Junan Zhu,
Statistical Physics and Information Theory Perspectives
on Linear Inverse Problems
(Ph,D, 2016;
dissertation).
Jin Tan,
Fast and Robust Compressive Signal Reconstruction
via Approximate Message
Passing and Denoising
(M.S. 2012; Ph.D. 2015;
dissertation).
Patents
D. Baron,
Y. Ma,
J. Zhu,
"Approximate message passing with universal denoising,"
US Patent 10,140,249, issued November 2018.
D. Baron,
J. Tan, and
Y. Ma,
"Compressive imaging using approximate message passing with denoising,"
US Patent 9,607,362, issued March 2017.
R. G. Baraniuk,
D. Baron,
M. F. Duarte,
K. F. Kelly,
C. C. Lane,
J. N. Laska,
D. Thakar, and
M. B. Wakin,
"Method and Apparatus for Compressive Imaging Device,"
US Patent 8,848,091, issued September 2014.
R. G. Baraniuk,
D. Baron,
M. A. Davenport,
M. F. Duarte,
M. Elnozahi, J. N. Laska,
Y. Massoud, S. Kirolos, T. Ragheb, J. A. Tropp, and
M. B. Wakin,
"Method and Apparatus for On-Line Compressed Sensing,"
US Patent 8,687,689, issued April 2014.
R. G. Baraniuk,
D. Baron,
M. F. Duarte,
I. N. Goodman, D. H. Johnson, K. F. Kelly,
C. C. Lane, J. N. Laska, D. Takhar, and
M. B. Wakin,
"Method and Apparatus for Compressive Imaging Device,"
US Patent 8,199,244, issued June 12, 2012.
S.-J. Cao
R. Goenka,
C.-W. Wong, A. Rajwade, and D. Baron, "Group Testing with Side Information via Generalized Approximate Message Passing,"
to appear in IEEE. Trans. Signal Proc., June 2023 (arxiv).
H. Liu,
C. Rush, and
D. Baron,
"Rigorous State Evolution Analysis for Approximate Message Passing with Side Information,"
to appear in IEEE Trans. Inf. Theory, November 2022
(arxiv).
Y. Ma,
C. Rush, and
D. Baron,
"Analysis of Approximate Message Passing with Non-Separable Denoisers and
Markov Random Field Priors," to appear in IEEE Trans. Inf. Theory, August 2019
(arxiv).
A. Ma,
Y. Zhou,
C. Rush,
D. Baron, and
D. Needell,
"An Approximate Message Passing Framework for Side Information,"
IEEE Trans. Signal Proc., vol. 67, no. 7, pp. 1875-1888, Apr. 2019
(arxiv).
J. Zhu and
D. Baron,
"Performance Limits with Additive Error Metrics in Noisy Multi-Measurement Vector Problems,"
IEEE Trans. Signal Proc., vol. 66, no. 20, pp. 5338-5348, Oct. 2018
(arxiv).
J. Zhu,
D. Baron, and
F. Krzakala,
"Performance Limits for Noisy Multi-Measurement Vector Problems,"
to appear in IEEE Trans. Signal Process.
(pdf,
arxiv),
January 2017.
Y. Ma,
J. Zhu, and
D. Baron,
"Approximate Message Passing Algorithm with Universal Denoising
and Gaussian Mixture Learning,"
IEEE Trans. Signal Proc.,
vol. 64, no. 21, pp. 5611-5622, Nov. 2016
(pdf,
arxiv,
tutorial video).
J. Tan,
Y. Ma,
H. Rueda,
D. Baron, and
G. Arce,
"Compressive Hyperspectral Imaging via Approximate Message Passing,"
IEEE J. Sel. Topics Signal Process,
vol. 10, no. 2, pp. 389-401, March 2016.
(pdf,
arxiv,
tutorial video).
H. J. Trussell and
D. Baron
"Creating Analytic Online Homework for Digital
Signal Processing,"
IEEE Signal Proc. Mag., vol. 32, no. 5,
pp. 112-118, Sept. 2015
(pdf).
