Richard G. Baraniuk

发表

NuMax: A Convex Approach for Learning Near-Isometric Linear Embeddings

Chinmay Hegde, Aswin C. Sankaranarayanan, Wotao Yin, 2015, IEEE Transactions on Signal Processing.

MOOC Adventures in Signal Processing: Bringing DSP to the era of massive open online courses

Richard G. Baraniuk, Martin Vetterli, Thomas A. Baran, 2016, IEEE Signal Processing Magazine.

Wigner-based formulation of the chirplet transform

Douglas L. Jones, Richard G. Baraniuk, Richard Baraniuk, 1996, IEEE Trans. Signal Process..

Network traffic modeling using connection-level information

Richard G. Baraniuk, Xin Wang, Shriram Sarvotham, 2002, SPIE ITCom.

RankMap: A Platform-Aware Framework for Distributed Learning from Dense Datasets pdf

Farinaz Koushanfar, Richard G. Baraniuk, Azalia Mirhoseini, 2015, ArXiv.

Sparse Signal Recovery and Acquisition with Graphical Models

Volkan Cevher, Piotr Indyk, Richard G. Baraniuk, 2010, IEEE Signal Processing Magazine.

Multiscale Image Disparity Estimation using the Quaternion Wavelet Transform

Richard G. Baraniuk, Wai Lam Chan, Hyeokho Choi, 2006, 2006 International Conference on Image Processing.

Diagnostic Questions: The NeurIPS 2020 Education Challenge pdf

Zichao Wang, Simon Woodhead, Simon Peyton Jones, 2020, ArXiv.

Optimal ranking of test items using the Rasch model

Richard G. Baraniuk, Divyanshu Vats, Andrew S. Lan, 2016, 2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Sequentially designed compressed sensing

Robert D. Nowak, Richard G. Baraniuk, Jarvis D. Haupt, 2012, 2012 IEEE Statistical Signal Processing Workshop (SSP).

Multiscale image segmentation using joint texture and shape analysis

Justin K. Romberg, Richard G. Baraniuk, Rudolf H. Riedi, 2000, SPIE Optics + Photonics.

Random Projections for Manifold Learning

Chinmay Hegde, Richard G. Baraniuk, Michael B. Wakin, 2007, NIPS.

Recovery guarantees for restoration and separation of approximately sparse signals

Richard G. Baraniuk, Christoph Studer, 2011, 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Pseudo affine Wigner distributions

Richard G. Baraniuk, Paulo Gonçalves, Richard Baraniuk, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Compressive sensing of a superposition of pulses

Chinmay Hegde, Richard G. Baraniuk, Richard Baraniuk, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Multiscale queuing analysis of long-range-dependent network traffic

Richard G. Baraniuk, Rudolf H. Riedi, Vinay J. Ribeiro, 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

Active Learning for Undirected Graphical Model Selection

Robert D. Nowak, Richard G. Baraniuk, Divyanshu Vats, 2014, AISTATS.

A Probabilistic Framework for Deep Learning

Richard G. Baraniuk, Ankit B. Patel, Minh Tan Nguyen, 2016, NIPS.

Instantaneous Frequency Estimation Using the Reassignment Method

Richard G. Baraniuk, Jan E. Odegard, Kurt L Oehler, 1997 .

Distributed target localization via spatial sparsity

Volkan Cevher, Richard G. Baraniuk, Marco F. Duarte, 2008, 2008 16th European Signal Processing Conference.

Information and complexity on the time-frequency plane

Richard G. Baraniuk, Patrick Flandrin, Olivier Michel, 1993 .

FlatCam: Thin, Bare-Sensor Cameras using Coded Aperture and Computation pdf

Aswin C. Sankaranarayanan, Richard G. Baraniuk, Ashok Veeraraghavan, 2015, ArXiv.

Asymptotic Analysis of Complex LASSO via Complex Approximate Message Passing (CAMP)

Richard G. Baraniuk, Arian Maleki, Zai Yang, 2011, IEEE Transactions on Information Theory.

Interpolation and denoising of nonuniformly sampled data using wavelet-domain processing

Richard G. Baraniuk, Hyeokho Choi, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Quaternion wavelets for image analysis and processing

Richard G. Baraniuk, Wai Lam Chan, Hyeokho Choi, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Introduction to the Issue on Compressive Sensing

Yonina C. Eldar, Richard G. Baraniuk, Mário A. T. Figueiredo, 2010, IEEE J. Sel. Top. Signal Process..

Spectral Optimization for Communication in the Presence of Crosstalk

Richard G. Baraniuk, Rohit V. Gaikwad, 1999 .

Estimating a Common Period for a Set of Irregularly Sampled Functions with Applications to Periodic Variable Star Data

Richard G. Baraniuk, James P. Long, Eric C. Chi, 2014, 1412.6520.

Optimal sampling strategies for multiscale models with application to network traffic estimation

Richard G. Baraniuk, Rudolf H. Riedi, Vinay J. Ribeiro, 2003, IEEE Workshop on Statistical Signal Processing, 2003.

Multiscale wedgelet image analysis: fast decompositions and modeling

Justin K. Romberg, Richard G. Baraniuk, Michael B. Wakin, 2002, Proceedings. International Conference on Image Processing.

Approximation and compression of piecewise smooth images using a wavelet/wedgelet geometric model

Justin K. Romberg, Richard G. Baraniuk, Michael B. Wakin, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals

Justin K. Romberg, Richard G. Baraniuk, Joel A. Tropp, 2009, IEEE Transactions on Information Theory.

Shear madness: new orthonormal bases and frames using chirp functions

Douglas L. Jones, Richard G. Baraniuk, 1993, IEEE Trans. Signal Process..

Lifting for non-linear image processing

Richard G. Baraniuk, Wim Sweldens, Roger L. Claypoole, 1999 .

A simple proof that random matrices are democratic pdf

Richard G. Baraniuk, Petros Boufounos, Mark A. Davenport, 2009, ArXiv.

Compressive Sensing for Background Subtraction

Volkan Cevher, Rama Chellappa, Dikpal Reddy, 2008, ECCV.

A bit-constrained sar adc for compressive acquisition of frequency sparse signals

Charles K. Sestok, Richard G. Baraniuk, Andrew E. Waters, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Practical Issues inImplementing Analog-to-Inform ation Converters

Richard G. Baraniuk, Saini Kirolos, 2008 .

Hybrid linear/bilinear time-scale analysis

Richard G. Baraniuk, Paulo Gonçalves, Martin Pasquier, 1999, IEEE Trans. Signal Process..

Drawing early-bird tickets: Towards more efficient training of deep networks pdf

Yue Wang, Chaojian Li, Yingyan Lin, 2019, ICLR.

Lattice algorithms for compression color space estimation in JPEG images

Richard G. Baraniuk, Ricardo L. de Queiroz, Ramesh Neelamani, 2001, IWCIA.

TCP-Africa: an adaptive and fair rapid increase rule for scalable TCP

Richard G. Baraniuk, Rudolf H. Riedi, R. King, 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

LIE operators for compressive sensing

Chinmay Hegde, Aswin C. Sankaranarayanan, Richard G. Baraniuk, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Wavelet-domain approximation and compression of piecewise smooth images

Justin K. Romberg, Richard G. Baraniuk, Michael B. Wakin, 2006, IEEE Transactions on Image Processing.

The STOne Transform: Multi-Resolution Image Enhancement and Compressive Video

Richard G. Baraniuk, Tom Goldstein, Lina Xu, 2015, IEEE Transactions on Image Processing.

Minimum Complexity Pursuit for Universal Compressed Sensing

Richard G. Baraniuk, Arian Maleki, Shirin Jalali, 2012, IEEE Transactions on Information Theory.

