Publications by Galen Reeves.

**Papers Published**

- Reeves, G,
*A Two-Moment Inequality with Applications to Rényi Entropy and Mutual Information.*, Entropy, vol. 22 no. 11 (November, 2020), pp. 1-26 [doi] [abs]. - Barbier, J; Reeves, G,
*Information-theoretic limits of a multiview low-rank symmetric spiked matrix model*, Ieee International Symposium on Information Theory Proceedings, vol. 2020-June (June, 2020), pp. 2771-2776 [doi] [abs]. - Mathews, H; Mayya, V; Volfovsky, A; Reeves, G,
*Gaussian Mixture Models for Stochastic Block Models with Non-Vanishing Noise*, 2019 Ieee 8th International Workshop on Computational Advances in Multi Sensor Adaptive Processing, Camsap 2019 Proceedings (December, 2019), pp. 699-703 [doi] [abs]. - Reeves, G; Xu, J; Zadik, I,
*All-or-Nothing Phenomena: From Single-Letter to High Dimensions*, 2019 Ieee 8th International Workshop on Computational Advances in Multi Sensor Adaptive Processing, Camsap 2019 Proceedings (December, 2019), pp. 654-658 [doi] [abs]. - Mayya, V; Reeves, G,
*Mutual Information in Community Detection with Covariate Information and Correlated Networks*, 2019 57th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2019 (September, 2019), pp. 602-607 [doi] [abs]. - Kipnis, A; Reeves, G,
*Gaussian Approximation of Quantization Error for Estimation from Compressed Data*, Ieee International Symposium on Information Theory Proceedings, vol. 2019-July (July, 2019), pp. 2029-2033 [doi] [abs]. - Reeves, G; Mayya, V; Volfovsky, A,
*The Geometry of Community Detection via the MMSE Matrix*, Ieee International Symposium on Information Theory Proceedings, vol. 2019-July (July, 2019), pp. 400-404 [doi] [abs]. - Reeves, G; Pfister, HD,
*The Replica-Symmetric Prediction for Random Linear Estimation With Gaussian Matrices Is Exact*, Ieee Transactions on Information Theory, vol. 65 no. 4 (April, 2019), pp. 2252-2283 [doi] [abs]. - Bertran, M; Martinez, N; Papadaki, A; Qiu, Q; Rodrigues, M; Reeves, G; Sapiro, G,
*Adversarially learned representations for information obfuscation and inference*, 36th International Conference on Machine Learning, Icml 2019, vol. 2019-June (January, 2019), pp. 960-974 [abs]. - Reeves, G; Pfister, HD; Dytso, A,
*Mutual Information as a Function of Matrix SNR for Linear Gaussian Channels*, Ieee International Symposium on Information Theory Proceedings, vol. 2018-June (August, 2018), pp. 1754-1758, IEEE [doi] [abs]. - Kipnis, A; Reeves, G; Eldar, YC,
*Single Letter Formulas for Quantized Compressed Sensing with Gaussian Codebooks*, Ieee International Symposium on Information Theory Proceedings, vol. 2018-June (August, 2018), pp. 71-75, IEEE [doi] [abs]. - Reeves, G,
*Additivity of information in multilayer networks via additive Gaussian noise transforms*, 55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017, vol. 2018-January (January, 2018), pp. 1064-1070, IEEE [doi] [abs]. - Reeves, G,
*Two-moment inequalities for Rényi entropy and mutual information*, Ieee International Symposium on Information Theory Proceedings (August, 2017), pp. 664-668, IEEE [doi] [abs]. - Reeves, G,
*Conditional central limit theorems for Gaussian projections*, Ieee International Symposium on Information Theory Proceedings (August, 2017), pp. 3045-3049, IEEE [doi] [abs]. - Kipnis, A; Reeves, G; Eldar, YC; Goldsmith, AJ,
*Compressed sensing under optimal quantization*, Ieee International Symposium on Information Theory Proceedings (August, 2017), pp. 2148-2152, IEEE [doi] [abs]. - Mainsah, BO; Reeves, G; Collins, LM; Throckmorton, CS,
*Optimizing the stimulus presentation paradigm design for the P300-based brain-computer interface using performance prediction.*, Journal of Neural Engineering, vol. 14 no. 4 (August, 2017), pp. 046025 [doi] [abs]. - Mainsah, BO; Collins, LM; Reeves, G; Throckmorton, CS,
*A performance-based approach to designing the stimulus presentation paradigm for the P300-based BCI by exploiting coding theory*, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp) (June, 2017), pp. 3026-3030, IEEE [doi] [abs]. - Mayya, V; Mainsah, B; Reeves, G,
*Information-theoretic analysis of refractory effects in the P300 speller*, Conference Record Asilomar Conference on Signals, Systems and Computers (March, 2017), pp. 1621-1625, IEEE [doi] [abs]. - Mayya, V; Mainsah, B; Reeves, G,
*Modeling the P300-based brain-computer interface as a channel with memory*, 54th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2016 (February, 2017), pp. 23-30, IEEE [doi] [abs]. - Renna, F; Wang, L; Yuan, X; Yang, J; Reeves, G; Calderbank, R; Carin, L; Rodrigues, MRD,
*Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Features in the Presence of Side Information*, Ieee Transactions on Information Theory, vol. 62 no. 11 (November, 2016), pp. 6459-6492, Institute of Electrical and Electronics Engineers (IEEE) [doi] [abs]. - Reeves, G; Pfister, HD,
*The replica-symmetric prediction for compressed sensing with Gaussian matrices is exact*, Ieee International Symposium on Information Theory Proceedings, vol. 2016-August (August, 2016), pp. 665-669, IEEE [doi] [abs]. - Llull, P; Reeves, G; Carin, L; Brady, DJ,
*Performance assessment of image translation-engineered point spread functions*, Optics Infobase Conference Papers, vol. Part F7-COSI 2016 (July, 2016), OSA [doi] [abs]. - Renna, F; Wang, L; Yuan, X; Yang, J; Reeves, G; Calderbank, R; Carin, L; Rodrigues, MRD,
*Classification and reconstruction of compressed GMM signals with side information*, Ieee International Symposium on Information Theory Proceedings, vol. 2015-June (September, 2015), pp. 994-998 [doi] [abs]. - Van Den Boom, W; Dunson, D; Reeves, G,
*Quantifying uncertainty in variable selection with arbitrary matrices*, 2015 Ieee 6th International Workshop on Computational Advances in Multi Sensor Adaptive Processing, Camsap 2015 (January, 2015), pp. 385-388 [doi] [abs]. - Reeves, G,
*The fundamental limits of stable recovery in compressed sensing*, Ieee International Symposium on Information Theory Proceedings (January, 2014), pp. 3017-3021, IEEE [doi] [abs]. - Reeves, G,
*Beyond sparsity: Universally stable compressed sensing when the number of 'free' values is less than the number of observations*, 2013 5th Ieee International Workshop on Computational Advances in Multi Sensor Adaptive Processing, Camsap 2013 (December, 2013), pp. 17-20, IEEE [doi] [abs]. - Reeves, G; Gastpar, MC,
*Approximate sparsity pattern recovery: Information-theoretic lower bounds*, Ieee Transactions on Information Theory, vol. 59 no. 6 (May, 2013), pp. 3451-3465, Institute of Electrical and Electronics Engineers (IEEE) [doi] [abs]. - Donoho, D; Reeves, G,
*Achieving Bayes MMSE performance in the sparse signal + Gaussian white noise model when the noise level is unknown*, Ieee International Symposium on Information Theory Proceedings (January, 2013), pp. 101-105, IEEE [doi] [abs]. - Reeves, G; Donoho, D,
*The minimax noise sensitivity in compressed sensing*, Ieee International Symposium on Information Theory Proceedings (January, 2013), pp. 116-120, IEEE [doi] [abs]. - Reeves, G; Gastpar, M,
*Compressed sensing phase transitions: Rigorous bounds versus replica predictions*, 2012 46th Annual Conference on Information Sciences and Systems, Ciss 2012 (November, 2012), IEEE [doi] [abs]. - Donoho, D; Reeves, G,
*The sensitivity of compressed sensing performance to relaxation of sparsity*, Ieee International Symposium on Information Theory Proceedings (October, 2012), pp. 2211-2215, IEEE [doi] [abs]. - Reeves, G; Gastpar, M,
*The sampling rate-distortion tradeoff for sparsity pattern recovery in compressed sensing*, Ieee Transactions on Information Theory, vol. 58 no. 5 (May, 2012), pp. 3065-3092, Institute of Electrical and Electronics Engineers (IEEE) [doi] [abs]. - Reeves, G; Goela, N; Milosavljevic, N; Gastpar, M,
*A compressed sensing wire-tap channel*, 2011 Ieee Information Theory Workshop, Itw 2011 (December, 2011), pp. 548-552, IEEE [doi] [abs]. - Reeves, G; Gastpar, M,
*On the role of diversity in sparsity estimation*, Ieee International Symposium on Information Theory Proceedings (October, 2011), pp. 119-123, IEEE [doi] [abs]. - Reeves, G; Gastpar, M,
*"Compressed" compressed sensing*, Ieee International Symposium on Information Theory Proceedings (August, 2010), pp. 1548-1552, IEEE [doi] [abs]. - Reeves, G; Gastpar, M,
*A note on optimal support recovery in compressed sensing*, Conference Record Asilomar Conference on Signals, Systems and Computers (December, 2009), pp. 1576-1580, IEEE [doi] [abs]. - Reeves, G; Liu, J; Nath, S; Zhao, F,
*Managing massive time series streams with multi-scale compressed trickles*, Proceedings of the Vldb Endowment, vol. 2 no. 1 (January, 2009), pp. 97-108, VLDB Endowment [doi] [abs]. - Reeves, G; Gastpar, M,
*Sampling bounds for sparse support recovery in the presence of noise*, Ieee International Symposium on Information Theory Proceedings (September, 2008), pp. 2187-2191, IEEE [doi] [abs]. - Reeves, G; Gastpar, M,
*Differences between observation and sampling error in sparse signal reconstruction*, Ieee Workshop on Statistical Signal Processing Proceedings (December, 2007), pp. 690-694, IEEE [doi] [abs].