N. Krishnan and
D. Baron,
"A Universal Parallel Two-Pass MDL
Context Tree Compression Algorithm,"
IEEE J. Sel. Topics Signal Process.,
vol. 9, no. 4, pp. 1-8, June 2015
(pdf,
arxiv,
tutorial video).
J. Tan,
Y. Ma, and
D. Baron,
"Compressive Imaging via Approximate
Message Passing with Image Denoising,"
IEEE Trans. Signal Proc., vol. 63, no. 8, pp. 2085-2092,
April 2015
(pdf,
arxiv,
tutorial video).
J. Zhu,
D. Baron, and
M. F. Duarte,
"Recovery from Linear Measurements with Complexity-Matching
Universal Signal Estimation,"
IEEE Trans. Signal Proc., vol. 63, no. 6, pp. 1512-1527,
March 2015
(arxiv,
pdf,
Matlab,
tutorial video).
Y. Ma,
D. Baron, and
D. Needell,
"Two-Part Reconstruction with Noisy-Sudocodes,"
IEEE Trans. Signal Proc., vol. 62, no. 23, pp. 6323-6334,
December 2014
(pdf,
arxiv,
software).
J. Tan, D. Baron, and L. Dai, "Wiener Filters in Gaussian
Mixture Signal Estimation with l∞-Norm Error," IEEE Trans. Inf.
Theory, vol. 60, no. 10, pp. 6626-6635, October 2014
(pdf,
arxiv).
J. Tan,
D. Carmon, and D. Baron,
"Signal Estimation with Additive Error Metrics in Compressed
Sensing,"
IEEE Trans. Inf. Theory, vol. 60, no. 1, pp. 150-158,
January 2014
(pdf,
arxiv,
software,
tutorial video).
D. Baron and
T. Jacob.
"Variable Length Compression of Codeword Indices for Lossy Compression,"
IEEE Signal Process. Let.,
vol. 19, no. 12, pp.849-852, December 2012
(pdf).
D. Baron,
H. P. Patil, and
H. Zhou,
"Maximum Likelihood Quantum Error Mitigation for Algorithms with a Single Correct Output,"
presented at Inf. Theory Applications Workshop,
San Diego, CA, February 2024
(arxiv,
slides).
P. Kashyap, P. P. Ravichandiran, L. Wang, D. Baron, C.-W. Wong,
T. Wu, and P. Franzon,
"Thermal Estimation for 3D-ICs through Generative Networks,"
IEEE Int. 3D Systems Integration Conf.,
2023.
K. Yue,
R. Jin,
C.-W. Wong,
D. Baron, and
H. Dai,
"Gradient obfuscation gives a false sense of security in federated learning," USENIX Security Symposium, August 2023
(arxiv,
slides).
K. Yue,
R. Jin,
R. Pilgrim,
C.-W. Wong,
D. Baron, and
H. Dai,
"Neural Tangent Kernel Empowered Federated Learning,"
Int. Conf. Machine Learning, Baltimore, MD, June 2022
(arxiv).
P. Kashyap,
Y. Choi,
S. Dey,
C.-W. Wong,
D. Baron,
C. Cheng,
T. Wu, and
P. D. Franzon,
"Modeling of Adaptive Receiver Performance Generative Adversarial Networks,"
IEEE Electrical Components and Technology Conference (ECTC),
San Diego, June 2022
(pdf).
P. Kashyap,
W. S. Pitts,
D. Baron,
C.-W. Wong,
T. Wu, and
P. D. Franzon,
"High Speed Receiver Modeling Using Generative Adversarial Networks,"
IEEE 30th Conf. Electrical Perf. Electronic Packaging & Systems (EPEPS), Oct. 2021
(pdf).
Y. Ma,
M. Kang,
J. Silverstein, and
D. Baron,
"Local Convergence of an AMP Variant to the LASSO Solution in Finite Dimensions,"
Proc. Int. Symp. Inf. Theory (ISIT), Melbourne, Australia, July 2021
(arxiv).
R. Goenka,
S. Cao,
C.-W. Wong,
A. Rajwade, and
D. Baron,
"Contact Tracing Enhances the Efficiency of COVID-19 Group Testing,"
to appear in Conf. Inf. Sciences & Systems (CISS), March 2021.
