Yi Sun 个人学术档案 - 学术资源搜索

引用次数

	总计	2019 年至今
引用	550	499
h 指数	12	11
i10 指数	14	13

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合著作者

Daniel KangUIUC在 illinois.edu 的电子邮件经过验证
Tatsunori HashimotoAssistant Professor, Stanford在 stanford.edu 的电子邮件经过验证
Jacob SteinhardtStanford University在 cs.stanford.edu 的电子邮件经过验证
Dan HendrycksDirector of the Center for AI Safety在 berkeley.edu 的电子邮件经过验证
Tom B BrownAnthropic在 anthropic.com 的电子邮件经过验证
Matei ZahariaUC Berkeley and Databricks在 berkeley.edu 的电子邮件经过验证
Tommi JaakkolaMIT在 csail.mit.edu 的电子邮件经过验证
Peter BailisGoogle在 google.com 的电子邮件经过验证
L F AbbottBrandeis University, CERN, Boston University, Columbia University, Stanford Linear Accelerator在 columbia.edu 的电子邮件经过验证
Peter Y. WangDeisseroth Lab, Stanford University在 stanford.edu 的电子邮件经过验证
Mukund SundararajanGoogle在 cs.stanford.edu 的电子邮件经过验证
Ion StoicaProfessor of Computer Science, UC Berkeley在 cs.berkeley.edu 的电子邮件经过验证
Tianhao WangResearch Assistant Professor, Toyota Technological Institute at Chicago在 ttic.edu 的电子邮件经过验证
John GuibasStanford University在 stanford.edu 的电子邮件经过验证
Boris HaninAssistant Professor, Princeton ORFE在 princeton.edu 的电子邮件经过验证
Guangyu Robert YangCEO Altera.AL & Silverman (1968) Family Career Development Professor, MIT在 altera.al 的电子邮件经过验证
Vadim GorinUC Berkeley在 berkeley.edu 的电子邮件经过验证
Yihong WuProfessor, Department of Statistics and Data Science在 yale.edu 的电子邮件经过验证
Xin SunBeijing International Center for Mathematical Research, Peking University在 bicmr.pku.edu.cn 的电子邮件经过验证
Roy R. LedermanYale University在 yale.edu 的电子邮件经过验证

关注

Yi Sun

Assistant Professor, UChicago Statistics

在 statistics.uchicago.edu 的电子邮件经过验证 - 首页

Probability Random Matrix Theory Neural Networks


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
Testing Robustness Against Unforeseen Adversaries D Kang, Y Sun, D Hendrycks, T Brown, J Steinhardt arXiv preprint 1908.08016, 2019	186*	2019
Evolving the olfactory system with machine learning PY Wang, Y Sun, R Axel, LF Abbott, GR Yang Neuron 109 (23), 3879-3892. e5, 2021	41	2021
Axiomatic attribution for multilinear functions Y Sun, M Sundararajan Proceedings of the 12th ACM conference on Electronic commerce, 177-178, 2011	32	2011
Scaling up Trustless DNN Inference with Zero-Knowledge Proofs D Kang, T Hashimoto, I Stoica, Y Sun arXiv preprint arXiv:2210.08674, 2022	26	2022
From random walks to distances on unweighted graphs TB Hashimoto, Y Sun, TS Jaakkola Advances in Neural Information Processing Systems 28, 2015	26	2015
Metric recovery from directed unweighted graphs T Hashimoto, Y Sun, T Jaakkola The 18th International Conference on Artificial Intelligence and Statistics, 2015	26	2015
How data augmentation affects optimization for linear regression B Hanin, Y Sun Advances in Neural Information Processing Systems 34, 8095-8105, 2021	24	2021
Accelerating approximate aggregation queries with expensive predicates D Kang, J Guibas, P Bailis, T Hashimoto, Y Sun, M Zaharia arXiv preprint arXiv:2108.06313, 2021	24	2021
Gaussian fluctuations for products of random matrices V Gorin, Y Sun American Journal of Mathematics 144 (2), 287-393, 2022	23	2022
Likelihood landscape and maximum likelihood estimation for the discrete orbit recovery model Z Fan, Y Sun, T Wang, Y Wu arXiv preprint 2004.00041, 2020	17	2020
Probabilistic conformal blocks for Liouville CFT on the torus P Ghosal, G Remy, X Sun, Y Sun Duke Mathematical Journal 173 (6), 1085-1175, 2024	15*	2024
A new integral formula for Heckman-Opdam hypergeometric functions Y Sun Advances in Mathematics 289, 1157-1204, 2016	12	2016
Maximum likelihood for high-noise group orbit estimation and single-particle cryo-EM Z Fan, RR Lederman, Y Sun, T Wang, S Xu https://arxiv.org/abs/2107.01305, 2021	11	2021
Certifying Zero-Knowledge Circuits with Refinement Types J Liu, I Kretz, H Liu, B Tan, J Wang, Y Sun, L Pearson, A Miltner, I Dillig, ... arXiv preprint arXiv:2304.07648, 2023	10	2023
Principal components in linear mixed models with general bulk Z Fan, Y Sun, Z Wang arXiv preprint 1903.09592, 2019	9	2019
ZK-IMG: Attested Images via Zero-Knowledge Proofs to Fight Disinformation D Kang, T Hashimoto, I Stoica, Y Sun arXiv preprint arXiv:2211.04775, 2022	8	2022
Spiked covariances and principal components analysis in high-dimensional random effects models Z Fan, IM Johnstone, Y Sun arXiv preprint arXiv:1806.09529, 2018	8	2018
Matrix models for multilevel Heckman-Opdam and multivariate Bessel measures Y Sun arXiv preprint arXiv:1609.09096, 2016	7	2016
Methods and systems for attributing changes in an advertising metric of interest to other advertising metrics DT Bogaty, M Sundararajan, CD Karande, Y Sun US Patent App. 13/488,030, 2013	7	2013
Laguerre and Jacobi analogues of the Warren process Y Sun arXiv preprint arXiv:1610.01635, 2016	6	2016

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