Dror Baron

Orcid: 0000-0002-6371-8496

According to our database1, Dror Baron authored at least 88 papers between 2001 and 2024.

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Bibliography

2024
Maximum Likelihood Quantum Error Mitigation for Algorithms with a Single Correct Output.
CoRR, 2024

2023
Rigorous State Evolution Analysis for Approximate Message Passing With Side Information.
IEEE Trans. Inf. Theory, June, 2023

Group Testing With Side Information via Generalized Approximate Message Passing.
IEEE Trans. Signal Process., 2023

Gradient Obfuscation Gives a False Sense of Security in Federated Learning.
Proceedings of the 32nd USENIX Security Symposium, 2023

Thermal Estimation for 3D-ICs Through Generative Networks.
Proceedings of the IEEE International 3D Systems Integration Conference, 2023

2022
RxGAN: Modeling High-Speed Receiver through Generative Adversarial Networks.
Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 2022

Neural Tangent Kernel Empowered Federated Learning.
Proceedings of the International Conference on Machine Learning, 2022

Mismatched Estimation in the Distance Geometry Problem.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Contact Tracing Information Improves the Performance of Group Testing Algorithms.
CoRR, 2021

Local Convergence of an AMP Variant to the LASSO Solution in Finite Dimensions.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Contact Tracing Enhances the Efficiency of Covid-19 Group Testing.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Noisy Pooled PCR for Virus Testing.
CoRR, 2020

mmWave Channel Estimation via Approximate Message Passing with Side Information.
Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

2019
An Approximate Message Passing Framework for Side Information.
IEEE Trans. Signal Process., 2019

Analysis of Approximate Message Passing With Non-Separable Denoisers and Markov Random Field Priors.
IEEE Trans. Inf. Theory, 2019

Bayesian Nonlinear Function Estimation with Approximate Message Passing.
CoRR, 2019

An Analysis of State Evolution for Approximate Message Passing with Side Information.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Channel Estimation in mmWave Hybrid MIMO System via Off-Grid Dirichlet Kernels.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Nonlinear Function Estimation with Empirical Bayes and Approximate Message Passing.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
Performance Limits With Additive Error Metrics in Noisy Multimeasurement Vector Problems.
IEEE Trans. Signal Process., 2018

Performance Limits with Additive Error Metrics in Noisy Multi-Measurement Vector Problem.
CoRR, 2018

2017
Performance Limits for Noisy Multimeasurement Vector Problems.
IEEE Trans. Signal Process., 2017

Analysis of approximate message passing with a class of non-separable denoisers.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Multiprocessor approximate message passing with column-wise partitioning.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

An overview of multi-processor approximate message passing.
Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017

Generalized geometric programming for rate allocation in consensus.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

Conditional approximate message passing with side information.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Approximate Message Passing Algorithm With Universal Denoising and Gaussian Mixture Learning.
IEEE Trans. Signal Process., 2016

Compressive Hyperspectral Imaging via Approximate Message Passing.
IEEE J. Sel. Top. Signal Process., 2016

Performance Limits for Noisy Multi-Measurement Vector Problems.
CoRR, 2016

Multi-Processor Approximate Message Passing with Lossy Compression.
CoRR, 2016

Performance trade-offs in multi-processor approximate message passing.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Multi-processor approximate message passing using lossy compression.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Recovery From Linear Measurements With Complexity-Matching Universal Signal Estimation.
IEEE Trans. Signal Process., 2015

Compressive Imaging via Approximate Message Passing With Image Denoising.
IEEE Trans. Signal Process., 2015

Creating Analytic Online Homework for Digital Signal Processing [sp Education].
IEEE Signal Process. Mag., 2015

A Universal Parallel Two-Pass MDL Context Tree Compression Algorithm.
IEEE J. Sel. Top. Signal Process., 2015

Approximate Message Passing with Universal Denoising.
CoRR, 2015

Mismatched estimation in large linear systems.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Approximate message passing in coded aperture snapshot spectral imaging.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2014
Two-Part Reconstruction With Noisy-Sudocodes.
IEEE Trans. Signal Process., 2014

Signal Estimation With Additive Error Metrics in Compressed Sensing.
IEEE Trans. Inf. Theory, 2014

Wiener Filters in Gaussian Mixture Signal Estimation With \(\ell _\infty \) -Norm Error.
IEEE Trans. Inf. Theory, 2014

