Yi Sun

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Daniel KangUIUCEmail verificata su illinois.edu
Tatsunori HashimotoAssistant Professor, StanfordEmail verificata su stanford.edu
Jacob SteinhardtStanford UniversityEmail verificata su cs.stanford.edu
Dan HendrycksDirector of the Center for AI Safety (advisor for xAI and Scale)Email verificata su berkeley.edu
Tom B BrownAnthropicEmail verificata su anthropic.com
Matei ZahariaUC Berkeley and DatabricksEmail verificata su berkeley.edu
Peter BailisGoogleEmail verificata su google.com
L F AbbottBrandeis University, CERN, Boston University, Columbia University, Stanford Linear AcceleratorEmail verificata su columbia.edu
Peter Y. WangAltera.ALEmail verificata su altera.al
Tommi JaakkolaMITEmail verificata su csail.mit.edu
Ion StoicaProfessor of Computer Science, UC BerkeleyEmail verificata su cs.berkeley.edu
Mukund SundararajanGoogleEmail verificata su cs.stanford.edu
Tianhao WangResearch Assistant Professor, Toyota Technological Institute at ChicagoEmail verificata su ttic.edu
John GuibasStanford UniversityEmail verificata su stanford.edu
Boris HaninAssistant Professor, Princeton ORFEEmail verificata su princeton.edu
Guangyu Robert YangCEO Altera.AL & former assistant professor at MITEmail verificata su altera.al
Xin SunBeijing International Center for Mathematical Research, Peking UniversityEmail verificata su bicmr.pku.edu.cn
Vadim GorinUC BerkeleyEmail verificata su berkeley.edu
Yihong WuProfessor, Department of Statistics and Data ScienceEmail verificata su yale.edu
Roy R. LedermanYale UniversityEmail verificata su yale.edu

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Yi Sun

Assistant Professor, UChicago Statistics

Email verificata su statistics.uchicago.edu - Home page

Probability Random Matrix Theory Neural Networks


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Testing Robustness Against Unforeseen Adversaries D Kang, Y Sun, D Hendrycks, T Brown, J Steinhardt arXiv preprint 1908.08016, 2019	195*	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	57	2021
Axiomatic attribution for multilinear functions Y Sun, M Sundararajan Proceedings of the 12th ACM conference on Electronic commerce, 177-178, 2011	37	2011
Scaling up Trustless DNN Inference with Zero-Knowledge Proofs D Kang, T Hashimoto, I Stoica, Y Sun arXiv preprint arXiv:2210.08674, 2022	34	2022
Gaussian fluctuations for products of random matrices V Gorin, Y Sun American Journal of Mathematics 144 (2), 287-393, 2022	28	2022
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	28	2021
How data augmentation affects optimization for linear regression B Hanin, Y Sun Advances in Neural Information Processing Systems 34, 8095-8105, 2021	26	2021
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
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	22	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	16*	2024
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	16	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, ... 2024 IEEE Symposium on Security and Privacy (SP), 1741-1759, 2024	14	2024
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	14	2022
A new integral formula for Heckman-Opdam hypergeometric functions Y Sun Advances in Mathematics 289, 1157-1204, 2016	14	2016
Principal components in linear mixed models with general bulk Z Fan, Y Sun, Z Wang arXiv preprint 1903.09592, 2019	9	2019
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	8	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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