Galen Reeves

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 53

Top Venues

CoRR

ISIT

IEEE Trans. Inf. Theory

CAMSAP

University of California, Berkeley, USA (PHD)

Education History

University of California, Berkeley, USA

PHD

Publications

Riccardo Rossetti, Bobak Nazer, Galen Reeves
Linear Operator Approximate Message Passing (OpAMP). CoRR (2024)
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) (2024)
Galen Reeves, Henry D. Pfister
Achieving Capacity on Non-Binary Channels with Generalized Reed-Muller Codes. ISIT (2023)
Riccardo Rossetti, Galen Reeves
Approximate Message Passing for the Matrix Tensor Product Model. CoRR (2023)
Galen Reeves, Henry D. Pfister
Achieving Capacity on Non-Binary Channels with Generalized Reed-Muller Codes. CoRR (2023)
Joshua K. Behne, Galen Reeves
Fundamental limits for rank-one matrix estimation with groupwise heteroskedasticity. AISTATS (2022)
Ziv Goldfeld, Kristjan H. Greenewald, Theshani Nuradha, Galen Reeves
$k$-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension. NeurIPS (2022)
Ziv Goldfeld, Kristjan H. Greenewald, Theshani Nuradha, Galen Reeves
k-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension. CoRR (2022)
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)
Alon Kipnis, Galen Reeves
Gaussian Approximation of Quantization Error for Estimation From Compressed Data. IEEE Trans. Inf. Theory 67 (8) (2021)
Joshua K. Behne, Galen Reeves
Rank-one matrix estimation with groupwise heteroskedasticity. CoRR (2021)
Yixing Zhang, Xiuyuan Cheng, Galen Reeves
Convergence of Gaussian-smoothed optimal transport distance with sub-gamma distributions and dependent samples. CoRR (2021)
Yixing Zhang, Xiuyuan Cheng, Galen Reeves
Convergence of Gaussian-smoothed optimal transport distance with sub-gamma distributions and dependent samples. AISTATS (2021)
Galen Reeves, Henry D. Pfister
Reed-Muller Codes Achieve Capacity on BMS Channels. CoRR (2021)
Galen Reeves
Information-Theoretic Limits for the Matrix Tensor Product. CoRR (2020)
Galen Reeves
Information-Theoretic Limits for the Matrix Tensor Product. IEEE J. Sel. Areas Inf. Theory 1 (3) (2020)
Sebastian Goldt, Galen Reeves, Marc Mézard, Florent Krzakala, Lenka Zdeborová
The Gaussian equivalence of generative models for learning with two-layer neural networks. CoRR (2020)
Galen Reeves
A Two-Moment Inequality with Applications to Rényi Entropy and Mutual Information. Entropy 22 (11) (2020)
Jean Barbier, Galen Reeves
Information-theoretic limits of a multiview low-rank symmetric spiked matrix model. CoRR (2020)
Alon Kipnis, Galen Reeves
Gaussian Approximation of Quantization Error for Estimation from Compressed Data. CoRR (2020)
Jean Barbier, Galen Reeves
Information-theoretic limits of a multiview low-rank symmetric spiked matrix model. ISIT (2020)
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)
Alon Kipnis, Galen Reeves
Gaussian Approximation of Quantization Error for Estimation from Compressed Data. ISIT (2019)
Galen Reeves, Vaishakhi Mayya, Alexander Volfovsky
The Geometry of Community Detection via the MMSE Matrix. CoRR (2019)
Vaishakhi Mayya, Galen Reeves
Mutual Information in Community Detection with Covariate Information and Correlated Networks. CoRR (2019)
Galen Reeves, Jiaming Xu, Ilias Zadik
The All-or-Nothing Phenomenon in Sparse Linear Regression. COLT (2019)
Galen Reeves, Henry D. Pfister
Understanding Phase Transitions via Mutual Information and MMSE. CoRR (2019)
Galen Reeves, Jiaming Xu, Ilias Zadik
All-or-Nothing Phenomena: From Single-Letter to High Dimensions. CAMSAP (2019)
Galen Reeves, Henry D. Pfister
The Replica-Symmetric Prediction for Random Linear Estimation With Gaussian Matrices Is Exact. IEEE Trans. Inf. Theory 65 (4) (2019)
Galen Reeves, Vaishakhi Mayya, Alexander Volfovsky
The Geometry of Community Detection via the MMSE Matrix. ISIT (2019)
Galen Reeves, Jiaming Xu, Ilias Zadik
The All-or-Nothing Phenomenon in Sparse Linear Regression. CoRR (2019)
Galen Reeves, Jiaming Xu, Ilias Zadik
All-or-Nothing Phenomena: From Single-Letter to High Dimensions. CoRR (2019)
Vaishakhi Mayya, Galen Reeves
Mutual Information in Community Detection with Covariate Information and Correlated Networks. Allerton (2019)
