Dror Baron

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 47

Top Venues

CoRR

IEEE Trans. Signal Process.

ISIT

IEEE Trans. Inf. Theory

Publications

Dror Baron, Hrushikesh Pramod Patil, Huiyang Zhou
Maximum Likelihood Quantum Error Mitigation for Algorithms with a Single Correct Output. CoRR (2024)
Shu-Jie Cao, Ritesh Goenka, Chau-Wai Wong, Ajit Rajwade, Dror Baron
Group Testing With Side Information via Generalized Approximate Message Passing. IEEE Trans. Signal Process. 71 (2023)
Kai Yue, Richeng Jin, Chau-Wai Wong, Dror Baron, Huaiyu Dai
Gradient Obfuscation Gives a False Sense of Security in Federated Learning. USENIX Security Symposium (2023)
Hangjin Liu, Cynthia Rush, Dror Baron
Rigorous State Evolution Analysis for Approximate Message Passing With Side Information. IEEE Trans. Inf. Theory 69 (6) (2023)
Priyank Kashyap, Prasanth Prabu Ravichandiran, Lee Wang, Dror Baron, Chau-Wai Wong, Tianfu Wu, Paul D. Franzon
Thermal Estimation for 3D-ICs Through Generative Networks. 3DIC (2023)
Kai Yue, Richeng Jin, Chau-Wai Wong, Dror Baron, Huaiyu Dai
Gradient Obfuscation Gives a False Sense of Security in Federated Learning. CoRR (2022)
Mahmoud Abdelkhalek, Dror Baron, Chau-Wai Wong
Mismatched Estimation in the Distance Geometry Problem. IEEECONF (2022)
Shu-Jie Cao, Ritesh Goenka, Chau-Wai Wong, Ajit Rajwade, Dror Baron
Group Testing with Side Information via Generalized Approximate Message Passing. CoRR (2022)
Priyank Kashyap, Archit Gajjar, Yongjin Choi, Chau-Wai Wong, Dror Baron, Tianfu Wu, Chris Cheng, Paul D. Franzon
RxGAN: Modeling High-Speed Receiver through Generative Adversarial Networks. MLCAD (2022)
Kai Yue, Richeng Jin, Ryan Pilgrim, Chau-Wai Wong, Dror Baron, Huaiyu Dai
Neural Tangent Kernel Empowered Federated Learning. ICML (2022)
Yanting Ma, Min Kang, Jack W. Silverstein, Dror Baron
Local Convergence of an AMP Variant to the LASSO Solution in Finite Dimensions. ISIT (2021)
Kai Yue, Richeng Jin, Ryan Pilgrim, Chau-Wai Wong, Dror Baron, Huaiyu Dai
Neural Tangent Kernel Empowered Federated Learning. CoRR (2021)
Ritesh Goenka, Shu-Jie Cao, Chau-Wai Wong, Ajit Rajwade, Dror Baron
Contact Tracing Enhances the Efficiency of Covid-19 Group Testing. ICASSP (2021)
Ritesh Goenka, Shu-Jie Cao, Chau-Wai Wong, Ajit Rajwade, Dror Baron
Contact Tracing Information Improves the Performance of Group Testing Algorithms. CoRR (2021)
Dror Baron, Cynthia Rush, Yavuz Yapici
mmWave Channel Estimation via Approximate Message Passing with Side Information. CoRR (2020)
Junan Zhu, Kristina Rivera, Dror Baron
Noisy Pooled PCR for Virus Testing. CoRR (2020)
Yanting Ma, Min Kang, Jack W. Silverstein, Dror Baron
Local Convergence of an AMP Variant to the LASSO Solution in Finite Dimensions. CoRR (2020)
Dror Baron, Cynthia Rush, Yavuz Yapici
mmWave Channel Estimation via Approximate Message Passing with Side Information. SPAWC (2020)
Hangjin Liu, Cynthia Rush, Dror Baron
An Analysis of State Evolution for Approximate Message Passing with Side Information. ISIT (2019)
Chethan Kumar Anjinappa, You Zhou, Yavuz Yapici, Dror Baron, Ismail Güvenç
Channel Estimation in mmWave Hybrid MIMO System via Off-Grid Dirichlet Kernels. GLOBECOM (2019)
Hangjin Liu, You Joe Zhou, Ahmad Beirami, Dror Baron
Bayesian Nonlinear Function Estimation with Approximate Message Passing. CoRR (2019)
Hangjin Liu, You Joe Zhou, Ahmad Beirami, Dror Baron
