Galen Reeves
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
162*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
106*2019
Approximate sparsity pattern recovery: Information-theoretic lower bounds
G Reeves, MC Gastpar
IEEE Transactions on Information Theory 59 (6), 3451-3465, 2013
832013
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
782009
Querying compressed time-series signals
J Liu, SK Nath, F Zhao, GA Reeves, SK Gandhi
US Patent 8,219,574, 2012
722012
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
422009
Sparse signal sampling using noisy linear projections
G Reeves
CALIFORNIA UNIV BERKELEY DEPT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE, 2008
312008
A compressed sensing wire-tap channel
G Reeves, N Goela, N Milosavljevic, M Gastpar
2011 IEEE Information Theory Workshop, 548-552, 2011
292011
Additivity of information in multilayer networks via additive Gaussian noise transforms
G Reeves
2017 55th Annual Allerton Conference on Communication, Control, and …, 2017
252017
Compressed sensing under optimal quantization
A Kipnis, G Reeves, YC Eldar, AJ Goldsmith
2017 IEEE international symposium on information theory (ISIT), 2148-2152, 2017
242017
The all-or-nothing phenomenon in sparse linear regression
G Reeves, J Xu, I Zadik
Conference on Learning Theory, 2652-2663, 2019
202019
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
182019
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
152018
The minimax noise sensitivity in compressed sensing
G Reeves, D Donoho
2013 IEEE International Symposium on Information Theory, 116-120, 2013
152013
The Gaussian equivalence of generative models for learning with two-layer neural networks
S Goldt, G Reeves, M Mézard, F Krzakala, L Zdeborová
arXiv preprint arXiv:2006.14709, 2020
142020
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
132018
Conditional central limit theorems for Gaussian projections
G Reeves
2017 IEEE International Symposium on Information Theory (ISIT), 3045-3049, 2017
122017
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
122012
Sparsity pattern recovery in compressed sensing
G Reeves
UC Berkeley, 2011
112011
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Articles 1–20