A single pixel camera based on compressed sensing

Richard G. Baraniuk, Marco F. Duarte, Kevin F. Kelly, 2006 .

Distributed Sensing and Processing for Multi-Camera Networks

Rama Chellappa, Aswin C. Sankaranarayanan, Richard G. Baraniuk, 2011 .

Fast reconstruction of piecewise smooth signals from random projections

Richard G. Baraniuk, Michael B. Wakin, Marco F. Duarte, 2005 .

Compressive Sensing for Video Applications

Aswin C. Sankaranarayanan, Richard G. Baraniuk, Ashok Veeraraghavan, 2014 .

A radially-Gaussian, signal-dependent time-frequency representation

Douglas L. Jones, Richard G. Baraniuk, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

Wavelet soft-thresholding of time-frequency representations

Richard G. Baraniuk, Richard Baraniuk, 1994, Proceedings of 1st International Conference on Image Processing.

Least favorable compressed sensing problems for first-order methods

Richard G. Baraniuk, Arian Maleki, 2011, 2011 IEEE International Symposium on Information Theory Proceedings.

Compressive Sensing

Aswin C. Sankaranarayanan, Richard G. Baraniuk, Richard Baraniuk, 2008, Computer Vision, A Reference Guide.

Marginals vs. covariance in joint distribution theory

Richard G. Baraniuk, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

Real Time Wavelet-Based ATR Project

Richard G. Baraniuk, Raymond Wells, 2000 .

A Bayesian Perspective of Convolutional Neural Networks through a Deconvolutional Generative Model

Michael I. Jordan, Richard G. Baraniuk, Anima Anandkumar, 2018, 1811.02657.

Democracy in Action: Quantization, Saturation, and Compressive Sensing

Richard G. Baraniuk, Petros T. Boufounos, Mark A. Davenport, 2011 .

SPRITE : A Data-Driven Response Model For Multiple Choice Questions

Richard G. Baraniuk, Christoph Studer, Andrew S. Lan, 2016 .

Distributed Compressive Sensing pdf

Richard G. Baraniuk, Michael B. Wakin, Shriram Sarvotham, 2009, ArXiv.

Out-of-Distribution Detection Using Neural Rendering Generative Models pdf

Richard G. Baraniuk, Anima Anandkumar, Yujia Huang, 2019, ArXiv.

Conveying language through haptics: a multi-sensory approach

Ali Israr, Marcia Kilchenman O'Malley, Richard G. Baraniuk, 2018, UbiComp.

Wavelet-domain regularized deconvolution for ill-conditioned systems

Richard G. Baraniuk, Hyeokho Choi, Ramesh Neelamani, 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

Special Issue on Educational Technology

Richard G. Baraniuk, Douglas B. Williams, 2008 .

Statistical signal processing using wavelet-domain hidden Markov models

Richard G. Baraniuk, Robert Nowak, M. S. Crouse, 1997, Optics & Photonics.

Surflets: a sparse representation for multidimensional functions containing smooth discontinuities

Venkat Chandrasekaran, Richard G. Baraniuk, Michael B. Wakin, 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..

Rate-distortion optimized image compression using wedgelets

Justin K. Romberg, Richard G. Baraniuk, Michael B. Wakin, 2002, Proceedings. International Conference on Image Processing.

Blind Error-Free Detection of Transform-Domainwatermarks

Richard G. Baraniuk, Mona A. Sheikh, Richard Baraniuk, 2007, 2007 IEEE International Conference on Image Processing.

Sketched covariance testing: A compression-statistics tradeoff

Parikshit Shah, Richard G. Baraniuk, Gautam Dasarathy, 2017, 2017 IEEE International Symposium on Information Theory (ISIT).

Signal-dependent time-frequency analysis using a radially Gaussian kernel

Douglas L. Jones, Richard G. Baraniuk, Richard Baraniuk, 1993, Signal Process..

Random Projections of Smooth Manifolds

Richard G. Baraniuk, Michael B. Wakin, Richard Baraniuk, 2009, Found. Comput. Math..

Compression color space estimation of JPEG images using lattice basis reduction

Richard G. Baraniuk, Ricardo L. de Queiroz, Ramesh Neelamani, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

prDeep: Robust Phase Retrieval with Flexible Deep Neural Networks pdf

Richard G. Baraniuk, Ashok Veeraraghavan, Philip Schniter, 2018, ICML 2018.

Near-optimal Bayesian localization via incoherence and sparsity

Volkan Cevher, Richard G. Baraniuk, Petros Boufounos, 2009, 2009 International Conference on Information Processing in Sensor Networks.

Pseudo affine Wigner distributions: definition and kernel formulation

Richard G. Baraniuk, Paulo Gonçalves, Richard Baraniuk, 1998, IEEE Trans. Signal Process..

The compressive multiplexer for multi-channel compressive sensing

Richard G. Baraniuk, Mark A. Davenport, Jason N. Laska, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sparsity and Structure in Hyperspectral Imaging : Sensing, Reconstruction, and Target Detection

Richard G. Baraniuk, Rebecca Willett, Marco F. Duarte, 2014, IEEE Signal Processing Magazine.

Compressive Video Acquisition, Fusion and Processing

Rama Chellappa, Richard G. Baraniuk, Michael B. Wakin, 2010 .

A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery

Richard G. Baraniuk, Gautam Dasarathy, Ali Mousavi, 2019, International Conference on Learning Representations.

Multiscale image segmentation using wavelet-domain hidden Markov models

Richard G. Baraniuk, Hyeokho Choi, Richard Baraniuk, 2001, IEEE Trans. Image Process..

VLSI Design of Approximate Message Passing for Signal Restoration and Compressive Sensing

Richard G. Baraniuk, Arian Maleki, Andreas Peter Burg, 2012, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

Insense: Incoherent Sensor Selection for Sparse Signals

Richard G. Baraniuk, Andrew S. Lan, Mohammad Golbabaee, 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Neurally plausible sparse coding via competitive algorithms

Richard G. Baraniuk, Bruno A. Olshausen, Don H. Johnson, 2007 .

Wavelet-domain hidden Markov models for signal detection and classification

Richard G. Baraniuk, Robert Nowak, K. Mhirsi, 1997, Optics & Photonics.

Wearing A Mask: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels pdf

Zichao Wang, Richard G. Baraniuk, Ahmed Imtiaz Humayun, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Additive and multiplicative mixture trees for network traffic modeling

Xin Wang, Richard G. Baraniuk, Shriram Sarvotham, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

An Architecture for Compressive Imaging

Richard G. Baraniuk, Michael B. Wakin, Shriram Sarvotham, 2006, 2006 International Conference on Image Processing.

Model-based inverse halftoning with wavelet-vaguelette deconvolution

Robert D. Nowak, Richard G. Baraniuk, Ramesh Neelamani, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

Data-Mining Textual Responses to Uncover Misconception Patterns

Richard G. Baraniuk, Andrew S. Lan, Joshua J. Michalenko, 2017, EDM.

Overcomplete Frame Thresholding for Acoustic Scene Analysis pdf

Richard G. Baraniuk, Ankit B. Patel, Randall Balestriero, 2017, ArXiv.

Open online platforms advancing DSP education

Richard G. Baraniuk, Elizabeth J. Marsh, John P. Slavinsky, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Contextual multi-armed bandit algorithms for personalized learning action selection

Richard G. Baraniuk, Andrew S. Lan, Indu Manickam, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Hybrid linear/quadratic time-frequency attributes

Richard G. Baraniuk, Mark Coates, Philippe Steeghs, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

A geometric hidden Markov tree wavelet model

Justin K. Romberg, Richard G. Baraniuk, Michael B. Wakin, 2003, SPIE Optics + Photonics.

