLR 2021 Discovering Non-Monotonic Autoregressive Orderings with Variational Inference Xuanlin Li, Brandon Trabucco, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao

NeurIPS 2021 RLlib Flow: Distributed Reinforcement Learning Is a Dataflow Problem Eric Liang, Zhanghao Wu, Michael Luo, Sven Mika, Joseph E Gonzalez, Ion Stoica

ICLR 2020 IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks Michael Luo, Jiahao Yao, Richard Liaw, Eric Liang, Ion Stoica