Sampling bounds for sparse support recovery in the presence of noise. - Galen Reeves; Michael Gastpar (ISIT, 2008)

Managing Massive Time Series Streams with MultiScale Compressed Trickles. - Galen Reeves; Jie Liu 001; Suman Nath; Feng Zhao 001 (Proc. VLDB Endow., 2009)

"Compressed" compressed sensing. - Galen Reeves; Michael Gastpar (ISIT, 2010)

Fundamental Tradeoffs for Sparsity Pattern Recovery - Galen Reeves; Michael Gastpar (CoRR, 2010)

On the role of diversity in sparsity estimation. - Galen Reeves; Michael Gastpar (ISIT, 2011)

A compressed sensing wire-tap channel. - Galen Reeves; Naveen Goela; Nebojsa Milosavljevic; Michael Gastpar (ITW, 2011)

Sparsity Pattern Recovery in Compressed Sensing. - Galen Reeves (2011)

Compressed sensing phase transitions: Rigorous bounds versus replica predictions. - Galen Reeves; Michael Gastpar (CISS, 2012)

The sensitivity of compressed sensing performance to relaxation of sparsity. - David L. Donoho; Galen Reeves (ISIT, 2012)

The Sampling Rate-Distortion Tradeoff for Sparsity Pattern Recovery in Compressed Sensing. - Galen Reeves; Michael Gastpar (IEEE Trans. Inf. Theory, 2012)

Beyond sparsity: Universally stable compressed sensing when the number of 'free' values is less than the number of observations. - Galen Reeves (CAMSAP, 2013)

Achieving Bayes MMSE performance in the sparse signal + Gaussian white noise model when the noise level is unknown. - David L. Donoho; Galen Reeves (ISIT, 2013)

The minimax noise sensitivity in compressed sensing. - Galen Reeves; David L. Donoho (ISIT, 2013)

Approximate Sparsity Pattern Recovery: Information-Theoretic Lower Bounds. - Galen Reeves; Michael Gastpar (IEEE Trans. Inf. Theory, 2013)

The fundamental limits of stable recovery in compressed sensing. - Galen Reeves (ISIT, 2014)

Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Noisy Features in the Presence of Side Information. - Francesco Renna; Liming Wang 004; Xin Yuan 002; Jianbo Yang; Galen Reeves; A. Robert Calderbank; Lawrence Carin; Miguel R. D. Rodrigues (CoRR, 2014)

Quantifying uncertainty in variable selection with arbitrary matrices. - Willem van den Boom; David B. Dunson; Galen Reeves (CAMSAP, 2015)

Classification and reconstruction of compressed GMM signals with side information. - Francesco Renna; Liming Wang 004; Xin Yuan 002; Jianbo Yang; Galen Reeves; A. Robert Calderbank; Lawrence Carin; Miguel R. D. Rodrigues (ISIT, 2015)

Information-theoretic analysis of refractory effects in the P300 speller. - Vaishakhi Mayya; Boyla Mainsah; Galen Reeves (ACSSC, 2016)

Modeling the P300-based brain-computer interface as a channel with memory. - Vaishakhi Mayya; Boyla Mainsah; Galen Reeves (Allerton, 2016)

The replica-symmetric prediction for compressed sensing with Gaussian matrices is exact. - Galen Reeves; Henry D. Pfister (ISIT, 2016)

Classification and Reconstruction of High-Dimensional Signals From Low-Dimensional Features in the Presence of Side Information. - Francesco Renna; Liming Wang 004; Xin Yuan 002; Jianbo Yang; Galen Reeves; A. Robert Calderbank; Lawrence Carin; Miguel R. D. Rodrigues (IEEE Trans. Inf. Theory, 2016)

Additivity of information in multilayer networks via additive Gaussian noise transforms. - Galen Reeves (Allerton, 2017)

Decoupling in random linear estimation. - Galen Reeves; Harry Pfister (CISS, 2017)

A performance-based approach to designing the stimulus presentation paradigm for the P300-based BCI by exploiting coding theory. - B. O. Mainsah; Leslie M. Collins; Galen Reeves; Chandra S. Throckmorton (ICASSP, 2017)

Compressed sensing under optimal quantization. - Alon Kipnis; Galen Reeves; Yonina C. Eldar; Andrea J. Goldsmith (ISIT, 2017)

Two-moment inequalities for Rényi entropy and mutual information. - Galen Reeves (ISIT, 2017)

Conditional central limit theorems for Gaussian projections. - Galen Reeves (ISIT, 2017)

Single Letter Formulas for Quantized Compressed Sensing with Gaussian Codebooks. - Alon Kipnis; Galen Reeves; Yonina C. Eldar (ISIT, 2018)

Mutual Information as a Function of Matrix SNR for Linear Gaussian Channels. - Galen Reeves; Henry D. Pfister; Alex Dytso (ISIT, 2018)

