Galen Reeves

Cited by

	All	Since 2016
Citations	1026	682
h-index	15	14
i10-index	25	19

180

135

200820092010201120122013201420152016201720182019202020217 19 27 36 56 58 66 65 63 97 108 122 168 122

Public access

View all

10 articles

1 article

available

not available

Based on funding mandates

Co-authors

Michael GastparProfessor, Ecole Polytechnique Fédérale (EPFL), SwitzerlandVerified email at epfl.ch
Jie LiuHarbin Institute of Technology (Shenzhen)Verified email at hit.edu.cn
Suman NathPrincipal Researcher, Microsoft ResearchVerified email at microsoft.com
Feng ZhaoMicrosoft ResearchVerified email at alum.mit.edu
Henry PfisterProfessor of Electrical and Computer Engineering, Duke UniversityVerified email at duke.edu
Vaishakhi MayyaGraduate Student, Duke UniversityVerified email at duke.edu
Miguel RodriguesProfessor of Information Theory and Processing, University College LondonVerified email at ucl.ac.uk
Alon KipnisPostdoctoral Scholar, Stanford UniversityVerified email at stanford.edu
David DunsonArts & Sciences Professor of Statistical Science & MathematicsVerified email at duke.edu
Willem van den BoomResearch Fellow, Yale-NUS CollegeVerified email at yale-nus.edu.sg
B O MainsahDuke UniversityVerified email at duke.edu
Jianbo YangTencentVerified email at duke.edu
Xin YuanBell Labs, Duke University, Hong Kong Polytechnic UniversityVerified email at bell-labs.com
Francesco RennaInstituto de Telecomunicações, University of PortoVerified email at dcc.fc.up.pt
R. CalderbankBell Labs, AT&T Labs, Princeton University, Duke UniversityVerified email at duke.edu
Yonina EldarMath and Computer Science, WeizmannVerified email at weizmann.ac.il
Ilias ZadikCDS Moore-Sloan Fellow, New York UniversityVerified email at nyu.edu
Leslie M CollinsProfessor of Electrical and Computer Engineering, Duke UniversityVerified email at duke.edu
Naveen GoelaU.C. Berkeley, MITVerified email at alum.mit.edu
Guillermo SapiroJames B. Duke Professor at Duke University and Senior Research Scientist, Health AI, at Apple, Inc.Verified email at duke.edu

Galen Reeves

Duke University

Verified email at duke.edu - Homepage

information theory high-dimensional statistics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	165*	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	109*	2019
Approximate sparsity pattern recovery: Information-theoretic lower bounds G Reeves, MC Gastpar IEEE Transactions on Information Theory 59 (6), 3451-3465, 2013	83	2013
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	79	2009
Querying compressed time-series signals J Liu, SK Nath, F Zhao, GA Reeves, SK Gandhi US Patent 8,219,574, 2012	74	2012
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	46*	2016
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	43	2009
Sparse signal sampling using noisy linear projections G Reeves CALIFORNIA UNIV BERKELEY DEPT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE, 2008	31	2008
Additivity of information in multilayer networks via additive Gaussian noise transforms G Reeves 2017 55th Annual Allerton Conference on Communication, Control, and …, 2017	29	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
The all-or-nothing phenomenon in sparse linear regression G Reeves, J Xu, I Zadik Conference on Learning Theory, 2652-2663, 2019	26	2019
Compressed sensing under optimal quantization A Kipnis, G Reeves, YC Eldar, AJ Goldsmith 2017 IEEE international symposium on information theory (ISIT), 2148-2152, 2017	24	2017
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	21	2019
The gaussian equivalence of generative models for learning with two-layer neural networks S Goldt, G Reeves, M Mézard, F Krzakala, L Zdeborová arXiv e-prints, arXiv: 2006.14709, 2020	18	2020
Single letter formulas for quantized compressed sensing with Gaussian codebooks A Kipnis, G Reeves, YC Eldar 2018 IEEE international symposium on information theory (ISIT), 71-75, 2018	15	2018
The minimax noise sensitivity in compressed sensing G Reeves, D Donoho 2013 IEEE International Symposium on Information Theory, 116-120, 2013	15	2013
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	14	2018
Conditional central limit theorems for Gaussian projections G Reeves 2017 IEEE International Symposium on Information Theory (ISIT), 3045-3049, 2017	13	2017
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	12	2019
Compressed sensing phase transitions: Rigorous bounds versus replica predictions G Reeves, M Gastpar 2012 46th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2012	12	2012

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow this author

Cited by

Co-authors