JPEG compression history estimation for color images

Richard G. Baraniuk, Ricardo L. de Queiroz, Zhigang Fan, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Time-varying learning and content analytics via sparse factor analysis

Richard G. Baraniuk, Andrew S. Lan, Christoph Studer, 2013, KDD.

Locating available bandwidth bottlenecks

Richard G. Baraniuk, Rudolf H. Riedi, Vinay J. Ribeiro, 2004, IEEE Internet Computing.

SPIN: Iterative signal recovery on incoherent manifolds

Chinmay Hegde, Richard G. Baraniuk, Richard Baraniuk, 2012, 2012 IEEE International Symposium on Information Theory Proceedings.

Advanced time-frequency signal and system analysis

Boualem Boashash, Gerald Matz, Richard G. Baraniuk, 2015 .

Swapping Variables for High-Dimensional Sparse Regression from Correlated Measurements pdf

Richard G. Baraniuk, Divyanshu Vats, Richard Baraniuk, 2013, ArXiv.

An adaptive optimal-kernel time-frequency representation

Douglas L. Jones, Richard G. Baraniuk, Richard Baraniuk, 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Multiple wavelet basis image denoising using Besov ball projections

Richard G. Baraniuk, Hyeokho Choi, Richard Baraniuk, 2004, IEEE Signal Processing Letters.

Distributed Multiscale Data Analysis and Processing for Sensor Networks

Richard G. Baraniuk, Shriram Sarvotham, Hyeokho Choi, 2005 .

A Spline Theory of Deep Networks

Richard G. Baraniuk, Randall Balestriero, Richard Baraniuk, 2018, ICML.

Multiscale nature of network traffic

Richard G. Baraniuk, Patrice Abry, Patrick Flandrin, 2002, IEEE Signal Process. Mag..

Brain-inspired Robust Vision using Convolutional Neural Networks with Feedback

Richard G. Baraniuk, Anima Anandkumar, Pinglei Bao, 2019 .

Matrix recovery from quantized and corrupted measurements

Richard G. Baraniuk, Andrew S. Lan, Christoph Studer, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Compressive sensing: A new approach to seismic data acquisition

Richard G. Baraniuk, Philippe Steeghs, Richard Baraniuk, 2017 .

Transmit Spectra Adaptive to Noise and Interference at Activation for HDSL2

Richard G. Baraniuk, Rohit V. Gaikwad, 1998 .

Coherent inverse scattering via transmission matrices: Efficient phase retrieval algorithms and a public dataset

Richard G. Baraniuk, Ashok Veeraraghavan, Manoj Kumar Sharma, 2017, 2017 IEEE International Conference on Computational Photography (ICCP).

Orthogonal Hilbert transform filter banks and wavelets

Thierry Blu, Richard G. Baraniuk, Martin Vetterli, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Multiscale Random Projections for Compressive Classification

Richard G. Baraniuk, Michael B. Wakin, Marco F. Duarte, 2007, 2007 IEEE International Conference on Image Processing.

Minimum complexity pursuit: Stability analysis

Richard G. Baraniuk, Arian Maleki, Shirin Jalali, 2012, 2012 IEEE International Symposium on Information Theory Proceedings.

Robust support recovery using sparse compressive sensing matrices

Richard G. Baraniuk, Jarvis D. Haupt, Richard Baraniuk, 2011, 2011 45th Annual Conference on Information Sciences and Systems.

Insense: Incoherent Sensor Selection for Sparse Signals

Richard G. Baraniuk, Andrew S. Lan, Mohammad Golbabaee, 2018, ICASSP.

Test-size Reduction for Concept Estimation

Richard G. Baraniuk, Lawrence Carin, Divyanshu Vats, 2013, EDM.

Multi-objective sensor-based replanning for a car-like robot

Lydia E. Kavraki, Mark Moll, Chinmay Hegde, 2012, 2012 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR).

Model-based compressive sensing for signal ensembles

Volkan Cevher, Richard G. Baraniuk, Marco F. Duarte, 2009, 2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

On the feasibility of hardware implementation of sub-Nyquist random-sampling based analog-to-information conversion

Richard G. Baraniuk, Anna C. Gilbert, Yehia Massoud, 2008, 2008 IEEE International Symposium on Circuits and Systems.

Adaptive wavelet transforms via lifting

Robert D. Nowak, Richard G. Baraniuk, Roger L. Claypoole, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Advanced design and specifications of TFDs

Douglas L. Jones, Boualem Boashash, Richard G. Baraniuk, 2015 .

Video compressive sensing for dynamic MRI

Aswin C. Sankaranarayanan, Wotao Yin, Richard G. Baraniuk, 2012, BMC Neuroscience.

Deep Learning Techniques for Inverse Problems in Imaging

Alexandros G. Dimakis, Richard G. Baraniuk, Rebecca Willett, 2020, IEEE Journal on Selected Areas in Information Theory.

oASIS: Adaptive Column Sampling for Kernel Matrix Approximation pdf

Richard G. Baraniuk, Azalia Mirhoseini, Eva L. Dyer, 2015, ArXiv.

Deep Neural Networks pdf

Richard G. Baraniuk, Randall Balestriero, D. Song, 2017 .

A Hidden Markov Tree Model for the Complex Wavelet Transform

Richard G. Baraniuk, Justin Romberg, Hay-mie Choi, 2001 .

A signal-dependent time-frequency representation: fast algorithm for optimal kernel design

Douglas L. Jones, Richard G. Baraniuk, Richard Baraniuk, 1994, IEEE Trans. Signal Process..

Semi-Supervised Learning with the Deep Rendering Mixture Model pdf

Richard G. Baraniuk, Ethan Perez, Ankit B. Patel, 2016, ArXiv.

Wavelet-based deconvolution for ill-conditioned systems

Richard G. Baraniuk, Hyeokho Choi, Ramesh Neelamani, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Fast Sublinear Sparse Representation using Shallow Tree Matching Pursuit pdf

Richard G. Baraniuk, Ashok Veeraraghavan, Ali Ayremlou, 2014, ArXiv.

Asymptotic Analysis of LASSOs Solution Path with Implications for Approximate Message Passing pdf

Richard G. Baraniuk, Arian Maleki, Ali Mousavi, 2013, ArXiv.

Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression

Richard G. Baraniuk, Divyanshu Vats, Richard Baraniuk, 2014, AISTATS.

Bayesian tree-structured image modeling using wavelet-domain hidden Markov models

Justin K. Romberg, Richard G. Baraniuk, Hyeokho Choi, 1999, Optics & Photonics.

Geometric methods for wavelet-based image compression

Justin K. Romberg, Richard G. Baraniuk, Michael B. Wakin, 2003, SPIE Optics + Photonics.

Optimal recovery from compressive measurements via denoising-based approximate message passing

Richard G. Baraniuk, Arian Maleki, Christopher A. Metzler, 2015, 2015 International Conference on Sampling Theory and Applications (SampTA).

Compressive imaging for video representation and coding

Richard G. Baraniuk, Michael B. Wakin, Shriram Sarvotham, 2006 .

RHash: Robust Hashing via ℓ∞-norm distortion

Richard G. Baraniuk, Andrew S. Lan, Anshumali Shrivastava, 2017, IJCAI 2017.

Deep-inverse correlography: towards real-time high-resolution non-line-of-sight imaging

Felix Heide, Richard G. Baraniuk, Ashok Veeraraghavan, 2020, Optica.

High-resolution navigation on non-differentiable image manifolds

Richard G. Baraniuk, Michael B. Wakin, Hyeokho Choi, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Joint Topic Modeling and Factor Analysis of Textual Information and Graded Response Data pdf

Richard G. Baraniuk, Andrew S. Lan, Christoph Studer, 2013, EDM.