Wiener Filters in Gaussian Mixture Signal Estimation with Infinity-Norm Error.
CoRR, 2014

Compressed Sensing via Universal Denoising and Approximate Message Passing.
CoRR, 2014

Empirical Bayes and Full Bayes for Signal Estimation.
CoRR, 2014

Complexity-adaptive universal signal estimation for compressed sensing.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

A parallel two-pass MDL context tree algorithm for universal source coding.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Compressive imaging via approximate message passing with wavelet-based image denoising.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Performance of parallel two-pass MDL context tree algorithm.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Signal estimation with low infinity-norm error by minimizing the mean p-norm error.
Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014

2013
Measurement Bounds for Sparse Signal Ensembles via Graphical Models.
IEEE Trans. Inf. Theory, 2013

Mixture Gaussian Signal Estimation with L_infty Error Metric
CoRR, 2013

Signal reconstruction in linear mixing systems with different error metrics.
Proceedings of the 2013 Information Theory and Applications Workshop, 2013

Two-part reconstruction in compressed sensing.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Performance regions in compressed sensing from noisy measurements.
Proceedings of the 47th Annual Conference on Information Sciences and Systems, 2013

2012
An MCMC Approach to Universal Lossy Compression of Analog Sources.
IEEE Trans. Signal Process., 2012

Variable Length Compression of Codeword Indices for Lossy Compression.
IEEE Signal Process. Lett., 2012

Signal Estimation with Arbitrary Error Metrics in Compressed Sensing
CoRR, 2012

Signal Recovery in Compressed Sensing via Universal Priors
CoRR, 2012

Optimal estimation with arbitrary error metrics in compressed sensing.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

2011
Fault Identification Via Nonparametric Belief Propagation.
IEEE Trans. Signal Process., 2011

Information Complexity and Estimation
CoRR, 2011

Belief propagation for joint sparse recovery
CoRR, 2011

Bounds on the Reconstruction of Sparse Signal Ensembles from Distributed Measurements
CoRR, 2011

Universal MAP estimation in compressed sensing.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010
Bayesian compressive sensing via belief propagation.
IEEE Trans. Signal Process., 2010

An MCMC Approach to Lossy Compression of Continuous Sources.
Proceedings of the 2010 Data Compression Conference (DCC 2010), 2010

2009
Representation and Compression of Multidimensional Piecewise Functions Using Surflets.
IEEE Trans. Inf. Theory, 2009

Distributed Fault Identification via Non-parametric Belief Propagation
CoRR, 2009

Distributed Compressive Sensing
CoRR, 2009

A single-letter characterization of optimal noisy compressed sensing.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008
The secrecy of compressed sensing measurements.
Proceedings of the 46th Annual Allerton Conference on Communication, 2008

2006
Faster sequential universal coding via block partitioning.
IEEE Trans. Inf. Theory, 2006

Sudocodes ߝ Fast Measurement and Reconstruction of Sparse Signals.
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

Universal distributed sensing via random projections.
Proceedings of the Fifth International Conference on Information Processing in Sensor Networks, 2006

An Architecture for Compressive Imaging.
Proceedings of the International Conference on Image Processing, 2006

Random Filters for Compressive Sampling and Reconstruction.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Coding vs. Packet Retransmission over Noisy Channels.
Proceedings of the 40th Annual Conference on Information Sciences and Systems, 2006

A new compressive imaging camera architecture using optical-domain compression.
Proceedings of the Computational Imaging IV, San Jose, 2006

2005
Antisequential Suffix Sorting for BWT-Based Data Compression.
IEEE Trans. Computers, 2005

Recovery of Jointly Sparse Signals from Few Random Projections.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004
An O(N) semipredictive universal encoder via the BWT.
IEEE Trans. Inf. Theory, 2004

Surflets: a sparse representation for multidimensional functions containing smooth discontinuities.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

2003
Fast Parallel Algorithms for Universal Lossless Source Coding
PhD thesis, 2003

2002
Multiple Working Points in Multichannel ALOHA with Deadlines.
Wirel. Networks, 2002

Coding schemes for multislot messages in multichannel ALOHA with deadlines.
IEEE Trans. Wirel. Commun., 2002

2001
On the cost of worst case coding length constraints.
IEEE Trans. Inf. Theory, 2001


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