Heather Mathews, Vaishakhi Mayya, Alexander Volfovsky, Galen Reeves
Gaussian Mixture Models for Stochastic Block Models with Non-Vanishing Noise. CAMSAP (2019)
Alon Kipnis, Galen Reeves, Yonina C. Eldar
Single Letter Formulas for Quantized Compressed Sensing with Gaussian Codebooks. ISIT (2018)
Galen Reeves, Henry D. Pfister, Alex Dytso
Mutual Information as a Function of Matrix SNR for Linear Gaussian Channels. ISIT (2018)
Galen Reeves
Additivity of information in multilayer networks via additive Gaussian noise transforms. Allerton (2017)
Galen Reeves
Additivity of Information in Multilayer Networks via Additive Gaussian Noise Transforms. CoRR (2017)
Galen Reeves
Two-moment inequalities for Rényi entropy and mutual information. ISIT (2017)
Galen Reeves, Harry Pfister
Decoupling in random linear estimation. CISS (2017)
Vaishakhi Mayya, Boyla Mainsah, Galen Reeves
Information-Theoretic Analysis of Refractory Effects in the P300 Speller. CoRR (2017)
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)
Alon Kipnis, Galen Reeves, Yonina C. Eldar, Andrea J. Goldsmith
Compressed sensing under optimal quantization. ISIT (2017)
Galen Reeves
Conditional central limit theorems for Gaussian projections. ISIT (2017)
Galen Reeves
Two-Moment Inequalities for Rényi Entropy and Mutual Information. CoRR (2017)
Vaishakhi Mayya, Boyla Mainsah, Galen Reeves
Information-theoretic analysis of refractory effects in the P300 speller. ACSSC (2016)
Galen Reeves, Henry D. Pfister
The replica-symmetric prediction for compressed sensing with Gaussian matrices is exact. ISIT (2016)
Galen Reeves
Conditional Central Limit Theorems for Gaussian Projections. CoRR (2016)
Vaishakhi Mayya, Boyla Mainsah, Galen Reeves
Modeling the P300-based brain-computer interface as a channel with memory. Allerton (2016)
Galen Reeves, Henry D. Pfister
The Replica-Symmetric Prediction for Compressed Sensing with Gaussian Matrices is Exact. CoRR (2016)
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) (2016)
Willem van den Boom, David B. Dunson, Galen Reeves
Quantifying uncertainty in variable selection with arbitrary matrices. CAMSAP (2015)
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)
Galen Reeves
The fundamental limits of stable recovery in compressed sensing. ISIT (2014)
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 (2014)
Galen Reeves, David L. Donoho
The minimax noise sensitivity in compressed sensing. ISIT (2013)
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)
Galen Reeves, Michael Gastpar
Approximate Sparsity Pattern Recovery: Information-Theoretic Lower Bounds. IEEE Trans. Inf. Theory 59 (6) (2013)
Galen Reeves
Beyond sparsity: Universally stable compressed sensing when the number of 'free' values is less than the number of observations. CAMSAP (2013)
Galen Reeves, Michael Gastpar
The Sampling Rate-Distortion Tradeoff for Sparsity Pattern Recovery in Compressed Sensing. IEEE Trans. Inf. Theory 58 (5) (2012)
Galen Reeves, Michael Gastpar
Compressed sensing phase transitions: Rigorous bounds versus replica predictions. CISS (2012)
David L. Donoho, Galen Reeves
The sensitivity of compressed sensing performance to relaxation of sparsity. ISIT (2012)
Galen Reeves, Naveen Goela, Nebojsa Milosavljevic, Michael Gastpar
A Compressed Sensing Wire-Tap Channel CoRR (2011)
Galen Reeves, Naveen Goela, Nebojsa Milosavljevic, Michael Gastpar
A compressed sensing wire-tap channel. ITW (2011)
Galen Reeves, Michael Gastpar
On the Role of Diversity in Sparsity Estimation CoRR (2011)
Galen Reeves, Michael Gastpar
On the role of diversity in sparsity estimation. ISIT (2011)
Galen Reeves, Michael Gastpar
Fundamental Tradeoffs for Sparsity Pattern Recovery CoRR (2010)
Galen Reeves, Michael Gastpar
"Compressed" compressed sensing. ISIT (2010)
Galen Reeves, Michael Gastpar
"Compressed" Compressed Sensing CoRR (2010)
Galen Reeves, Michael Gastpar
Approximate Sparsity Pattern Recovery: Information-Theoretic Lower Bounds CoRR (2010)
Galen Reeves, Jie Liu, Suman Nath, Feng Zhao
Managing Massive Time Series Streams with MultiScale Compressed Trickles. Proc. VLDB Endow. 2 (1) (2009)
Galen Reeves, Michael Gastpar
Sampling bounds for sparse support recovery in the presence of noise. ISIT (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Galen Reeves