R. Goenka,
S. Cao,
C.-W. Wong,
A. Rajwade, and
D. Baron,
"Contact Tracing Enhances the Efficiency of COVID-19 Group Testing,"
to appear in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Process.
(ICASSP), June 2021
(pdf,
arxiv).
D. Baron,
C. Rush, and
Y. Yapici,
"mmWave Channel Estimation via Approximate Message Passing with Side Information,"
IEEE SPAWC, May 2020
(arxiv,
slides).
C. K. Anjinappa,
Y. Zhou,
Y. Yapici,
D. Baron, and
I. Guvenc,
"Channel Estimation in mmWave Hybrid MIMO System via Off-Grid Dirichlet Kernels,"
in Proc. IEEE Globecom 2019, Waikoloa, HI, Dec. 2019
(arxiv).
H. Liu,
Y. Zhou,
A. Beirami, and
D. Baron,
"Nonlinear Function Estimation with Empirical Bayes and Approximate Message Passing,"
Proc. 57th Allerton Conf. Communication, Control, and Computing,
Monticello, IL, September 2019
(pdf,
slides,
arxiv).
H. Liu,
C. Rush, and
D. Baron,
"An Analysis of State Evolution for Approximate
Message Passing with Side Information"
Proc. Int. Symp. Inf. Theory (ISIT), Paris, France, July 2019
(pdf,
full version,
arxiv,
slides).
H. Liu,
C. Rush, and
D. Baron,
"State Evolution Analysis of Approximate Message Passing with Side Information,"
Conf. Inf. Sciences & Systems (CISS), Baltimore, MD,
March 2019
(slides).
C. Rush and
D. Baron,
"Signal Reconstruction with Side Information,"
presented at Inf. Theory Applications Workshop,
San Diego, CA, February 2018
(slides).
D. Baron,
A. Ma,
D. Needell,
C. Rush, and
T. Woolf,
"Conditional Approximate Message Passing with Side Information,"
Proc. Asilomar Conf. Signals, Systems, and Computers,
Pacific Grove, CA, Nov. 2017
(pdf).
R. Pilgrim,
J. Zhu,
D. Baron, and
W. Bajwa,
"Generalized Geometric Programming for Rate Allocation in Consensus,"
Proc. 52d Allerton Conf. Communication, Control, and Computing,
Monticello, IL, Oct. 2017
(pdf).
Y. Ma,
C. Rush, and
D. Baron,
"Analysis of Approximate Message Passing with a Class of Non-Separable Denoisers,"
Proc. Int. Symp. Inf. Theory (ISIT),
Aachen, Germany, June 2017
(arxiv).
J. Zhu,
R. Pilgrim,
D. Baron,
"An Overview of Multi-Processor Approximate Message Passing,"
to appear in Proc. 51st Annual Conf. Inf. Sciences and Systems
(CISS2017), Baltimore, MD, March 2017
(pdf,
arxiv).
Y. Ma,
Y. M. Lu, and
D. Baron,
"Multiprocessor Approximate Message Passing with Column-Wise Partitioning,"
to appear in
Proc. Int. Conf. Acoustics, Speech, and Signal Process. (ICASSP2017),
New Orleans, LA, March 2017
(arxiv,
poster).
J. Zhu,
A. Beirami, and
D. Baron,
"Performance Trade-Offs in Multi-Processor Approximate Message Passing,"
IEEE Int. Symp. Inf. Theory (ISIT),
Barcelona, Spain, July 2016
(pdf,
slides,
arxiv).
P. Han,
J. Zhu,
R. Niu, and
D. Baron,
"Multi-Processor Approximate Message Passing Using Lossy Compression,"
Proc. Int. Conf. Acoustics, Speech, and Signal Process. (ICASSP2016),
Shanghai, China, March 2016
(pdf,
arxiv,
poster).
J. Zhu,
P. Han,
R. Niu,
A. Beirami, and
D. Baron,
"Large-Scale Multi-Processor Approximate Message Passing
with Lossy Compression,"
presented at Inf. Theory Applications Workshop,
San Diego, CA, February 2016
(slides).