Mutual Information in Community Detection with Covariate Information and Correlated Networks. - Vaishakhi Mayya; Galen Reeves (Allerton, 2019)

Gaussian Mixture Models for Stochastic Block Models with Non-Vanishing Noise. - Heather Mathews; Vaishakhi Mayya; Alexander Volfovsky; Galen Reeves (CAMSAP, 2019)

All-or-Nothing Phenomena: From Single-Letter to High Dimensions. - Galen Reeves; Jiaming Xu 002; Ilias Zadik (CAMSAP, 2019)

The All-or-Nothing Phenomenon in Sparse Linear Regression. - Galen Reeves; Jiaming Xu 002; Ilias Zadik (COLT, 2019)

Adversarially Learned Representations for Information Obfuscation and Inference. - Martín Bertrán; Natalia Martínez; Afroditi Papadaki; Qiang Qiu 001; Miguel R. D. Rodrigues; Galen Reeves; Guillermo Sapiro (ICML, 2019)

The Geometry of Community Detection via the MMSE Matrix. - Galen Reeves; Vaishakhi Mayya; Alexander Volfovsky (ISIT, 2019)

Understanding Phase Transitions via Mutual Information and MMSE. - Galen Reeves; Henry D. Pfister (CoRR, 2019)

The Replica-Symmetric Prediction for Random Linear Estimation With Gaussian Matrices Is Exact. - Galen Reeves; Henry D. Pfister (IEEE Trans. Inf. Theory, 2019)

Information-theoretic limits of a multiview low-rank symmetric spiked matrix model. - Jean Barbier; Galen Reeves (ISIT, 2020)

The Gaussian equivalence of generative models for learning with two-layer neural networks. - Sebastian Goldt; Galen Reeves; Marc Mézard; Florent Krzakala; Lenka Zdeborová (CoRR, 2020)

A Two-Moment Inequality with Applications to Rényi Entropy and Mutual Information. - Galen Reeves (Entropy, 2020)

Information-Theoretic Limits for the Matrix Tensor Product. - Galen Reeves (IEEE J. Sel. Areas Inf. Theory, 2020)

Convergence of Gaussian-smoothed optimal transport distance with sub-gamma distributions and dependent samples. - Yixing Zhang; Xiuyuan Cheng; Galen Reeves (AISTATS, 2021)

The Gaussian equivalence of generative models for learning with shallow neural networks. - Sebastian Goldt; Bruno Loureiro; Galen Reeves; Florent Krzakala; Marc Mézard; Lenka Zdeborová (MSML, 2021)

Rank-one matrix estimation with groupwise heteroskedasticity. - Joshua K. Behne; Galen Reeves (CoRR, 2021)

Reed-Muller Codes Achieve Capacity on BMS Channels. - Galen Reeves; Henry D. Pfister (CoRR, 2021)

Gaussian Approximation of Quantization Error for Estimation From Compressed Data. - Alon Kipnis; Galen Reeves (IEEE Trans. Inf. Theory, 2021)

Fundamental limits for rank-one matrix estimation with groupwise heteroskedasticity. - Joshua K. Behne; Galen Reeves (AISTATS, 2022)

$k$-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension. - Ziv Goldfeld; Kristjan H. Greenewald; Theshani Nuradha; Galen Reeves (NeurIPS, 2022)

Achieving Capacity on Non-Binary Channels with Generalized Reed-Muller Codes. - Galen Reeves; Henry D. Pfister (ISIT, 2023)

Approximate Message Passing for the Matrix Tensor Product Model. - Riccardo Rossetti; Galen Reeves (CoRR, 2023)

Linear Operator Approximate Message Passing: Power Method with Partial and Stochastic Updates. - Riccardo Rossetti; Bobak Nazer; Galen Reeves (ISIT, 2024)

Linear Operator Approximate Message Passing (OpAMP). - Riccardo Rossetti; Bobak Nazer; Galen Reeves (CoRR, 2024)

Reed-Muller Codes on BMS Channels Achieve Vanishing Bit-Error Probability for all Rates Below Capacity. - Galen Reeves; Henry D. Pfister (IEEE Trans. Inf. Theory, 2024)

Information-Theoretic Proofs for Diffusion Sampling. - Galen Reeves; Henry D. Pfister (CoRR, 2025)

Capacity on BMS Channels via Code Symmetry and Nesting. - Henry D. Pfister; Galen Reeves (CoRR, 2025)

What happens when generative AI models train recursively on each others' generated outputs? - Hung Ahn Vu; Galen Reeves; Emily Wenger (CoRR, 2025)

Statistical Limits for Finite-Rank Tensor Estimation. - Riccardo Rossetti; Galen Reeves (CoRR, 2025)