Galen Reeves

Orcid: 0000-0003-4230-0688

According to our database1, Galen Reeves authored at least 52 papers between 2008 and 2024.

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Bibliography

2024
Reed-Muller Codes on BMS Channels Achieve Vanishing Bit-Error Probability for all Rates Below Capacity.
IEEE Trans. Inf. Theory, February, 2024

2023
Approximate Message Passing for the Matrix Tensor Product Model.
CoRR, 2023

Achieving Capacity on Non-Binary Channels with Generalized Reed-Muller Codes.
Proceedings of the IEEE International Symposium on Information Theory, 2023

2022
$k$-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fundamental limits for rank-one matrix estimation with groupwise heteroskedasticity.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Gaussian Approximation of Quantization Error for Estimation From Compressed Data.
IEEE Trans. Inf. Theory, 2021

Reed-Muller Codes Achieve Capacity on BMS Channels.
CoRR, 2021

Rank-one matrix estimation with groupwise heteroskedasticity.
CoRR, 2021

The Gaussian equivalence of generative models for learning with shallow neural networks.
Proceedings of the Mathematical and Scientific Machine Learning, 2021

Convergence of Gaussian-smoothed optimal transport distance with sub-gamma distributions and dependent samples.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

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

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

The Gaussian equivalence of generative models for learning with two-layer neural networks.
CoRR, 2020

Information-theoretic limits of a multiview low-rank symmetric spiked matrix model.
Proceedings of the IEEE International Symposium on Information Theory, 2020

2019
The Replica-Symmetric Prediction for Random Linear Estimation With Gaussian Matrices Is Exact.
IEEE Trans. Inf. Theory, 2019

Understanding Phase Transitions via Mutual Information and MMSE.
CoRR, 2019

The Geometry of Community Detection via the MMSE Matrix.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Adversarially Learned Representations for Information Obfuscation and Inference.
Proceedings of the 36th International Conference on Machine Learning, 2019

The All-or-Nothing Phenomenon in Sparse Linear Regression.
Proceedings of the Conference on Learning Theory, 2019

All-or-Nothing Phenomena: From Single-Letter to High Dimensions.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Gaussian Mixture Models for Stochastic Block Models with Non-Vanishing Noise.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Mutual Information in Community Detection with Covariate Information and Correlated Networks.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
Mutual Information as a Function of Matrix SNR for Linear Gaussian Channels.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Single Letter Formulas for Quantized Compressed Sensing with Gaussian Codebooks.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017
Conditional central limit theorems for Gaussian projections.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Two-moment inequalities for Rényi entropy and mutual information.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Compressed sensing under optimal quantization.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

A performance-based approach to designing the stimulus presentation paradigm for the P300-based BCI by exploiting coding theory.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Decoupling in random linear estimation.
Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017

Additivity of information in multilayer networks via additive Gaussian noise transforms.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
Classification and Reconstruction of High-Dimensional Signals From Low-Dimensional Features in the Presence of Side Information.
IEEE Trans. Inf. Theory, 2016

The replica-symmetric prediction for compressed sensing with Gaussian matrices is exact.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Modeling the P300-based brain-computer interface as a channel with memory.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Information-theoretic analysis of refractory effects in the P300 speller.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Classification and reconstruction of compressed GMM signals with side information.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Quantifying uncertainty in variable selection with arbitrary matrices.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Noisy Features in the Presence of Side Information.
CoRR, 2014

The fundamental limits of stable recovery in compressed sensing.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2013
Approximate Sparsity Pattern Recovery: Information-Theoretic Lower Bounds.
IEEE Trans. Inf. Theory, 2013

The minimax noise sensitivity in compressed sensing.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Achieving Bayes MMSE performance in the sparse signal + Gaussian white noise model when the noise level is unknown.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Beyond sparsity: Universally stable compressed sensing when the number of 'free' values is less than the number of observations.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012
The Sampling Rate-Distortion Tradeoff for Sparsity Pattern Recovery in Compressed Sensing.
IEEE Trans. Inf. Theory, 2012

The sensitivity of compressed sensing performance to relaxation of sparsity.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Compressed sensing phase transitions: Rigorous bounds versus replica predictions.
Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012

2011
Sparsity Pattern Recovery in Compressed Sensing.
PhD thesis, 2011

A compressed sensing wire-tap channel.
Proceedings of the 2011 IEEE Information Theory Workshop, 2011

On the role of diversity in sparsity estimation.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

2010
Fundamental Tradeoffs for Sparsity Pattern Recovery
CoRR, 2010

"Compressed" compressed sensing.
Proceedings of the IEEE International Symposium on Information Theory, 2010

2009
Managing Massive Time Series Streams with MultiScale Compressed Trickles.
Proc. VLDB Endow., 2009

2008
Sampling bounds for sparse support recovery in the presence of noise.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008


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