Kehang Han

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 9

Top Topics

Dirichlet Distribution

Top Venues

Comput. Chem. Eng.

J. Chem. Inf. Model.

Publications

Jiaxin Shi, Kehang Han, Zhe Wang, Arnaud Doucet, Michalis K. Titsias
Simplified and Generalized Masked Diffusion for Discrete Data. CoRR (2024)
Kehang Han, Kathleen Kenealy, Aditya Barua, Noah Fiedel, Noah Constant
Transfer Learning for Text Diffusion Models. CoRR (2024)
Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Xi Chen, Krzysztof Choromanski, Tianli Ding, Danny Driess, Avinava Dubey, Chelsea Finn, Pete Florence, Chuyuan Fu, Montse Gonzalez Arenas, Keerthana Gopalakrishnan, Kehang Han, Karol Hausman, Alexander Herzog, Jasmine Hsu, Brian Ichter, Alex Irpan, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Lisa Lee, Tsang-Wei Edward Lee, Sergey Levine, Yao Lu, Henryk Michalewski, Igor Mordatch, Karl Pertsch, Kanishka Rao, Krista Reymann, Michael S. Ryoo, Grecia Salazar, Pannag Sanketi, Pierre Sermanet, Jaspiar Singh, Anikait Singh, Radu Soricut, Huong Tran, Vincent Vanhoucke, Quan Vuong, Ayzaan Wahid, Stefan Welker, Paul Wohlhart, Jialin Wu, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, Brianna Zitkovich
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. CoRR (2023)
Brianna Zitkovich, Tianhe Yu, Sichun Xu, Peng Xu, Ted Xiao, Fei Xia, Jialin Wu, Paul Wohlhart, Stefan Welker, Ayzaan Wahid, Quan Vuong, Vincent Vanhoucke, Huong T. Tran, Radu Soricut, Anikait Singh, Jaspiar Singh, Pierre Sermanet, Pannag R. Sanketi, Grecia Salazar, Michael S. Ryoo, Krista Reymann, Kanishka Rao, Karl Pertsch, Igor Mordatch, Henryk Michalewski, Yao Lu, Sergey Levine, Lisa Lee, Tsang-Wei Edward Lee, Isabel Leal, Yuheng Kuang, Dmitry Kalashnikov, Ryan Julian, Nikhil J. Joshi, Alex Irpan, Brian Ichter, Jasmine Hsu, Alexander Herzog, Karol Hausman, Keerthana Gopalakrishnan, Chuyuan Fu, Pete Florence, Chelsea Finn, Kumar Avinava Dubey, Danny Driess, Tianli Ding, Krzysztof Marcin Choromanski, Xi Chen, Yevgen Chebotar, Justice Carbajal, Noah Brown, Anthony Brohan, Montserrat Gonzalez Arenas, Kehang Han
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. CoRL (2023)
Dustin Tran, Jeremiah Liu, Michael W. Dusenberry, Du Phan, Mark Collier, Jie Ren, Kehang Han, Zi Wang, Zelda Mariet, Huiyi Hu, Neil Band, Tim G. J. Rudner, Karan Singhal, Zachary Nado, Joost van Amersfoort, Andreas Kirsch, Rodolphe Jenatton, Nithum Thain, Honglin Yuan, Kelly Buchanan, Kevin Murphy, D. Sculley, Yarin Gal, Zoubin Ghahramani, Jasper Snoek, Balaji Lakshminarayanan
Plex: Towards Reliability using Pretrained Large Model Extensions. CoRR (2022)
Mengjie Liu, Alon Grinberg Dana, Matthew S. Johnson, Mark J. Goldman, Agnes Jocher, A. Mark Payne, Colin A. Grambow, Kehang Han, Nathan W. Yee, Emily J. Mazeau, Katrin Blondal, Richard H. West, C. Franklin Goldsmith, William H. Green Jr.
Reaction Mechanism Generator v3.0: Advances in Automatic Mechanism Generation. J. Chem. Inf. Model. 61 (6) (2021)
Kehang Han, Balaji Lakshminarayanan, Jeremiah T. Liu
Reliable Graph Neural Networks for Drug Discovery Under Distributional Shift. CoRR (2021)
Agnes Jocher, Nick M. Vandewiele, Kehang Han, Mengjie Liu, Connie W. Gao, Ryan J. Gillis, William H. Green Jr.
Scalability strategies for automated reaction mechanism generation. Comput. Chem. Eng. 131 (2019)
Kehang Han, William H. Green Jr., Richard H. West
On-the-fly pruning for rate-based reaction mechanism generation. Comput. Chem. Eng. 100 (2017)