Publications

Center for Research on Foundation Models (2099). On the Opportunities and Risks of Foundation Models. whitepaper.

pdf

Kyle Hsu, Will Dorrell, James C. R. Whittington, Jiajun Wu, Chelsea Finn (2023). Disentanglement via Latent Quantization. NeurIPS 2023.

pdf code

Kyle Hsu, Moo Jin Kim, Rafael Rafailov, Jiajun Wu, Chelsea Finn (2022). Vision-Based Manipulators Need to Also See from Their Hands. ICLR 2022 oral presentation.

pdf project

Guodong Zhang, Kyle Hsu, Jianing Li, Chelsea Finn, Roger Grosse (2021). Differentiable Annealed Importance Sampling and the Perils of Gradient Noise. NeurIPS 2021.

pdf

Gintare Karolina Dziugaite, Kyle Hsu, Waseem Gharbieh, Gabriel Arpino, Daniel M. Roy (2021). On the Role of Data in PAC-Bayes Bounds. AISTATS 2021.

pdf code

Allan Jabri, Kyle Hsu, Benjamin Eysenbach, Abhishek Gupta, Sergey Levine, Chelsea Finn (2019). Unsupervised Curricula for Visual Meta-Reinforcement Learning. NeurIPS 2019 spotlight presentation.

pdf project poster

Kyle Hsu, Sergey Levine, Chelsea Finn (2019). Unsupervised Learning via Meta-Learning. ICLR 2019.

pdf code project poster

Kyle Hsu, Rupak Majumdar, Kaushik Mallik, Anne-Kathrin Schmuck (2019). Lazy Abstraction-Based Controller Synthesis. ATVA 2019 invited paper .

pdf code

Kyle Hsu, Rupak Majumdar, Kaushik Mallik, Anne-Kathrin Schmuck (2018). Lazy Abstraction-Based Control for Safety Specifications. CDC 2018.

pdf code

Kyle Hsu, Rupak Majumdar, Kaushik Mallik, Anne-Kathrin Schmuck (2018). Multi-Layered Abstraction-Based Controller Synthesis for Continuous-Time Systems. HSCC 2018.

pdf code project

Ryan Going, Tae Joon Seok, Jodi Loo, Kyle Hsu, Ming C. Wu (2015). Germanium Wrap-Around Photodetectors on Silicon Photonics. Optics Express 2015.

pdf