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Justin D. Li
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2020 – today
- 2024
- [c4]Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatti, Justin D. Li, Ann-Kathrin Dombrowski, Shashwat Goel, Gabriel Mukobi, Nathan Helm-Burger, Rassin Lababidi, Lennart Justen, Andrew B. Liu, Michael Chen, Isabelle Barrass, Oliver Zhang, Xiaoyuan Zhu, Rishub Tamirisa, Bhrugu Bharathi, Ariel Herbert-Voss, Cort B. Breuer, Andy Zou, Mantas Mazeika, Zifan Wang, Palash Oswal, Weiran Lin, Adam A. Hunt, Justin Tienken-Harder, Kevin Y. Shih, Kemper Talley, John Guan, Ian Steneker, David Campbell, Brad Jokubaitis, Steven Basart, Stephen Fitz, Ponnurangam Kumaraguru, Kallol Krishna Karmakar, Uday Kiran Tupakula, Vijay Varadharajan, Yan Shoshitaishvili, Jimmy Ba, Kevin M. Esvelt, Alexandr Wang, Dan Hendrycks:
The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning. ICML 2024 - [i3]Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatti, Justin D. Li, Ann-Kathrin Dombrowski, Shashwat Goel, Long Phan, Gabriel Mukobi, Nathan Helm-Burger, Rassin Lababidi, Lennart Justen, Andrew B. Liu, Michael Chen, Isabelle Barrass, Oliver Zhang, Xiaoyuan Zhu, Rishub Tamirisa, Bhrugu Bharathi, Adam Khoja, Zhenqi Zhao, Ariel Herbert-Voss, Cort B. Breuer, Andy Zou, Mantas Mazeika, Zifan Wang, Palash Oswal, Weiran Liu, Adam A. Hunt, Justin Tienken-Harder, Kevin Y. Shih, Kemper Talley, John Guan, Russell Kaplan, Ian Steneker, David Campbell, Brad Jokubaitis, Alex Levinson, Jean Wang, William Qian, Kallol Krishna Karmakar, Steven Basart, Stephen Fitz, Mindy Levine, Ponnurangam Kumaraguru, Uday Kiran Tupakula, Vijay Varadharajan, Yan Shoshitaishvili, Jimmy Ba, Kevin M. Esvelt, Alexandr Wang, Dan Hendrycks:
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning. CoRR abs/2403.03218 (2024) - 2023
- [c3]Justin D. Li, Matus Telgarsky:
On Achieving Optimal Adversarial Test Error. ICLR 2023 - [i2]Justin D. Li, Matus Telgarsky:
On Achieving Optimal Adversarial Test Error. CoRR abs/2306.07544 (2023) - 2021
- [c2]Ziwei Ji, Justin D. Li, Matus Telgarsky:
Early-stopped neural networks are consistent. NeurIPS 2021: 1805-1817 - [i1]Ziwei Ji, Justin D. Li, Matus Telgarsky:
Early-stopped neural networks are consistent. CoRR abs/2106.05932 (2021) - 2020
- [j4]James R. Clavin, Sisi Duan, Haibin Zhang, Vandana P. Janeja, Karuna P. Joshi, Yelena Yesha, Lucy C. Erickson, Justin D. Li:
Blockchains for Government: Use Cases and Challenges. Digit. Gov. Res. Pract. 1(3): 22:1-22:21 (2020)
2010 – 2019
- 2019
- [j3]Michael Gowanlock, Cody M. Rude, David M. Blair, Justin D. Li, Victor Pankratius:
A Hybrid Approach for Optimizing Parallel Clustering Throughput using the GPU. IEEE Trans. Parallel Distributed Syst. 30(4): 766-777 (2019) - 2018
- [j2]Michael G. Gowanlock, Justin D. Li, Cody M. Rude, Victor Pankratius:
Parallel optimization of signal detection in active magnetospheric signal injection experiments. Comput. Geosci. 114: 107-116 (2018) - 2017
- [c1]Michael G. Gowanlock, Cody M. Rude, David M. Blair, Justin D. Li, Victor Pankratius:
Clustering Throughput Optimization on the GPU. IPDPS 2017: 832-841 - 2016
- [j1]Victor Pankratius, Justin D. Li, Michael G. Gowanlock, David M. Blair, Cody Rude, Tom Herring, Frank D. Lind, Philip J. Erickson, Colin J. Lonsdale:
Computer-Aided Discovery: Toward Scientific Insight Generation with Machine Support. IEEE Intell. Syst. 31(4): 3-10 (2016)
Coauthor Index
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last updated on 2024-09-04 01:20 CEST by the dblp team
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