Nonlinear Function Estimation with Empirical Bayes and Approximate Message Passing. Allerton (2019)
Anna Ma, You Joe Zhou, Cynthia Rush, Dror Baron, Deanna Needell
An Approximate Message Passing Framework for Side Information. IEEE Trans. Signal Process. 67 (7) (2019)
Hangjin Liu, Cynthia Rush, Dror Baron
An Analysis of State Evolution for Approximate Message Passing with Side Information. CoRR (2019)
Yanting Ma, Cynthia Rush, Dror Baron
Analysis of Approximate Message Passing With Non-Separable Denoisers and Markov Random Field Priors. IEEE Trans. Inf. Theory 65 (11) (2019)
Yanting Ma, Cynthia Rush, Dror Baron
Analysis of Approximate Message Passing with Non-Separable Denoisers and Markov Random Field Priors. CoRR (2019)
Anna Ma, You Joe Zhou, Cynthia Rush, Dror Baron, Deanna Needell
An Approximate Message Passing Framework for Side Information. CoRR (2018)
Junan Zhu, Dror Baron
Performance Limits with Additive Error Metrics in Noisy Multi-Measurement Vector Problem. CoRR (2018)
Junan Zhu, Dror Baron
Performance Limits With Additive Error Metrics in Noisy Multimeasurement Vector Problems. IEEE Trans. Signal Process. 66 (20) (2018)
Yanting Ma, Cynthia Rush, Dror Baron
Analysis of Approximate Message Passing with a Class of Non-Separable Denoisers. CoRR (2017)
Junan Zhu, Ryan Pilgrim, Dror Baron
An overview of multi-processor approximate message passing. CISS (2017)
Yanting Ma, Yue M. Lu, Dror Baron
Multiprocessor Approximate Message Passing with Column-Wise Partitioning. CoRR (2017)
Yanting Ma, Yue M. Lu, Dror Baron
Multiprocessor approximate message passing with column-wise partitioning. ICASSP (2017)
Dror Baron, Anna Ma, Deanna Needell, Cynthia Rush, Tina Woolf
Conditional approximate message passing with side information. ACSSC (2017)
Ryan Pilgrim, Junan Zhu, Dror Baron, Waheed U. Bajwa
Generalized Geometric Programming for Rate Allocation in Consensus. CoRR (2017)
Ryan Pilgrim, Junan Zhu, Dror Baron, Waheed U. Bajwa
Generalized geometric programming for rate allocation in consensus. Allerton (2017)
Yanting Ma, Cynthia Rush, Dror Baron
Analysis of approximate message passing with a class of non-separable denoisers. ISIT (2017)
Junan Zhu, Ryan Pilgrim, Dror Baron
An Overview of Multi-Processor Approximate Message Passing. CoRR (2017)
Junan Zhu, Dror Baron, Florent Krzakala
Performance Limits for Noisy Multimeasurement Vector Problems. IEEE Trans. Signal Process. 65 (9) (2017)
Junan Zhu, Ahmad Beirami, Dror Baron
Performance trade-offs in multi-processor approximate message passing. ISIT (2016)
Puxiao Han, Junan Zhu, Ruixin Niu, Dror Baron
Multi-processor approximate message passing using lossy compression. ICASSP (2016)
Jin Tan, Yanting Ma, Hoover F. Rueda, Dror Baron, Gonzalo R. Arce
Compressive Hyperspectral Imaging via Approximate Message Passing. IEEE J. Sel. Top. Signal Process. 10 (2) (2016)
Yanting Ma, Junan Zhu, Dror Baron
Approximate Message Passing Algorithm With Universal Denoising and Gaussian Mixture Learning. IEEE Trans. Signal Process. 64 (21) (2016)
Junan Zhu, Dror Baron
Multi-Processor Approximate Message Passing with Lossy Compression. CoRR (2016)
Puxiao Han, Junan Zhu, Ruixin Niu, Dror Baron
Multi-Processor Approximate Message Passing Using Lossy Compression. CoRR (2016)
Junan Zhu, Ahmad Beirami, Dror Baron
Performance Trade-Offs in Multi-Processor Approximate Message Passing. CoRR (2016)
Junan Zhu, Dror Baron, Florent Krzakala
