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ORCIDGrace Lam
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2020 – today
- 2024
[i4]Moo Jin Kim, Karl Pertsch, Siddharth Karamcheti, Ted Xiao, Ashwin Balakrishna, Suraj Nair, Rafael Rafailov, Ethan Paul Foster, Grace Lam, Pannag Sanketi, Quan Vuong, Thomas Kollar, Benjamin Burchfiel, Russ Tedrake, Dorsa Sadigh, Sergey Levine, Percy Liang, Chelsea Finn:
OpenVLA: An Open-Source Vision-Language-Action Model. CoRR abs/2406.09246 (2024)- [i3]Yuval Atzmon, Maciej Bala, Yogesh Balaji, Tiffany Cai, Yin Cui, Jiaojiao Fan, Yunhao Ge, Siddharth Gururani, Jacob Samuel Huffman, Ronald Isaac, Pooya Jannaty, Tero Karras, Grace Lam, J. P. Lewis, Aaron Licata, Yen-Chen Lin, Ming-Yu Liu, Qianli Ma, Arun Mallya, Ashlee Martino-Tarr, Doug Mendez, Seungjun Nah, Chris Pruett, Fitsum Reda, Jiaming Song, Ting-Chun Wang, Fangyin Wei, Xiaohui Zeng, Yu Zeng, Qinsheng Zhang:
Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models. CoRR abs/2411.07126 (2024) - 2023
- [i2]Wanqiao Xu, Shi Dong, Xiuyuan Lu, Grace Lam, Zheng Wen, Benjamin Van Roy:
RLHF and IIA: Perverse Incentives. CoRR abs/2312.01057 (2023)
2010 – 2019
- 2019
- [i1]Ruizhi Liao, Jonathan Rubin, Grace Lam, Seth J. Berkowitz, Sandeep Dalal, William M. Wells III, Steven Horng, Polina Golland:
Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images. CoRR abs/1902.10785 (2019)
Coauthor Index
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