Galen Reeves

引用先

	すべて	2020 年以来
引用	1644	915
h 指標	22	18
i10 指標	37	24

220

110

165

2008200920102011201220132014201520162017201820192020202120222023202420257 21 27 36 55 58 67 65 61 96 110 114 150 159 185 184 203 32

オープンアクセス

すべて表示

17 件の論文

1 件の論文

利用可能

利用不可

助成機関の要件に基づく

共著者

Michael GastparProfessor, Ecole Polytechnique Fédérale (EPFL), Switzerland確認したメールアドレス: epfl.ch
Henry PfisterProfessor of Electrical and Computer Engineering, Duke University確認したメールアドレス: duke.edu
Jie LiuHarbin Institute of Technology確認したメールアドレス: hit.edu.cn
Suman NathPrincipal Researcher, Microsoft Research確認したメールアドレス: microsoft.com
Feng ZhaoMicrosoft Research確認したメールアドレス: alum.mit.edu
Vaishakhi MayyaGraduate Student, Duke University確認したメールアドレス: duke.edu
Miguel RodriguesProfessor of Information Theory and Processing, University College London確認したメールアドレス: ucl.ac.uk
Alon KipnisSenior Lecturer at Reichman University確認したメールアドレス: runi.ac.il
Yonina EldarMath and Computer Science, Weizmann確認したメールアドレス: weizmann.ac.il
David DunsonArts & Sciences Professor of Statistical Science & Mathematics確認したメールアドレス: duke.edu
Willem van den BoomScientist, Agency for Science Technology and Research確認したメールアドレス: sics.a-star.edu.sg
B O MainsahDuke University確認したメールアドレス: duke.edu
Ilias ZadikAssistant Professor, Yale University, Department of Statistics and Data Science確認したメールアドレス: yale.edu
Jianbo YangTencent確認したメールアドレス: duke.edu
Xin YuanWestlake University, Bell Labs, Duke University, Hong Kong Polytechnic University確認したメールアドレス: westlake.edu.cn
Francesco RennaINESC TEC, Faculdade de Ciências da Universidade do Porto確認したメールアドレス: fc.up.pt
R. CalderbankBell Labs, AT&T Labs, Princeton University, Duke University確認したメールアドレス: duke.edu
Guillermo SapiroAugustine Family Professor, Princeton University; Distinguished Eng., Apple; Prof. Emeritus, Duke U.確認したメールアドレス: princeton.edu
Leslie M CollinsProfessor of Electrical and Computer Engineering, Duke University確認したメールアドレス: duke.edu
Naveen GoelaStaff Scientist, UC Berkeley, MIT確認したメールアドレス: alum.mit.edu

フォロー

Galen Reeves

Duke University

確認したメールアドレス: duke.edu - ホームページ

information theory high-dimensional statistics


タイトル引用回数順公開年順タイトル順	引用先引用先	年
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	136	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	91	2009
Approximate sparsity pattern recovery: Information-theoretic lower bounds G Reeves, MC Gastpar IEEE Transactions on Information Theory 59 (6), 3451-3465, 2013	90	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	46	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	42	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	34	2019
Conditional central limit theorems for Gaussian projections G Reeves 2017 IEEE International Symposium on Information Theory (ISIT), 3045-3049, 2017	32	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
Reed–Muller codes on BMS channels achieve vanishing bit-error probability for all rates below capacity G Reeves, HD Pfister IEEE Transactions on Information Theory 70 (2), 920-949, 2023	26	2023

現在システムで処理を実行できません。しばらくしてからもう一度お試しください。

論文 1–20

年間引用数

重複した引用

結合された引用

共著者を追加共著者

フォロー

引用先

共著者