J. Tan,
Y. Ma,
H. Rueda,
D. Baron, and
G. Arce,
"Approximate Message Passing in Coded Aperture Snapshot Spectral Imaging,"
Proc. IEEE Global Conf. Signal Inf. Process., Orlando, FL, Dec. 2015
(pdf,
talk,
arxiv).
R. Fayez, J. Young,
J. Tan,
Y. Ma, and
D. Baron,
"Image Reconstriction in Radio Astronomy,"
Duke Workshop on Sensing and Analysis of High-Dimensional Data,
Durham, NC, July 2015
(poster; no paper).
Y. Ma,
J. Zhu, and
D. Baron,
"Universal Denoising in Approximate Message Passing,"
Duke Workshop on Sensing and Analysis of High-Dimensional Data,
Durham, NC, July 2015
(poster; no paper).
Y. Ma,
D. Baron, and
A. Beirami,
"Mismatched Estimation in Large Linear Systems,"
Proc. IEEE Int. Symp. Inf. Theory,
Hong Kong, June 2015
(pdf,
talk,
arxiv).
Y. Ma,
J. Zhu, and
D. Baron,
"Universal Denoising and Approximate Message Passing,"
presented at Inf. Theory Applications Workshop,
San Diego, CA, February 2015
(talk).
N. Krishnan and
D. Baron,
"Performance of Parallel Two-Pass MDL
Context Tree Algorithm,"
Proc. IEEE Global Conf. Signal Inf. Process.,
Atlanta, GA, December 2014
(pdf,
poster).
J. Tan,
Y. Ma, and
D. Baron,
"Compressive Imaging via Approximate Message
Passing with Wavelet-Based Image Denoising,"
Proc. IEEE Global Conf. Signal Inf. Process.,
Atlanta, GA, December 2014
(pdf,
talk).
Y. Ma,
J. Zhu, and
D. Baron,
"Compressed Sensing via Universal Denoising
and Approximate Message Passing,"
Proc. 52d Allerton Conf. Communication, Control, and Computing,
Monticello, IL, October 2014
(pdf,
talk,
arxiv).
J. Zhu,
D. Baron, and
M. F. Duarte,
"Complexity-Adaptive Universal Signal Estimation for Compressed Sensing,"
IEEE Stat. Signal Process. Workshop, Gold Coast, Australia, June 2014
(pdf,
poster).
N. Krishnan,
D. Baron,
and M. K. Mihcak,
"A Parallel Two-Pass MDL Context Tree Algorithm for Universal Source Coding,"
IEEE Int. Symp. Inf. Theory, Honolulu, HI, June 2014
(pdf,
arxiv).
J. Tan,
D. Baron,
and L. Dai,
"Signal Estimation with Low Infinity-Norm Error
by Minimizing the Mean p-Norm Error,"
Conf. Inf. Sciences Systems, Princeton, NJ, March 2014
(pdf,
slides).
Y. Ma,
J. Tan,
N. Krishnan, and
D. Baron,
"Signal Estimation with Mixtures,"
Inf. Theory Applications Workshop,
San Diego, CA, February 2014
(talk,
related arxiv technical report).
J. Zhu and
D. Baron,
"Performance Regions in Compressed Sensing from Noisy Measurements,"
Conf. Inf. Sciences Systems, Baltimore, MD, March 2013
(pdf,
talk).
J. Tan,
D. Carmon,
and D. Baron,
"Optimal Estimation with Arbitrary Error Metrics in Compressed Sensing,"
IEEE Stat. Signal Process. Workshop,
Ann Arbor, MI, August 2012
(pdf,
software).
D. Guo,
D. Baron, and
S. Shamai,
"A Single-letter Characterization of Optimal
Noisy Compressed Sensing,"
Proc. 47th Allerton Conf. Communication,
Control, and Computing,
Monticello, IL, September 2009
(ppt,
pdf,
Nuit Blanche blog entry).
Y. Rachlin and
D. Baron,
"The Secrecy of Compressive Sensing Measurements,"
Proc. 46th Allerton Conf. Communication,
Control, and Computing,
Monticello, IL, September 2008
(pdf,
ppt).