Compressive distilled sensing: Sparse recovery using adaptivity in compressive measurements

Robert D. Nowak, Richard G. Baraniuk, Jarvis D. Haupt, 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.

Design of Adaptive Overlays for Multi-scale Communication in Sensor Networks

Richard G. Baraniuk, David B. Johnson, Santashil PalChaudhuri, 2005, DCOSS.

Estimation-quantization geometry coding using normal meshes

Richard G. Baraniuk, Hyeokho Choi, Sridhar Lavu, 2003, Data Compression Conference, 2003. Proceedings. DCC 2003.

From Hard to Soft: Understanding Deep Network Nonlinearities via Vector Quantization and Statistical Inference pdf

Richard G. Baraniuk, Randall Balestriero, Richard Baraniuk, 2018, ICLR.

MomentumRNN: Integrating Momentum into Recurrent Neural Networks pdf

Richard G. Baraniuk, Andrea L. Bertozzi, Stanley J. Osher, 2020, NeurIPS.

Multiple window time-frequency and time-scale analysis

Richard G. Baraniuk, Metin Bayram, Richard Baraniuk, 1996, Optics & Photonics.

Probe Design for Compressive Sensing DNA Microarrays

Richard G. Baraniuk, Olgica Milenkovic, Mona A. Sheikh, 2008, 2008 IEEE International Conference on Bioinformatics and Biomedicine.

Regime Change: Bit-Depth Versus Measurement-Rate in Compressive Sensing

Richard G. Baraniuk, Jason N. Laska, Richard Baraniuk, 2011, IEEE Transactions on Signal Processing.

One-Bit Compressive Sensing of Dictionary-Sparse Signals pdf

Richard G. Baraniuk, Deanna Needell, Mary Wootters, 2016, ArXiv.

Compressive Video Sensing: Algorithms, architectures, and applications

Aswin C. Sankaranarayanan, Richard G. Baraniuk, Ashok Veeraraghavan, 2017, IEEE Signal Processing Magazine.

Wavelet-based statistical signal processing using hidden Markov models

Robert D. Nowak, Richard G. Baraniuk, Matthew S. Crouse, 1998, IEEE Trans. Signal Process..

Wavelet domain filtering for photon imaging systems

Richard G. Baraniuk, Robert Nowak, 1997, Optics & Photonics.

A Probabilistic Theory of Deep Learning pdf

Richard G. Baraniuk, Ankit B. Patel, Minh Tan Nguyen, 2015, ArXiv.

Signal representations with minimum ℓ∞-norm

Wotao Yin, Richard G. Baraniuk, Christoph Studer, 2012, 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Peer Review Anew: Three Principles and a Case Study in Postpublication Quality Assurance

Richard G. Baraniuk, C. Sidney Burrus, Christopher M. Kelty, 2008, Proceedings of the IEEE.

Uniform Partitioning of Data Grid for Association Detection

Ali Mousavi, Richard G. Baraniuk, Richard Baraniuk, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multiscale geometric image processing

Justin K. Romberg, Richard G. Baraniuk, Michael B. Wakin, 2003, Visual Communications and Image Processing.

A faster fourier transform: A mathematical upgrade promises a speedier digital world

Richard G. Baraniuk, Joel A. Tropp, Mark A. Iwen, 2012 .

Multiple Window Time Varying Spectrum Estimation

Richard G. Baraniuk, Metin Bayram, Richard Baraniuk, 2000 .

Bayesian wavelet-domain image modeling using hidden Markov trees

Justin K. Romberg, Richard G. Baraniuk, Hyeokho Choi, 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

The embedded triangles algorithm for distributed estimation in sensor networks

Richard G. Baraniuk, Ramesh Neelamani, Véronique Delouille, 2003, IEEE Workshop on Statistical Signal Processing, 2003.

Exact signal recovery from sparsely corrupted measurements through the Pursuit of Justice

Richard G. Baraniuk, Mark A. Davenport, Jason N. Laska, 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.

Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent pdf

Richard G. Baraniuk, Andrea L. Bertozzi, Stanley J. Osher, 2020, ArXiv.

Throughput Measures for Delay-constrained Communications in Fading Channels

Richard G. Baraniuk, N. Ahmed, Richard Baraniuk, 2003 .

A Field Guide to Forward-Backward Splitting with a FASTA Implementation pdf

Richard G. Baraniuk, Tom Goldstein, Christoph Studer, 2014, ArXiv.

ViewpointGlobal warming toward open educational resources

Richard G. Baraniuk, C. Sidney Burrus, Richard Baraniuk, 2008, CACM.

Recovery of compressible signals in unions of subspaces

Volkan Cevher, Chinmay Hegde, Richard G. Baraniuk, 2009, 2009 43rd Annual Conference on Information Sciences and Systems.

Adaptive Estimation for Approximate k-Nearest-Neighbor Computations

Richard G. Baraniuk, Reinhard Heckel, Daniel LeJeune, 2019, AISTATS.

Double Double Descent: On Generalization Errors in Transfer Learning between Linear Regression Tasks pdf

Richard G. Baraniuk, Yehuda Dar, 2020, ArXiv.

The multiscale structure of non-differentiable image manifolds

Richard G. Baraniuk, Michael B. Wakin, Hyeokho Choi, 2005, SPIE Optics + Photonics.

Subspace clustering with dense representations

Richard G. Baraniuk, Eva L. Dyer, Christoph Studer, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Tuning Support Vector Machines for Minimax and Neyman-Pearson Classification

Richard G. Baraniuk, Clayton D. Scott, Mark A. Davenport, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Compressive Optical Imaging Systems -- Theory, Devices and Implementation

Richard G. Baraniuk, Rebecca Willett, Kevin F. Kelly, 2009 .

Maximin Analysis of Message Passing Algorithms for Recovering Block Sparse Signals pdf

Armeen Taeb, Richard G. Baraniuk, Arian Maleki, 2013, ArXiv.

An adaptive optimal-kernel time-frequency representation

Douglas L. Jones, Richard G. Baraniuk, 1995, IEEE Trans. Signal Process..

Multiple basis wavelet denoising using Besov projections

Richard G. Baraniuk, Hyeokho Choi, 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

Signal estimation using wavelet-Markov models

Robert D. Nowak, Richard G. Baraniuk, Matthew S. Crouse, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

EnergyNet: Energy-Efficient Dynamic Inference

Yingyan Lin, Yang Zhao, Richard G. Baraniuk, 2018 .

Optimal Sampling Strategies for Multiscale Stochastic Processes

Richard G. Baraniuk, Rudolf H. Riedi, Vinay J. Ribeiro, 2004, math/0611191.

Representation and Compression of Multidimensional Piecewise Functions Using Surflets

Venkat Chandrasekaran, Richard G. Baraniuk, Michael B. Wakin, 2009, IEEE Transactions on Information Theory.

Dictionary learning from sparsely corrupted or compressed signals

Richard G. Baraniuk, Christoph Studer, Richard Baraniuk, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Single-pixel terahertz camera speeds measurement

Richard G. Baraniuk, Wai Lam Chan, Kevin F. Kelly, 2008 .

Sparse Coding via Thresholding and Local Competition in Neural Circuits

Richard G. Baraniuk, Bruno A. Olshausen, Don H. Johnson, 2008, Neural Computation.

Time Frequency Analysis Applications in Geophysics

Richard G. Baraniuk, Jan E. Odegard, Philippe Steeghs, 2002 .

Image compression using an efficient edge cartoon + texture model

Justin K. Romberg, Richard G. Baraniuk, Michael B. Wakin, 2002, Proceedings DCC 2002. Data Compression Conference.

Deterministic Column Sampling for Low-Rank Matrix Approximation: Nyström vs. Incomplete Cholesky Decomposition

Richard G. Baraniuk, Tom Goldstein, Azalia Mirhoseini, 2016, SDM.

