Kehang Han — accepted AI-conference papers

2024

Simplified and Generalized Masked Diffusion for Discrete Data

Jiaxin Shi, Kehang Han, Zhe Wang, Arnaud Doucet, Michalis Titsias

NeurIPS 2024poster

Masked (or absorbing) diffusion is actively explored as an alternative to autoregressive models for generative modeling of discrete data. However, existing work in this area has been hindered by unnecessarily complex model formulations and unclear relationships between different perspectives, leadin…

Cited by 54 Source ↗PDF ↗code ↗Scholar ↗

2023

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Brianna Zitkovich, Tianhe Yu, Sichun Xu, Peng Xu, Ted Xiao, Fei Xia +48

CoRL 2023poster

We study how vision-language models trained on Internet-scale data can be incorporated directly into end-to-end robotic control to boost generalization and enable emergent semantic reasoning. Our goal is to enable a single end-to-end trained model to both learn to map robot observations to actions a…

Cited by 1068 Source ↗Scholar ↗