Performance Limits for Noisy Multi-Measurement Vector Problems. CoRR (2016)
Jin Tan, Yanting Ma, Hoover F. Rueda, Dror Baron, Gonzalo R. Arce
Approximate message passing in coded aperture snapshot spectral imaging. GlobalSIP (2015)
Yanting Ma, Dror Baron, Ahmad Beirami
Mismatched estimation in large linear systems. ISIT (2015)
Yanting Ma, Dror Baron, Ahmad Beirami
Mismatched Estimation in Large Linear Systems. CoRR (2015)
Yanting Ma, Junan Zhu, Dror Baron
Approximate Message Passing with Universal Denoising. CoRR (2015)
Junan Zhu, Dror Baron, Marco F. Duarte
Recovery From Linear Measurements With Complexity-Matching Universal Signal Estimation. IEEE Trans. Signal Process. 63 (6) (2015)
Nikhil Krishnan, Dror Baron
A Universal Parallel Two-Pass MDL Context Tree Compression Algorithm. IEEE J. Sel. Top. Signal Process. 9 (4) (2015)
Jin Tan, Yanting Ma, Dror Baron
Compressive Imaging via Approximate Message Passing With Image Denoising. IEEE Trans. Signal Process. 63 (8) (2015)
H. Joel Trussell, Dror Baron
Creating Analytic Online Homework for Digital Signal Processing [sp Education]. IEEE Signal Process. Mag. 32 (5) (2015)
Jin Tan, Yanting Ma, Hoover F. Rueda, Dror Baron, Gonzalo R. Arce
Approximate Message Passing in Coded Aperture Snapshot Spectral Imaging. CoRR (2015)
Jin Tan, Yanting Ma, Hoover F. Rueda, Dror Baron, Gonzalo R. Arce
Compressive Hyperspectral Imaging via Approximate Message Passing. CoRR (2015)
Nikhil Krishnan, Dror Baron, Mehmet Kivanç Mihçak
A parallel two-pass MDL context tree algorithm for universal source coding. ISIT (2014)
Nikhil Krishnan, Dror Baron
A Universal Parallel Two-Pass MDL Context Tree Compression Algorithm. CoRR (2014)
Nikhil Krishnan, Dror Baron
Performance of parallel two-pass MDL context tree algorithm. GlobalSIP (2014)
Yanting Ma, Junan Zhu, Dror Baron
Compressed Sensing via Universal Denoising and Approximate Message Passing. CoRR (2014)
Jin Tan, Dror Baron, Liyi Dai
Wiener Filters in Gaussian Mixture Signal Estimation With \(\ell _\infty \) -Norm Error. IEEE Trans. Inf. Theory 60 (10) (2014)
Jin Tan, Danielle Carmon, Dror Baron
Signal Estimation With Additive Error Metrics in Compressed Sensing. IEEE Trans. Inf. Theory 60 (1) (2014)
Yanting Ma, Dror Baron, Deanna Needell
Two-Part Reconstruction with Noisy-Sudocodes. CoRR (2014)
Jin Tan, Dror Baron, Liyi Dai
Signal estimation with low infinity-norm error by minimizing the mean p-norm error. CISS (2014)
Junan Zhu, Dror Baron, Marco F. Duarte
Complexity-adaptive universal signal estimation for compressed sensing. SSP (2014)
Yanting Ma, Dror Baron, Deanna Needell
Two-Part Reconstruction With Noisy-Sudocodes. IEEE Trans. Signal Process. 62 (23) (2014)
Jin Tan, Yanting Ma, Dror Baron
Compressive imaging via approximate message passing with wavelet-based image denoising. GlobalSIP (2014)
Nikhil Krishnan, Dror Baron, Mehmet Kivanç Mihçak
A Parallel Two-Pass MDL Context Tree Algorithm for Universal Source Coding. CoRR (2014)
Jin Tan, Yanting Ma, Dror Baron
Compressive Imaging via Approximate Message Passing with Image Denoising. CoRR (2014)
Yanting Ma, Jin Tan, Nikhil Krishnan, Dror Baron
Empirical Bayes and Full Bayes for Signal Estimation. CoRR (2014)
Jin Tan, Dror Baron, Liyi Dai
Wiener Filters in Gaussian Mixture Signal Estimation with Infinity-Norm Error. CoRR (2014)
Jin Tan, Dror Baron, Liyi Dai
Mixture Gaussian Signal Estimation with L_infty Error Metric CoRR (2013)