Greedy feature selection for subspace clustering

Aswin C. Sankaranarayanan, Richard G. Baraniuk, Eva L. Dyer, 2013, J. Mach. Learn. Res..

Introduction to this special section: Machine learning applications

Richard G. Baraniuk, Arvind K. Sharma, Simon Shaw, 2019, The Leading Edge.

An Improved Semi-Supervised VAE for Learning Disentangled Representations pdf

Zichao Wang, Richard G. Baraniuk, Ankit B. Patel, 2020, ArXiv.

Inverse Scattering via Transmission Matrices: Broadband Illumination and Fast Phase Retrieval Algorithms

Manoj Kumar Sharma, Richard G. Baraniuk, Ashok Veeraraghavan, 2020, IEEE Transactions on Computational Imaging.

Parameterless Optimal Approximate Message Passing pdf

Richard G. Baraniuk, Arian Maleki, Ali Mousavi, 2013, ArXiv.

Hybrid linear/quadratic time-frequency attributes

Richard G. Baraniuk, Mark Coates, Philippe Steeghs, 2001, IEEE Trans. Signal Process..

An Expectation-Maximization Approach to Tuning Generalized Vector Approximate Message Passing

Richard G. Baraniuk, Philip Schniter, Christopher A. Metzler, 2018, LVA/ICA.

Network and user driven alpha-beta on-off source model for network traffic

Richard G. Baraniuk, Shriram Sarvotham, Rudolf H. Riedi, 2005, Comput. Networks.

Ensembles of Generative Adversarial Networks for Disconnected Data pdf

Richard G. Baraniuk, Lorenzo Luzi, Randall Balestriero, 2020, ArXiv.

Community driven digital signal processing laboratories in connexions

Richard G. Baraniuk, Lee C. Potter, Hyeokho Choi, 2004 .

Universal distributed sensing via random projections

Richard G. Baraniuk, Michael B. Wakin, Marco F. Duarte, 2006, 2006 5th International Conference on Information Processing in Sensor Networks.

Kronecker Compressive Sensing

Richard G. Baraniuk, Marco F. Duarte, Richard Baraniuk, 2012, IEEE Transactions on Image Processing.

BM3D-PRGAMP: Compressive phase retrieval based on BM3D denoising

Richard G. Baraniuk, Arian Maleki, Christopher A. Metzler, 2016, 2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW).

Sparse Bilinear Logistic Regression pdf

Richard G. Baraniuk, Jianing Shi, Yangyang Xu, 2014, ArXiv.

Optimal transmit spectra for communication in the presence of crosstalk and imperfect echo cancellation

Richard G. Baraniuk, N. Ahmed, D. P. Shaver, 2001 .

Wavelet domain filtering for nuclear medicine imaging

Richard G. Baraniuk, Robert Nowak, D. J. Nowak, 1996, 1996 IEEE Nuclear Science Symposium. Conference Record.

Adaptive weighted highpass filters using multiscale analysis

Robert D. Nowak, Richard G. Baraniuk, 1998, IEEE Trans. Image Process..

New Theory and Algorithms for Compressive Sensing

Richard G. Baraniuk, 2009 .

An architecture for distributed wavelet analysis and processing in sensor networks

Albert Cohen, Richard G. Baraniuk, Shu Du, 2006, 2006 5th International Conference on Information Processing in Sensor Networks.

Simulation of nonGaussian long-range-dependent traffic using wavelets

Richard G. Baraniuk, Rudolf H. Riedi, Vinay J. Ribeiro, 1999, SIGMETRICS '99.

Wavelets and multifractals for network traffic modeling and inference

Richard G. Baraniuk, Rudolf H. Riedi, Vinay J. Ribeiro, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Matrix based computation of floating-point roundoff noise

Richard G. Baraniuk, Barry D. Van Veen, Richard Baraniuk, 1989, IEEE Trans. Acoust. Speech Signal Process..

Iterative reconstruction from limited angle, limited view projections for cryo-electron tomography

Richard G. Baraniuk, Wah Chiu, Christopher A. Metzler, 2015, 2015 49th Asilomar Conference on Signals, Systems and Computers.

Face Detection and Verification Using Lensless Cameras

Richard G. Baraniuk, Ashok Veeraraghavan, Jacob T. Robinson, 2019, IEEE Transactions on Computational Imaging.

Interpolation and denoising of piecewise smooth signals by wavelet regularization

Richard G. Baraniuk, Hyeokho Choi, 2003, SPIE Optics + Photonics.

Neural architectures for sparse approximation

Bruno A. Olshausen, Richard G. Baraniuk, Don H. Johnson, 2008 .

Analysis of the DCS one-stage Greedy Algorothm for Common Sparse Supports

Richard G. Baraniuk, Michael B. Wakin, Shriram Sarvotham, 2005 .

Joint Compression and Speckle Reduction of SAR Images using Embedded Zerotree Models

Richard G. Baraniuk, Jan E. Odegard, C. Sidney Burrus, 1996 .

Mathematical Language Processing: Automatic Grading and Feedback for Open Response Mathematical Questions

Richard G. Baraniuk, Divyanshu Vats, Andrew S. Lan, 2015, L@S.

Bayesian Compressive Sensing Via Belief Propagation

Richard G. Baraniuk, Shriram Sarvotham, Dror Baron, 2008, IEEE Transactions on Signal Processing.

Imaging with terahertz pulses

Richard G. Baraniuk, Daniel M. Mittleman, Timothy D. Dorney, 2000, SPIE Optics + Photonics.

Minimax Support Vector Machines

Richard G. Baraniuk, Clayton D. Scott, Mark A. Davenport, 2007, 2007 IEEE/SP 14th Workshop on Statistical Signal Processing.

Applications of Sparse Representation and Compressive Sensing

Michael Elad, Emmanuel J. Candès, Richard G. Baraniuk, 2010, Proc. IEEE.

qDKT: Question-centric Deep Knowledge Tracing pdf

Richard G. Baraniuk, Andrew S. Lan, Andrew E. Waters, 2020, EDM.

Optimal tree approximation with wavelets

Richard G. Baraniuk, Richard Baraniuk, 1999, Optics & Photonics.

Compressive Sensing

Richard G. Baraniuk, Richard Baraniuk, 2008, Computer Vision, A Reference Guide.

Coding theoretic approach to segmentation and robust CFAR-detection for ladar images

Richard G. Baraniuk, Mário A. T. Figueiredo, Robert Nowak, 2001, SPIE Defense + Commercial Sensing.

A robust and efficient method to recover neural events from noisy and corrupted data

Richard G. Baraniuk, Eva L. Dyer, Jacob T. Robinson, 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).

Variable-rate coding with feedback for universal communication systems

Richard G. Baraniuk, Shriram Sarvotham, Dror Baron, 2005 .

Unsupervised SAR image segmentation using recursive partitioning

Richard G. Baraniuk, Mário A. T. Figueiredo, Robert Nowak, 2000, SPIE Defense + Commercial Sensing.

pathChirp: Efficient available bandwidth estimation for network paths

Richard G. Baraniuk, Rudolf H. Riedi, Vinay J. Ribeiro, 2003 .

Personalized Feedback for Open-Response Mathematical Questions using Long Short-Term Memory Networks

Richard G. Baraniuk, Andrew S. Lan, Joshua J. Michalenko, 2017, EDM.

CS-MUVI: Video compressive sensing for spatial-multiplexing cameras

Aswin C. Sankaranarayanan, Richard G. Baraniuk, Christoph Studer, 2012, 2012 IEEE International Conference on Computational Photography (ICCP).

Signal Recovery on Incoherent Manifolds

Chinmay Hegde, Richard G. Baraniuk, Richard Baraniuk, 2012, IEEE Transactions on Information Theory.

