Galen Reeves
Galen Reeves
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Zitiert von
Zitiert von
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
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
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
Querying compressed time-series signals
J Liu, SK Nath, F Zhao, GA Reeves, SK Gandhi
US Patent 8,219,574, 2012
Approximate sparsity pattern recovery: Information-theoretic lower bounds
G Reeves, MC Gastpar
IEEE Transactions on Information Theory 59 (6), 3451-3465, 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
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
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
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
The all-or-nothing phenomenon in sparse linear regression
G Reeves, J Xu, I Zadik
Conference on Learning Theory, 2652-2663, 2019
Additivity of information in multilayer networks via additive Gaussian noise transforms
G Reeves
2017 55th Annual Allerton Conference on Communication, Control, and …, 2017
Information-theoretic limits for the matrix tensor product
G Reeves
IEEE Journal on Selected Areas in Information Theory 1 (3), 777-798, 2020
Reed-Muller codes achieve capacity on BMS channels
G Reeves, HD Pfister
arXiv preprint arXiv:2110.14631 4 (6), 7, 2021
Conditional central limit theorems for Gaussian projections
G Reeves
2017 IEEE International Symposium on Information Theory (ISIT), 3045-3049, 2017
A compressed sensing wire-tap channel
G Reeves, N Goela, N Milosavljevic, M Gastpar
2011 IEEE Information Theory Workshop, 548-552, 2011
Sparse signal sampling using noisy linear projections
G Reeves
Univ. of California, Berkeley, Dept. of Elec. Eng. and Comp. Sci., Tech. Rep …, 2008
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
Compressed sensing under optimal quantization
A Kipnis, G Reeves, YC Eldar, AJ Goldsmith
2017 IEEE international symposium on information theory (ISIT), 2148-2152, 2017
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
The gaussian equivalence of generative models for learning with two-layer neural networks
S Goldt, G Reeves, M Mézard, F Krzakala, L Zdeborová
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