Galen Reeves

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	Hepsi	2020 yılından bugüne
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Finansman sağlayan kuruluşun getirdiği zorunluluğa dayalı olarak

Katkıda bulunan yazarlar

Michael GastparProfessor, Ecole Polytechnique Fédérale (EPFL), Switzerlandepfl.ch üzerinde doğrulanmış e-posta adresine sahip
Henry PfisterProfessor of Electrical and Computer Engineering, Duke Universityduke.edu üzerinde doğrulanmış e-posta adresine sahip
Jie LiuHarbin Institute of Technologyhit.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Suman NathPrincipal Researcher, Microsoft Researchmicrosoft.com üzerinde doğrulanmış e-posta adresine sahip
Feng ZhaoMicrosoft Researchalum.mit.edu üzerinde doğrulanmış e-posta adresine sahip
Vaishakhi MayyaGraduate Student, Duke Universityduke.edu üzerinde doğrulanmış e-posta adresine sahip
Miguel RodriguesProfessor of Information Theory and Processing, University College Londonucl.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Alon KipnisSenior Lecturer at Reichman Universityruni.ac.il üzerinde doğrulanmış e-posta adresine sahip
Yonina EldarMath and Computer Science, Weizmannweizmann.ac.il üzerinde doğrulanmış e-posta adresine sahip
David DunsonArts & Sciences Professor of Statistical Science & Mathematicsduke.edu üzerinde doğrulanmış e-posta adresine sahip
Willem van den BoomScientist, Agency for Science Technology and Researchsics.a-star.edu.sg üzerinde doğrulanmış e-posta adresine sahip
B O MainsahDuke Universityduke.edu üzerinde doğrulanmış e-posta adresine sahip
Ilias ZadikAssistant Professor, Yale University, Department of Statistics and Data Scienceyale.edu üzerinde doğrulanmış e-posta adresine sahip
Jianbo YangTencentduke.edu üzerinde doğrulanmış e-posta adresine sahip
Xin YuanWestlake University, Bell Labs, Duke University, Hong Kong Polytechnic Universitywestlake.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Francesco RennaINESC TEC, Faculdade de Ciências da Universidade do Portofc.up.pt üzerinde doğrulanmış e-posta adresine sahip
R. CalderbankBell Labs, AT&T Labs, Princeton University, Duke Universityduke.edu üzerinde doğrulanmış e-posta adresine sahip
Guillermo SapiroAugustine Family Professor, Princeton University; Distinguished Eng., Apple; Prof. Emeritus, Duke U.princeton.edu üzerinde doğrulanmış e-posta adresine sahip
Leslie M CollinsProfessor of Electrical and Computer Engineering, Duke Universityduke.edu üzerinde doğrulanmış e-posta adresine sahip
Naveen GoelaStaff Scientist, UC Berkeley, MITalum.mit.edu üzerinde doğrulanmış e-posta adresine sahip

Takip et

Galen Reeves

Duke University

duke.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa

information theory high-dimensional statistics


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
The sampling rate-distortion tradeoff for sparsity pattern recovery in compressed sensing G Reeves, M Gastpar IEEE Transactions on Information Theory 58 (5), 3065-3092, 2012	179*	2012
The replica-symmetric prediction for random linear estimation with Gaussian matrices is exact G Reeves, HD Pfister IEEE Transactions on Information Theory 65 (4), 2252-2283, 2019	170*	2019
The gaussian equivalence of generative models for learning with shallow neural networks S Goldt, B Loureiro, G Reeves, F Krzakala, M Mézard, L Zdeborová Mathematical and Scientific Machine Learning, 426-471, 2022	144	2022
Querying compressed time-series signals J Liu, SK Nath, F Zhao, GA Reeves, SK Gandhi US Patent 8,219,574, 2012	95	2012
Managing massive time series streams with multi-scale compressed trickles G Reeves, J Liu, S Nath, F Zhao Proceedings of the VLDB Endowment 2 (1), 97-108, 2009	92	2009
Approximate sparsity pattern recovery: Information-theoretic lower bounds G Reeves, MC Gastpar IEEE Transactions on Information Theory 59 (6), 3451-3465, 2013	91	2013
Adversarially learned representations for information obfuscation and inference M Bertran, N Martinez, A Papadaki, Q Qiu, M Rodrigues, G Reeves, ... International Conference on Machine Learning, 614-623, 2019	75	2019
Classification and reconstruction of high-dimensional signals from low-dimensional features in the presence of side information F Renna, L Wang, X Yuan, J Yang, G Reeves, R Calderbank, L Carin, ... IEEE Transactions on Information Theory 62 (11), 6459-6492, 2016	51*	2016
The all-or-nothing phenomenon in sparse linear regression G Reeves, J Xu, I Zadik Conference on Learning Theory, 2652-2663, 2019	50	2019
A note on optimal support recovery in compressed sensing G Reeves, M Gastpar 2009 Conference Record of the Forty-Third Asilomar Conference on Signals …, 2009	45	2009
Information-theoretic limits for the matrix tensor product G Reeves IEEE Journal on Selected Areas in Information Theory 1 (3), 777-798, 2020	44	2020
Additivity of information in multilayer networks via additive Gaussian noise transforms G Reeves 2017 55th Annual Allerton Conference on Communication, Control, and …, 2017	40	2017
Reed-Muller codes achieve capacity on BMS channels G Reeves, HD Pfister arXiv preprint arXiv:2110.14631 4 (6), 7, 2021	35	2021
Mutual information in community detection with covariate information and correlated networks V Mayya, G Reeves 2019 57th annual allerton conference on communication, control, and …, 2019	35	2019
Conditional central limit theorems for Gaussian projections G Reeves 2017 IEEE International Symposium on Information Theory (ISIT), 3045-3049, 2017	30	2017
A compressed sensing wire-tap channel G Reeves, N Goela, N Milosavljevic, M Gastpar 2011 IEEE Information Theory Workshop, 548-552, 2011	29	2011
Sparse signal sampling using noisy linear projections G Reeves Univ. of California, Berkeley, Dept. of Elec. Eng. and Comp. Sci., Tech. Rep …, 2008	29	2008
Mutual information as a function of matrix snr for linear gaussian channels G Reeves, HD Pfister, A Dytso 2018 IEEE International Symposium on Information Theory (ISIT), 1754-1758, 2018	28	2018
Compressed sensing under optimal quantization A Kipnis, G Reeves, YC Eldar, AJ Goldsmith 2017 IEEE international symposium on information theory (ISIT), 2148-2152, 2017	27	2017
Mathematical and scientific machine learning S Goldt, B Loureiro, G Reeves, F Krzakala, M Mézard, L Zdeborová PMLR, 2022	26	2022

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