Analysis of wavelet-domain Wiener filters

Richard G. Baraniuk, Hyeokho Choi, 1998, Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380).

Flexible Wavelet Transforms Using Lifting

Richard G. Baraniuk, Roger L. Claypoole, Richard Baraniuk, 1998 .

Detection and estimation with compressive measurements

Richard G. Baraniuk, Michael B. Wakin, Mark A. Davenport, 2006 .

Exponential Decay of Reconstruction Error From Binary Measurements of Sparse Signals

Richard G. Baraniuk, Deanna Needell, Mary Wootters, 2014, IEEE Transactions on Information Theory.

A compressive phase-locked loop

Richard G. Baraniuk, Petros Boufounos, Mark A. Davenport, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Joint signaling techniques for crosstalk-dominated communication channels

Richard G. Baraniuk, Rohit V. Gaikwad, 1999, Seamless Interconnection for Universal Services. Global Telecommunications Conference. GLOBECOM'99. (Cat. No.99CH37042).

Optimal Transmit Spectra for Communication on Digital Subscriber Lines

Richard G. Baraniuk, Rohit V. Gaikwad, 1999 .

Optimal Transmit Spectra for HDSL2 under a Peak Frequency-Domain Power Constraint

Richard G. Baraniuk, Rohit V. Gaikwad, 1998 .

Blind Crosstalk Cancellation for DMT Systems

Richard G. Baraniuk, Nirmal Warke, N. Ahmed, 2002 .

Tag-Aware Ordinal Sparse Factor Analysis for Learning and Content Analytics

Richard G. Baraniuk, Andrew S. Lan, Christoph Studer, 2014, EDM.

An Information-Theoretic Approach to Distributed Compressed Sensing ∗

Richard G. Baraniuk, Michael B. Wakin, Shriram Sarvotham, 2005 .

Image segmentation using wavelet-domain classification

Richard G. Baraniuk, Hyeokho Choi, Richard Baraniuk, 1999, Optics & Photonics.

Bayesian tree-structured image modeling using wavelet-domain hidden Markov models

Justin K. Romberg, Richard G. Baraniuk, Hyeokho Choi, 2001, IEEE Trans. Image Process..

Compressive image acquisition and classification via secant projections

Chinmay Hegde, Aswin C. Sankaranarayanan, Richard G. Baraniuk, 2015 .

A Theoretical Analysis of Joint Manifolds pdf

Chinmay Hegde, Richard G. Baraniuk, Marco F. Duarte, 2009, ArXiv.

A Spline Theory of Deep Networks (Extended Version) pdf

Richard G. Baraniuk, Randall Balestriero, Richard Baraniuk, 2018, ArXiv.

Wavelet-based deconvolution using optimally regularized inversion for ill-conditioned systems

Richard G. Baraniuk, Hyeokho Choi, Ramesh Neelamani, 1999, Optics & Photonics.

Signal Processing for Computational Photography and Displays [From the Guest Editors]

Richard G. Baraniuk, Ashok Veeraraghavan, Amit K. Agrawal, 2016, IEEE Signal Process. Mag..

Information-theoretic interpretation of Besov spaces

Richard G. Baraniuk, Hyeokho Choi, 2000, SPIE Optics + Photonics.

Connection-level analysis and modeling of network traffic

Richard G. Baraniuk, Shriram Sarvotham, Rudolf H. Riedi, 2001, IMW '01.

Attention Word Embedding

Richard G. Baraniuk, Andrew E. Waters, Shashank Sonkar, 2020, COLING.

A Max-Affine Spline Perspective of Recurrent Neural Networks

Zichao Wang, Richard G. Baraniuk, Randall Balestriero, 2019, ICLR.

Joint Manifolds for Data Fusion

Chinmay Hegde, Richard G. Baraniuk, Marco F. Duarte, 2010, IEEE Transactions on Image Processing.

A Meta-Learning Augmented Bidirectional Transformer Model for Automatic Short Answer Grading

Zichao Wang, Richard G. Baraniuk, Andrew S. Lan, 2019, EDM.

Nonlinear Wigner-Ville spectrum estimation using wavelet soft-thresholding

Richard G. Baraniuk, 1995, Defense, Security, and Sensing.

Sparse Coding via Thresholding and Local Competition

Richard G. Baraniuk, Bruno A. Olshausen, Don H. Johnson, 2006 .

Gas sensing using terahertz time-domain spectroscopy

Richard G. Baraniuk, Rune Hylsberg Jacobsen, Daniel M. Mittleman, 1998 .

Improved type-based detection of analog signals

Richard G. Baraniuk, Paulo Gonçalves, Don H. Johnson, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

prDeep: Robust Phase Retrieval with a Flexible Deep Network

Richard G. Baraniuk, Ashok Veeraraghavan, Philip Schniter, 2018, ICML.

BLAh: Boolean Logic Analysis for Graded Student Response Data

Richard G. Baraniuk, Andrew S. Lan, Christoph Studer, 2017, IEEE Journal of Selected Topics in Signal Processing.

Compressive Acquisition of Linear Dynamical Systems

Rama Chellappa, Aswin C. Sankaranarayanan, Richard G. Baraniuk, 2013, SIAM J. Imaging Sci..

Window design for signal-dependent spectrogram using optimal kernel techniques

Richard G. Baraniuk, Chad Carson, 1996, Optics & Photonics.

Directional hypercomplex wavelets for multidimensional signal analysis and processing

Richard G. Baraniuk, Wai Lam Chan, Hyeokho Choi, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Kronecker product matrices for compressive sensing

Richard G. Baraniuk, Marco F. Duarte, Richard Baraniuk, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Unitary equivalence: a new twist on signal processing

Douglas L. Jones, Richard G. Baraniuk, Richard Baraniuk, 1995, IEEE Trans. Signal Process..

Sparsity and Structure in Hyperspectral Imaging

Richard G. Baraniuk, Rebecca Willett, Marco F. Duarte, 2014 .

Optimal transmit spectra for communication in the presence of crosstalk

Richard G. Baraniuk, Rohit V. Gaikwad, 1999, 1999 IEEE Communications Theory Mini-Conference (Cat. No.99EX352).

Unsupervised Learning with Stein's Unbiased Risk Estimator pdf

Richard G. Baraniuk, Reinhard Heckel, Ali Mousavi, 2018, ArXiv.

Compressed Sensing and its Applications in Imaging

Richard G. Baraniuk, Marco F. Duarte, Kevin F. Kelly, 2008 .

VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics pdf

Yi Gu, Richard G. Baraniuk, Andrew S. Lan, 2020, EDM.

Compressive sensing architecture advances infrared camera design

Richard G. Baraniuk, Sanjay Krishna, Kevin F. Kelly, 2011 .

Low-Dimensional Models for Dimensionality Reduction and Signal Recovery: A Geometric Perspective

Volkan Cevher, Richard G. Baraniuk, Michael B. Wakin, 2010, Proceedings of the IEEE.

Coherent image processing using quaternion wavelets

Richard G. Baraniuk, Wai Lam Chan, Hyeokho Choi, 2005, SPIE Optics + Photonics.

Warped wavelet bases: unitary equivalence and signal processing

Douglas L. Jones, Richard G. Baraniuk, 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Universal Frame Thresholding

Richard G. Baraniuk, Behnaam Aazhang, Randall Balestriero, 2020, IEEE Signal Processing Letters.

Edge-localized image sharpening via reassignment with application to computed tomography

Srikrishna Bhashyam, Richard G. Baraniuk, Patrick Flandrin, 2000, SPIE Optics + Photonics.

A simple scheme for adapting time-frequency representations

Douglas L. Jones, Richard G. Baraniuk, 1994, IEEE Trans. Signal Process..