Marco F. Duarte, Michael B. Wakin, Dror Baron, Shriram Sarvotham, Richard G. Baraniuk
Measurement Bounds for Sparse Signal Ensembles via Graphical Models. IEEE Trans. Inf. Theory 59 (7) (2013)
Junan Zhu, Dror Baron
Performance Regions in Compressed Sensing from Noisy Measurements CoRR (2013)
Yanting Ma, Dror Baron, Deanna Needell
Two-Part Reconstruction in Compressed Sensing. CoRR (2013)
Yanting Ma, Dror Baron, Deanna Needell
Two-part reconstruction in compressed sensing. GlobalSIP (2013)
Jin Tan, Dror Baron
Signal reconstruction in linear mixing systems with different error metrics. ITA (2013)
Junan Zhu, Dror Baron
Performance regions in compressed sensing from noisy measurements. CISS (2013)
Jin Tan, Dror Baron
Signal reconstruction in linear mixing systems with different error metrics CoRR (2013)
Jin Tan, Danielle Carmon, Dror Baron
Optimal estimation with arbitrary error metrics in compressed sensing. SSP (2012)
Dror Baron, Theju Jacob
Variable Length Compression of Codeword Indices for Lossy Compression. IEEE Signal Process. Lett. 19 (12) (2012)
Jin Tan, Danielle Carmon, Dror Baron
Signal Estimation with Arbitrary Error Metrics in Compressed Sensing CoRR (2012)
Dror Baron, Tsachy Weissman
An MCMC Approach to Universal Lossy Compression of Analog Sources. IEEE Trans. Signal Process. 60 (10) (2012)
Dror Baron, Marco F. Duarte
Signal Recovery in Compressed Sensing via Universal Priors CoRR (2012)
Jongmin Kim, Woohyuk Chang, Bang Chul Jung, Dror Baron, Jong Chul Ye
Belief propagation for joint sparse recovery CoRR (2011)
Marco F. Duarte, Michael B. Wakin, Dror Baron, Shriram Sarvotham, Richard G. Baraniuk
Bounds on the Reconstruction of Sparse Signal Ensembles from Distributed Measurements CoRR (2011)
Dror Baron, Tsachy Weissman
An MCMC Approach to Universal Lossy Compression of Analog Sources CoRR (2011)
Danny Bickson, Dror Baron, Alexander T. Ihler, Harel Avissar, Danny Dolev
Fault Identification Via Nonparametric Belief Propagation. IEEE Trans. Signal Process. 59 (6) (2011)
Dror Baron
Information Complexity and Estimation CoRR (2011)
Dror Baron, Marco F. Duarte
Universal MAP estimation in compressed sensing. Allerton (2011)
Dror Baron, Shriram Sarvotham, Richard G. Baraniuk
Bayesian compressive sensing via belief propagation. IEEE Trans. Signal Process. 58 (1) (2010)
Dror Baron, Tsachy Weissman
An MCMC Approach to Lossy Compression of Continuous Sources. DCC (2010)
Danny Bickson, Harel Avissar, Danny Dolev, Stephen P. Boyd, Alexander T. Ihler, Dror Baron
Distributed Fault Identification via Non-parametric Belief Propagation CoRR (2009)
Dror Baron, Marco F. Duarte, Michael B. Wakin, Shriram Sarvotham, Richard G. Baraniuk
Distributed Compressive Sensing CoRR (2009)
Dongning Guo, Dror Baron, Shlomo Shamai
A single-letter characterization of optimal noisy compressed sensing. Allerton (2009)
Venkat Chandrasekaran, Michael B. Wakin, Dror Baron, Richard G. Baraniuk
Representation and Compression of Multidimensional Piecewise Functions Using Surflets. IEEE Trans. Inf. Theory 55 (1) (2009)
Yaron Rachlin, Dror Baron
The secrecy of compressed sensing measurements. Allerton (2008)
Dror Baron, Shriram Sarvotham, Richard G. Baraniuk
Bayesian Compressive Sensing via Belief Propagation CoRR (2008)
Marco F. Duarte, Michael B. Wakin, Dror Baron, Richard G. Baraniuk
Universal distributed sensing via random projections. IPSN (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dror Baron