S. Kirolos,
J. N. Laska,
M. B. Wakin,
M. F. Duarte,
D. Baron,
T. Ragheb, Y. Massoud,
and R. G. Baraniuk,
"Analog-to-Information Conversion via Random Demodulation,"
Proc. IEEE Dallas Circuits Systems Workshop
(DCAS), Dallas, TX, October 2006 (pdf).
S. Sarvotham,
D. Baron,
and R. G. Baraniuk,
"Measurements vs. Bits: Compressed Sensing meets Information Theory,"
Proc. 44th Allerton Conf. Communication,
Control, and Computing,
Monticello, IL, September 2006
(talk,
pdf).
S. Sarvotham,
D. Baron,
and R. G. Baraniuk,
"Sudocodes - Fast Measurement and Reconstruction of Sparse Signals,"
2006 IEEE Int. Symp. Inf. Theory
(ISIT2006), Seattle, WA, July 2006
(pdf).
M. F. Duarte,
M. B. Wakin,
D. Baron,
and R. G. Baraniuk,
"Universal Distributed Sensing via Random Projections,"
Proc. Symp. Inf. Process. Sensor Networks
(IPSN2006), Nashville, TN, April 2006
(pdf).
D. Baron,
S. Sarvotham,
and R. G. Baraniuk,
"Coding vs. Packet Retransmission over Noisy Channels,"
Proc. 40th Annual Conf. Inf. Sciences and
Systems (CISS2006), Princeton, NJ, March 2006
(pdf).
D. Takhar,
J. N. Laska,
M. B. Wakin,
M. F. Duarte,
D. Baron,
S. Sarvotham,
K. F. Kelly,
and R. G. Baraniuk,
"A New Compressive Imaging Camera Architecture using Optical-Domain Compression,"
SPIE Electronic Imaging,
San Jose, CA, pp. 43-52, January 2006
(pdf).
M. F. Duarte,
S. Sarvotham,
M. B. Wakin,
D. Baron,
and R. G. Baraniuk,
"Joint Sparsity Models for Distributed Compressed Sensing,"
Online Proc. Workshop Signal Process. with
Adaptive Sparse Structured Representations (SPARS),
Rennes, France, November 2005.
S. Sarvotham,
D. Baron,
and R. G. Baraniuk,
"Variable-Rate Universal Slepian-Wolf Coding with Feedback,"
Proc. 39th Asilomar Conf. Signals, Systems, and
Computers,
Pacific Grove, CA, November 2005
(pdf).
D. Baron,
M. F. Duarte,
S. Sarvotham,
M. B. Wakin,
and R. G. Baraniuk,
"An Information-Theoretic Approach to Distributed Compressed Sensing,"
Proc. 43d Allerton Conf. Communication,
Control, and Computing,
Monticello, IL, September 2005
(pdf).
S. Sarvotham,
D. Baron,
and R. G. Baraniuk,
"Variable-Rate Coding with Feedback for Universal Communication Systems,"
Proc. 43d Allerton Conf. Communication,
Control, and Computing,
Monticello, IL, September 2005
(pdf).
S. Sarvotham,
D. Baron,
and R. G. Baraniuk,
"Non-Asymptotic Performance of Symmetric Slepian-Wolf Coding,"
Proc. 39th Annual Conf. Inf. Sciences and
Systems (CISS2005), Baltimore, MD, March 2005
(pdf).
D. Baron,
M. A. Khojastepour,
and R. G. Baraniuk,
"How Quickly Can We Approach Channel Capacity?,"
Proc. 38th Asilomar Conf. Signals, Systems, and
Computers,
Pacific Grove, CA, November 2004
(pdf).
D. Baron,
M. A. Khojastepour,
and R. G. Baraniuk,
"Redundancy Rates of Slepian-Wolf Coding,"
Proc. 42d Allerton Conf. Communication,
Control, and Computing,
Monticello, IL, September 2004
(pdf).
V. Chandrasekaran,
M. B. Wakin,
D. Baron,
and R. G. Baraniuk,
"Surflets: A Sparse Representation for Multidimensional Functions
Containing Smooth Discontinuities,"
2004 IEEE Int. Symp. Inf. Theory
(ISIT2004), Chicago, IL, June 2004
(pdf).