Sparse Signal Reconstruction from Noisy Compressive Measurements using Cross Validation

Richard G. Baraniuk, Petros Boufounos, Marco F. Duarte, 2007, 2007 IEEE/SP 14th Workshop on Statistical Signal Processing.

The Compressive Matched Filter

Richard G. Baraniuk, Michael B. Wakin, Mark A. Davenport, 2006 .

Introduction to the Issue on Signal Processing and Machine Learning

Mihaela van der Schaar, Richard G. Baraniuk, Mung Chiang, 2017, IEEE J. Sel. Top. Signal Process..

High Dimensional Data Fusion via Joint Manifold Learning

Chinmay Hegde, Richard G. Baraniuk, Marco F. Duarte, 2010, AAAI Fall Symposium: Manifold Learning and Its Applications.

An On-Line Signal-Dependent Time-Frequency Representation

Douglas L. Jones, Richard G. Baraniuk, Richard Baraniuk, 1992, The Digital Signal Processing workshop.

Fast Alternating Direction Optimization Methods

Richard G. Baraniuk, Tom Goldstein, Brendan O'Donoghue, 2014, SIAM J. Imaging Sci..

k-POD: A Method for k-Means Clustering of Missing Data

Richard G. Baraniuk, Eric C. Chi, Jocelyn T. Chi, 2014, 1411.7013.

Stable Restoration and Separation of Approximately Sparse Signals pdf

Richard G. Baraniuk, Christoph Studer, Richard Baraniuk, 2011, ArXiv.

Multiscale Queueing Analysis

Richard G. Baraniuk, Rudolf H. Riedi, Vinay J. Ribeiro, 2006, IEEE/ACM Transactions on Networking.

Adaptive wavelet transforms for image coding using lifting

Richard G. Baraniuk, Wim Sweldens, Geoffrey M. Davis, 1998, Proceedings DCC '98 Data Compression Conference (Cat. No.98TB100225).

Locally Competitive Algorithms for Sparse Approximation

Richard G. Baraniuk, Bruno A. Olshausen, Don H. Johnson, 2007, 2007 IEEE International Conference on Image Processing.

RACE: Sub-Linear Memory Sketches for Approximate Near-Neighbor Search on Streaming Data pdf

Richard G. Baraniuk, Anshumali Shrivastava, Benjamin Coleman, 2019, ArXiv.

Go with the flow: Optical flow-based transport operators for image manifolds

Chinmay Hegde, Aswin C. Sankaranarayanan, Richard G. Baraniuk, 2011, 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Wavelet-based transformations for nonlinear signal processing

Robert D. Nowak, Richard G. Baraniuk, Richard Baraniuk, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Semi-Supervised Learning via New Deep Network Inversion pdf

Hervé Glotin, Vincent Roger, Richard G. Baraniuk, 2017, ArXiv.

Toward Compressive Camera Networks

Aswin C. Sankaranarayanan, Richard G. Baraniuk, Ashok Veeraraghavan, 2014, Computer.

Dealbreaker: A Nonlinear Latent Variable Model for Educational Data

Richard G. Baraniuk, Tom Goldstein, Andrew S. Lan, 2016, ICML.

FASTA: A Generalized Implementation of Forward-Backward Splitting pdf

Richard G. Baraniuk, Tom Goldstein, Christoph Studer, 2015, ArXiv.

IdeoTrace: A Framework for Ideology Tracing with a Case Study on the 2016 U.S. Presidential Election

Richard G. Baraniuk, Andrew S. Lan, Gautam Dasarathy, 2019, 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Learning to invert: Signal recovery via Deep Convolutional Networks

Ali Mousavi, Richard G. Baraniuk, Richard Baraniuk, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Multi-robot target verification with reachability constraints

Lydia E. Kavraki, Mark Moll, Chinmay Hegde, 2012, 2012 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR).

Thresholding Graph Bandits with GrAPL pdf

Richard G. Baraniuk, Gautam Dasarathy, Daniel LeJeune, 2020, AISTATS.

Contraction, smoothness, and low-pass filtering

Richard G. Baraniuk, Mohammad Ali Khojastepour, Behnaam Aazhang, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Beyond time-frequency analysis: energy densities in one and many dimensions

Richard G. Baraniuk, Richard Baraniuk, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

Efficient computation of densely sampled wavelet transforms

Douglas L. Jones, Richard G. Baraniuk, Richard Baraniuk, 1991, Optics & Photonics.

Random Projections of Signal Manifolds

Richard G. Baraniuk, Michael B. Wakin, Richard Baraniuk, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Multiscale manifold representation and modeling

Richard G. Baraniuk, Hyeokho Choi, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Multifractal Cross-Traffic Estimation

Richard G. Baraniuk, Shriram Sarvotham, Rudolf H. Riedi, 2000 .

Applications of adaptive time-frequency representations to underwater acoustic signal processing

Richard G. Baraniuk, T. Brotherton, L. Marple, 1991, [1991] Conference Record of the Twenty-Fifth Asilomar Conference on Signals, Systems & Computers.

The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding vs. Dynamic Range pdf

Richard G. Baraniuk, Mark A. Davenport, John R. Treichler, 2011, ArXiv.

Optimal Transmit Spectra for HDSL2

Richard G. Baraniuk, Rohit V. Gaikwad, 1998 .

Sparsity-based approaches for damage detection in plates

Satish Nagarajaiah, Richard G. Baraniuk, Debarshi Sen, 2019, Mechanical Systems and Signal Processing.

A Latent Factor Model For Instructor Content Preference Analysis

Richard G. Baraniuk, Andrew S. Lan, Phillip J. Grimaldi, 2017, EDM.

Multiscale SAR image segmentation using wavelet-domain hidden Markov tree models

Richard G. Baraniuk, Hyeokho Choi, Vidya Venkatachalam, 2000, SPIE Defense + Commercial Sensing.

A Theory for Optical flow-based Transport on Image Manifolds pdf

Aswin C. Sankaranarayanan, Richard G. Baraniuk, Sriram Nagaraj, 2011, ArXiv.

Reconstructing sparse signals from their zero crossings

Richard G. Baraniuk, Petros Boufounos, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Multiscale Texture Segmentation of Dip-cube Slices using Wavelet-domain Hidden Markov Trees

Richard G. Baraniuk, Hyeokho Choi, Ivan Magrin-Chagnolleau, 1999 .

Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors pdf

Richard G. Baraniuk, Lorenzo Luzi, Yehuda Dar, 2020, ICML.

The Power of Many: Enhancing Photographs with Multiple Images

Richard G. Baraniuk, Ashok Veeraraghavan, M. Salman Asif, 2015 .

Model-Based Compressive Sensing

Volkan Cevher, Chinmay Hegde, Richard G. Baraniuk, 2008, IEEE Transactions on Information Theory.

Joint signaling techniques and spectral optimization for symmetric bit-rate communication over self-NEXT-dominated channels

Richard G. Baraniuk, Rohit V. Gaikwad, 2004, IEEE Transactions on Communications.

Short-Answer Responses to STEM Exercises: Measuring Response Validity and Its Impact on Learning

Richard G. Baraniuk, Andrew S. Lan, Andrew E. Waters, 2017, EDM.

Coding-theoretic approach to SAR image segmentation

Richard G. Baraniuk, Mário A. T. Figueiredo, Robert Nowak, 2001, SPIE Defense + Commercial Sensing.

A deep learning approach to structured signal recovery

Richard G. Baraniuk, Ankit B. Patel, Ali Mousavi, 2015, 2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Multiscale image processing using normal triangulated meshes

Richard G. Baraniuk, Hyeokho Choi, Sridhar Lavu, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

Sparse Signal Recovery Using Markov Random Fields

Volkan Cevher, Chinmay Hegde, Richard G. Baraniuk, 2008, NIPS.

