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Galen Reeves
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2020 – today
- 2024
- [j9]Galen Reeves
, Henry D. Pfister
:
Reed-Muller Codes on BMS Channels Achieve Vanishing Bit-Error Probability for all Rates Below Capacity. IEEE Trans. Inf. Theory 70(2): 920-949 (2024) - [i27]Riccardo Rossetti, Bobak Nazer, Galen Reeves:
Linear Operator Approximate Message Passing (OpAMP). CoRR abs/2405.08225 (2024) - 2023
- [c36]Galen Reeves, Henry D. Pfister:
Achieving Capacity on Non-Binary Channels with Generalized Reed-Muller Codes. ISIT 2023: 2057-2062 - [i26]Galen Reeves, Henry D. Pfister:
Achieving Capacity on Non-Binary Channels with Generalized Reed-Muller Codes. CoRR abs/2305.07779 (2023) - [i25]Riccardo Rossetti, Galen Reeves:
Approximate Message Passing for the Matrix Tensor Product Model. CoRR abs/2306.15580 (2023) - 2022
- [c35]Joshua K. Behne, Galen Reeves:
Fundamental limits for rank-one matrix estimation with groupwise heteroskedasticity. AISTATS 2022: 8650-8672 - [c34]Ziv Goldfeld, Kristjan H. Greenewald, Theshani Nuradha, Galen Reeves:
$k$-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension. NeurIPS 2022 - [i24]Ziv Goldfeld, Kristjan H. Greenewald, Theshani Nuradha, Galen Reeves:
k-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension. CoRR abs/2206.08526 (2022) - 2021
- [j8]Alon Kipnis
, Galen Reeves
:
Gaussian Approximation of Quantization Error for Estimation From Compressed Data. IEEE Trans. Inf. Theory 67(8): 5562-5579 (2021) - [c33]Yixing Zhang, Xiuyuan Cheng, Galen Reeves:
Convergence of Gaussian-smoothed optimal transport distance with sub-gamma distributions and dependent samples. AISTATS 2021: 2422-2430 - [c32]Sebastian Goldt, Bruno Loureiro, Galen Reeves, Florent Krzakala
, Marc Mézard, Lenka Zdeborová:
The Gaussian equivalence of generative models for learning with shallow neural networks. MSML 2021: 426-471 - [i23]Yixing Zhang, Xiuyuan Cheng, Galen Reeves:
Convergence of Gaussian-smoothed optimal transport distance with sub-gamma distributions and dependent samples. CoRR abs/2103.00394 (2021) - [i22]Joshua K. Behne, Galen Reeves:
Rank-one matrix estimation with groupwise heteroskedasticity. CoRR abs/2106.11950 (2021) - [i21]Galen Reeves, Henry D. Pfister:
Reed-Muller Codes Achieve Capacity on BMS Channels. CoRR abs/2110.14631 (2021) - 2020
- [j7]Galen Reeves
:
A Two-Moment Inequality with Applications to Rényi Entropy and Mutual Information. Entropy 22(11): 1244 (2020) - [j6]Galen Reeves
:
Information-Theoretic Limits for the Matrix Tensor Product. IEEE J. Sel. Areas Inf. Theory 1(3): 777-798 (2020) - [c31]Jean Barbier
, Galen Reeves:
Information-theoretic limits of a multiview low-rank symmetric spiked matrix model. ISIT 2020: 2771-2776 - [i20]Alon Kipnis, Galen Reeves:
Gaussian Approximation of Quantization Error for Estimation from Compressed Data. CoRR abs/2001.03243 (2020) - [i19]Jean Barbier, Galen Reeves:
Information-theoretic limits of a multiview low-rank symmetric spiked matrix model. CoRR abs/2005.08017 (2020) - [i18]Galen Reeves:
Information-Theoretic Limits for the Matrix Tensor Product. CoRR abs/2005.11273 (2020) - [i17]Sebastian Goldt
, Galen Reeves, Marc Mézard, Florent Krzakala, Lenka Zdeborová:
The Gaussian equivalence of generative models for learning with two-layer neural networks. CoRR abs/2006.14709 (2020)
2010 – 2019
- 2019
- [j5]Galen Reeves
, Henry D. Pfister
:
The Replica-Symmetric Prediction for Random Linear Estimation With Gaussian Matrices Is Exact. IEEE Trans. Inf. Theory 65(4): 2252-2283 (2019) - [c30]Vaishakhi Mayya, Galen Reeves:
Mutual Information in Community Detection with Covariate Information and Correlated Networks. Allerton 2019: 602-607 - [c29]Galen Reeves, Jiaming Xu, Ilias Zadik:
All-or-Nothing Phenomena: From Single-Letter to High Dimensions. CAMSAP 2019: 654-658 - [c28]Heather Mathews, Vaishakhi Mayya, Alexander Volfovsky, Galen Reeves:
Gaussian Mixture Models for Stochastic Block Models with Non-Vanishing Noise. CAMSAP 2019: 699-703 - [c27]Galen Reeves, Jiaming Xu, Ilias Zadik:
The All-or-Nothing Phenomenon in Sparse Linear Regression. COLT 2019: 2652-2663 - [c26]Martín Bertrán, Natalia Martínez, Afroditi Papadaki, Qiang Qiu, Miguel R. D. Rodrigues, Galen Reeves, Guillermo Sapiro:
Adversarially Learned Representations for Information Obfuscation and Inference. ICML 2019: 614-623 - [c25]Galen Reeves, Vaishakhi Mayya, Alexander Volfovsky:
The Geometry of Community Detection via the MMSE Matrix. ISIT 2019: 400-404 - [c24]Alon Kipnis
, Galen Reeves:
Gaussian Approximation of Quantization Error for Estimation from Compressed Data. ISIT 2019: 2029-2033 - [i16]Galen Reeves, Jiaming Xu, Ilias Zadik:
The All-or-Nothing Phenomenon in Sparse Linear Regression. CoRR abs/1903.05046 (2019) - [i15]Galen Reeves, Henry D. Pfister:
Understanding Phase Transitions via Mutual Information and MMSE. CoRR abs/1907.02095 (2019) - [i14]Galen Reeves, Vaishakhi Mayya, Alexander Volfovsky:
The Geometry of Community Detection via the MMSE Matrix. CoRR abs/1907.02496 (2019) - [i13]Vaishakhi Mayya, Galen Reeves:
Mutual Information in Community Detection with Covariate Information and Correlated Networks. CoRR abs/1912.05375 (2019) - [i12]Galen Reeves, Jiaming Xu, Ilias Zadik:
All-or-Nothing Phenomena: From Single-Letter to High Dimensions. CoRR abs/1912.13027 (2019) - 2018
- [c23]Alon Kipnis
, Galen Reeves, Yonina C. Eldar:
Single Letter Formulas for Quantized Compressed Sensing with Gaussian Codebooks. ISIT 2018: 71-75 - [c22]Galen Reeves, Henry D. Pfister, Alex Dytso
:
Mutual Information as a Function of Matrix SNR for Linear Gaussian Channels. ISIT 2018: 1754-1758 - 2017
- [c21]Galen Reeves:
Additivity of information in multilayer networks via additive Gaussian noise transforms. Allerton 2017: 1064-1070 - [c20]Galen Reeves, Harry Pfister:
Decoupling in random linear estimation. CISS 2017: 1 - [c19]B. O. Mainsah, Leslie M. Collins, Galen Reeves, Chandra S. Throckmorton:
A performance-based approach to designing the stimulus presentation paradigm for the P300-based BCI by exploiting coding theory. ICASSP 2017: 3026-3030 - [c18]Galen Reeves:
Two-moment inequalities for Rényi entropy and mutual information. ISIT 2017: 664-668 - [c17]Alon Kipnis
, Galen Reeves, Yonina C. Eldar, Andrea J. Goldsmith:
Compressed sensing under optimal quantization. ISIT 2017: 2148-2152 - [c16]Galen Reeves:
Conditional central limit theorems for Gaussian projections. ISIT 2017: 3045-3049 - [i11]Vaishakhi Mayya, Boyla Mainsah, Galen Reeves:
Information-Theoretic Analysis of Refractory Effects in the P300 Speller. CoRR abs/1701.03313 (2017) - [i10]Galen Reeves:
Two-Moment Inequalities for Rényi Entropy and Mutual Information. CoRR abs/1702.07302 (2017) - [i9]Galen Reeves:
Additivity of Information in Multilayer Networks via Additive Gaussian Noise Transforms. CoRR abs/1710.04580 (2017) - 2016
- [j4]Francesco Renna
, Liming Wang, Xin Yuan
, Jianbo Yang, Galen Reeves
, A. Robert Calderbank, Lawrence Carin
, Miguel R. D. Rodrigues:
Classification and Reconstruction of High-Dimensional Signals From Low-Dimensional Features in the Presence of Side Information. IEEE Trans. Inf. Theory 62(11): 6459-6492 (2016) - [c15]Vaishakhi Mayya, Boyla Mainsah, Galen Reeves:
Information-theoretic analysis of refractory effects in the P300 speller. ACSSC 2016: 1621-1625 - [c14]Vaishakhi Mayya, Boyla Mainsah, Galen Reeves:
Modeling the P300-based brain-computer interface as a channel with memory. Allerton 2016: 23-30 - [c13]Galen Reeves, Henry D. Pfister
:
The replica-symmetric prediction for compressed sensing with Gaussian matrices is exact. ISIT 2016: 665-669 - [i8]Galen Reeves, Henry D. Pfister:
The Replica-Symmetric Prediction for Compressed Sensing with Gaussian Matrices is Exact. CoRR abs/1607.02524 (2016) - [i7]Galen Reeves:
Conditional Central Limit Theorems for Gaussian Projections. CoRR abs/1612.09252 (2016) - 2015
- [c12]Willem van den Boom, David B. Dunson, Galen Reeves:
Quantifying uncertainty in variable selection with arbitrary matrices. CAMSAP 2015: 385-388 - [c11]Francesco Renna
, Liming Wang, Xin Yuan
, Jianbo Yang, Galen Reeves, A. Robert Calderbank, Lawrence Carin
, Miguel R. D. Rodrigues:
Classification and reconstruction of compressed GMM signals with side information. ISIT 2015: 994-998 - 2014
- [c10]Galen Reeves:
The fundamental limits of stable recovery in compressed sensing. ISIT 2014: 3017-3021 - [i6]Francesco Renna, Liming Wang, Xin Yuan, Jianbo Yang, Galen Reeves, A. Robert Calderbank, Lawrence Carin, Miguel R. D. Rodrigues:
Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Noisy Features in the Presence of Side Information. CoRR abs/1412.0614 (2014) - 2013
- [j3]Galen Reeves, Michael Gastpar:
Approximate Sparsity Pattern Recovery: Information-Theoretic Lower Bounds. IEEE Trans. Inf. Theory 59(6): 3451-3465 (2013) - [c9]Galen Reeves:
Beyond sparsity: Universally stable compressed sensing when the number of 'free' values is less than the number of observations. CAMSAP 2013: 17-20 - [c8]David L. Donoho, Galen Reeves:
Achieving Bayes MMSE performance in the sparse signal + Gaussian white noise model when the noise level is unknown. ISIT 2013: 101-105 - [c7]Galen Reeves, David L. Donoho:
The minimax noise sensitivity in compressed sensing. ISIT 2013: 116-120 - 2012
- [j2]Galen Reeves, Michael Gastpar:
The Sampling Rate-Distortion Tradeoff for Sparsity Pattern Recovery in Compressed Sensing. IEEE Trans. Inf. Theory 58(5): 3065-3092 (2012) - [c6]Galen Reeves, Michael Gastpar:
Compressed sensing phase transitions: Rigorous bounds versus replica predictions. CISS 2012: 1-6 - [c5]David L. Donoho, Galen Reeves:
The sensitivity of compressed sensing performance to relaxation of sparsity. ISIT 2012: 2211-2215 - 2011
- [b1]Galen Reeves:
Sparsity Pattern Recovery in Compressed Sensing. University of California, Berkeley, USA, 2011 - [c4]Galen Reeves, Michael Gastpar:
On the role of diversity in sparsity estimation. ISIT 2011: 119-123 - [c3]Galen Reeves, Naveen Goela, Nebojsa Milosavljevic, Michael Gastpar:
A compressed sensing wire-tap channel. ITW 2011: 548-552 - [i5]Galen Reeves, Naveen Goela, Nebojsa Milosavljevic, Michael Gastpar:
A Compressed Sensing Wire-Tap Channel. CoRR abs/1105.2621 (2011) - [i4]Galen Reeves, Michael Gastpar:
On the Role of Diversity in Sparsity Estimation. CoRR abs/1107.5730 (2011) - 2010
- [c2]Galen Reeves, Michael Gastpar:
"Compressed" compressed sensing. ISIT 2010: 1548-1552 - [i3]Galen Reeves, Michael Gastpar:
"Compressed" Compressed Sensing. CoRR abs/1001.4295 (2010) - [i2]Galen Reeves, Michael Gastpar:
Approximate Sparsity Pattern Recovery: Information-Theoretic Lower Bounds. CoRR abs/1002.4458 (2010) - [i1]Galen Reeves, Michael Gastpar:
Fundamental Tradeoffs for Sparsity Pattern Recovery. CoRR abs/1006.3128 (2010)
2000 – 2009
- 2009
- [j1]Galen Reeves, Jie Liu, Suman Nath
, Feng Zhao:
Managing Massive Time Series Streams with MultiScale Compressed Trickles. Proc. VLDB Endow. 2(1): 97-108 (2009) - 2008
- [c1]Galen Reeves, Michael Gastpar:
Sampling bounds for sparse support recovery in the presence of noise. ISIT 2008: 2187-2191
Coauthor Index
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