Jingtong Su

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Julia KempeCDS and Courant Institute, NYU在 nyu.edu 的电子邮件经过验证
Nikolaos TsilivisNew York University在 nyu.edu 的电子邮件经过验证
Ruiqi GaoPhD Student, Princeton University在 princeton.edu 的电子邮件经过验证
Tianle CaiPhD Student, Princeton University在 princeton.edu 的电子邮件经过验证
Liwei WangProfessor, Peking University在 cis.pku.edu.cn 的电子邮件经过验证
Yihang ChenEPFL在 epfl.ch 的电子邮件经过验证
Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science, Princeton University在 princeton.edu 的电子邮件经过验证
Miles CranmerUniversity of Cambridge在 cam.ac.uk 的电子邮件经过验证
Drummond FieldingFlatiron Research Fellow, Flatiron Institute, Center for Computational Astrophysics在 flatironinstitute.org 的电子邮件经过验证
Shirley HoFlatiron Institute, Center for Computational Astrophysics在 flatironinstitute.org 的电子邮件经过验证
Yifei WangPostdoc, MIT在 mit.edu 的电子邮件经过验证
Yisen WangAssistant Professor, Peking University在 pku.edu.cn 的电子邮件经过验证
Ya Shi ZhangStudent, University of Cambridge在 cam.ac.uk 的电子邮件经过验证

Jingtong Su

在 nyu.edu 的电子邮件经过验证 - 首页


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot J Su, Y Chen, T Cai, T Wu, R Gao, L Wang, JD Lee NeurIPS 2020; arXiv preprint arXiv:2009.11094, 2020	71	2020
Can we achieve robustness from data alone? N Tsilivis, J Su, J Kempe ICML Workshop on New Frontiers in Adversarial Machine Learning, 2022, 2022	15	2022
Adversarial Noise Injection for Learned Turbulence Simulations J Su, J Kempe, D Fielding, N Tsilivis, M Cranmer, S Ho NeurIPS Workshop on Machine Learning and the Physical Sciences, 2022, 2022	4	2022
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization S Xin, Y Wang, J Su, Y Wang AAAI 2023, 2022	2	2022
On the robustness of neural collapse and the neural collapse of robustness J Su, YS Zhang, N Tsilivis, J Kempe arXiv preprint arXiv:2311.07444, 2023	1	2023
Wavelets Beat Monkeys at Adversarial Robustness J Su, J Kempe NeurIPS Workshop on Machine Learning and the Physical Sciences, 2022, 2022		2022

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