D. Baron,
A. C. Singer,
and R. G. Baraniuk,
"Probability Assignments with Worst-Case Coding Length Constraints,"
Proc. 38th Annual Conf. Inf. Sciences and
Systems (CISS2004), Princeton, NJ, March 2004
(pdf).
V. Chandrasekaran,
M. B. Wakin,
D. Baron,
and R. G. Baraniuk,
"Compression of Higher Dimensional Functions Containing Smooth
Discontinuities,"
Proc. 38th Annual Conf. Inf. Sciences and
Systems (CISS2004), Princeton, NJ, March 2004
(pdf).
D. Baron,
Y. Bresler,
and M. K. Mihcak,
"Two-Part Codes with Low Worst-Case Redundancies for
Distributed Compression of Bernoulli Sequences,"
Proc. 37th Annual Conf. Inf. Sciences and Systems
(CISS2003),
Baltimore, MD, March 2003
(ps,
pdf).
D. Baron and
Y. Bresler,
"Linear Complexity MDL Universal Coding with the BWT,"
presented at the recent results session at the
IEEE Int. Symp. Inf. Theory
(ISIT 2001),
Washington, DC, June 2001.
D. Baron and
Y. Bresler,
"Tree Source Identification with the Burrows Wheeler Transform,"
Proc. 34th Annual Conf. Inf. Sciences and Systems
(CISS 2000),
Princeton, NJ, vol. 2, pp. FA1-10-FA1-15, March 2000.
(ps,
pdf).
D. Baron and
Y. Birk,
"On the use of Multiple Working Points in Multichannel ALOHA
with Deadlines,"
Proc. 37th Allerton Conf. Communication, Control, and Computing,
Monticello IL, pp. 728-737, September 1999.
(ps,
pdf).
M. F. Duarte,
S. Sarvotham,
M. B. Wakin,
D. Baron,
and R. G. Baraniuk,
"Theoretical Performace Limits for Jointly Sparse Signals via Graphical Models,"
Technical Report ECE-0802,
Electrical and Computer Engineering Department,
Rice University, July 2008
(pdf).
D. Baron,
M. B. Wakin,
M. F. Duarte,
S. Sarvotham,
and R. G. Baraniuk,
"Distributed Compressed Sensing,"
Technical Report ECE-0612,
Electrical and Computer Engineering Department,
Rice University, December 2006
(pdf).
Note that this is the original submitted version of
the journal paper.
S. Sarvotham,
D. Baron, and
R. G. Baraniuk,
"Compressed Sensing Reconstruction via Belief Propagation,"
Technical Report ECE-0601,
Electrical and Computer Engineering Department,
Rice University, July 2006
(pdf).
S. Sarvotham,
M. B. Wakin,
D. Baron,
M. F. Duarte, and
R. G. Baraniuk,
"Analysis of the DCS One-Stage Greedy Algorithm for Common Sparse
Supports,"
Technical Report ECE-05-03,
Electrical and Computer Engineering Department,
Rice University, October 2005
(pdf).
V. Chandrasekaran,
M. B. Wakin,
D. Baron,
and R. G. Baraniuk,
"Compressing Piecewise Smooth Multidimensional Functions Using
Surflets: Rate-Distortion Analysis,"
Technical report,
Electrical and Computer Engineering Department,
Rice University, March 2004
(pdf).
D. Baron and
Y. Bresler,
"Linear Complexity MDL Universal Coding with the BWT,"
Technical report UILU-ENG-01-2213,
Coordinated Science Laboratory, University of Illinois,
June 2001.
D. Baron and
Y. Birk,
"On the merits of impure multi-copy schemes for
multi-channel slotted ALOHA with deadlines,"
Technical report EE Pub 1249, also CCIT Report 315,
Electrical Engineering
Department,
Technion - Israel Institute of
Technology, Haifa Israel, June 2000
(ps,
pdf).
This report studies impure (non-deterministic) policies in
multicopy ALOHA; the results obtained are not appealing.