Adaptive Wavelet Transforms for Image Coding

Richard G. Baraniuk, Wim Sweldens, Geoffrey M. Davis, 1997 .

Nonparametric, low bias, and low variance time-frequency analysis of myoelectric signals

Ian D. Walker, Richard G. Baraniuk, K. A. Farry, 1995, Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society.

From Open Content Repositories to Open Sensemaking Communities

Richard G. Baraniuk, Simon Buckingham Shum, Alex Keller, 2005 .

Trends in Signal Processing Education [In the Spotlight]

Richard G. Baraniuk, Wayne T. Padgett, 2012, IEEE Signal Process. Mag..

InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers pdf

Richard G. Baraniuk, Anima Anandkumar, Animesh Garg, 2019, ArXiv.

The STONE Transform: Multi-Resolution Image Enhancement and Real-Time Compressive Video pdf

Richard G. Baraniuk, Tom Goldstein, Lina Xu, 2013, ArXiv.

FRACTALS IN NETWORKING: MODELING AND INFERENCE

Richard G. Baraniuk, Shriram Sarvotham, Rudolf H. Riedi, 2004 .

Measuring time-Frequency information content using the Rényi entropies

Olivier J. J. Michel, Richard G. Baraniuk, Patrick Flandrin, 2001, IEEE Trans. Inf. Theory.

The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding versus Dynamic Range

Richard G. Baraniuk, Mark A. Davenport, John R. Treichler, 2011, IEEE Transactions on Signal Processing.

1-Bit compressive sensing

Richard G. Baraniuk, Petros T. Boufounos, Richard Baraniuk, 2008, 2008 42nd Annual Conference on Information Sciences and Systems.

Theory and Implementation of an Analog-to-Information Converter using Random Demodulation

Richard G. Baraniuk, Marco F. Duarte, Yehia Massoud, 2007, 2007 IEEE International Symposium on Circuits and Systems.

Signal Processing With Compressive Measurements

Richard G. Baraniuk, Michael B. Wakin, Petros Boufounos, 2010, IEEE Journal of Selected Topics in Signal Processing.

The smashed filter for compressive classification and target recognition

Richard G. Baraniuk, Michael B. Wakin, Marco F. Duarte, 2007, Electronic Imaging.

Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks

Richard G. Baraniuk, Randall Balestriero, Sebastien Paris, 2020, NeurIPS.

Faster sequential universal coding via block partitioning

Richard G. Baraniuk, Dror Baron, 2006, IEEE Transactions on Information Theory.

On Nearly Orthogonal Lattice Bases and Random Lattices

Sanjeeb Dash, Richard G. Baraniuk, Ramesh Neelamani, 2007, SIAM J. Discret. Math..

Quantized Matrix Completion for Personalized Learning

Richard G. Baraniuk, Andrew S. Lan, Christoph Studer, 2014, EDM.

Interpretable Super-Resolution via a Learned Time-Series Representation pdf

Richard G. Baraniuk, Randall Balestriero, Herve Glotin, 2020, ArXiv.

Myoelectric teleoperation of a complex robotic hand

Ian D. Walker, Richard G. Baraniuk, Kristin A. Farry, 1996, IEEE Trans. Robotics Autom..

Connexions: DSP education for a networked world

Alfred O. Hero, Douglas B. Williams, Douglas L. Jones, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Distributed Compressed Sensing Dror

Richard G. Baraniuk, Michael B. Wakin, Shriram Sarvotham, 2005 .

Deterministic Bounds for Restricted Isometry of Compressed Sensing Matrices pdf

Richard G. Baraniuk, Shriram Sarvotham, Richard Baraniuk, 2011, ArXiv.

New dimensions in wavelet analysis

Douglas L. Jones, Richard G. Baraniuk, 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

ForWaRD: Fourier-wavelet regularized deconvolution for ill-conditioned systems

Richard G. Baraniuk, Hyeokho Choi, Ramesh Neelamani, 2004, IEEE Transactions on Signal Processing.

Open-content signal processing laboratories in connexions

Douglas L. Jones, Richard G. Baraniuk, Lee C. Potter, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

( A review of a broad set of sparse models, analysis tools, and recovery algorithms within the graphical models formalism )

Piotr Indyk, Richard G. Baraniuk, Lawrence Carin, 2010 .

Random Filters for Compressive Sampling and Reconstruction

Richard G. Baraniuk, Michael B. Wakin, Joel A. Tropp, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Beyond time-frequency analysis: energy densities in one and many dimensions

Richard G. Baraniuk, 1998, IEEE Trans. Signal Process..

SPATIO-TEMPORAL AVAILABLE BANDWIDTH ESTIMATION FOR HIGH-SPEED NETWORKS

Richard G. Baraniuk, Rudolf H. Riedi, Vinay J. Ribeiro, 2003 .

Wavelet-based decompositions for nonlinear signal processing

Richard G. Baraniuk, Robert Nowak, Richard Baraniuk, 1996, Optics & Photonics.

Compressive Sensing DNA Microarrays

Richard G. Baraniuk, Olgica Milenkovic, Mona A. Sheikh, 2008, EURASIP J. Bioinform. Syst. Biol..

SPRITE: A Response Model For Multiple Choice Testing

Richard G. Baraniuk, Christoph Studer, Andrew E. Waters, 2015 .

Sampling and Recovery of Pulse Streams

Chinmay Hegde, Richard G. Baraniuk, Richard Baraniuk, 2010, IEEE Transactions on Signal Processing.

2002 Index IEEE Signal Processing Magazine Vol. 19

Richard G. Baraniuk, Patrick Flandrin, Rudolf H. Riedi, 2002 .

Compressive sensing radar: Simulation and experiments for target detection

Richard G. Baraniuk, Arian Maleki, Laura Anitori, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Improved wavelet denoising via empirical Wiener filtering

Richard G. Baraniuk, Akbar M. Sayeed, Sandeep P. Ghael, 1997, Optics & Photonics.

Bayesian pairwise collaboration detection in educational datasets

Richard G. Baraniuk, Christoph Studer, Andrew E. Waters, 2013, 2013 IEEE Global Conference on Signal and Information Processing.

Multiscale Modeling and Queuing Analysis of Long-Range-Dependent Network Traffic

Richard G. Baraniuk, Vinay J. Ribeiro, Rudolf H. Riedi, 1999 .

Texas Hold 'Em algorithms for distributed compressive sensing

Chinmay Hegde, Richard G. Baraniuk, Marco F. Duarte, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Optimal transmit spectra for communication in the presence of crosstalk and imperfect echo cancellation

Richard G. Baraniuk, Nadeem Ahmed, Donald P. Shaver, 2001, 2001 IEEE Emerging Technologies Symposium on BroadBand Communications for the Internet Era. Symposium Digest (Cat. No.01EX508).

Hidden Markov Tree Models for Complex Wavelet Transforms

Justin K. Romberg, Richard G. Baraniuk, Hyeokho Choi, 2002 .

Suboptimality of nonlocal means on images with sharp edges

Richard G. Baraniuk, Arian Maleki, Manjari Narayan, 2011, 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Compressive hyperspectral sensor for LWIR gas detection

Thomas A. Russell, Richard G. Baraniuk, Lenore McMackin, 2012, Defense + Commercial Sensing.

Consistent Parameter Estimation for LASSO and Approximate Message Passing pdf

Richard G. Baraniuk, Arian Maleki, Ali Mousavi, 2015, The Annals of Statistics.

Regime change: sampling rate vs. bit-depth in compressive sensing

Richard G. Baraniuk, Jason N. Laska, Richard Baraniuk, 2011 .

Learned D-AMP: Principled Neural Network based Compressive Image Recovery

Richard G. Baraniuk, Ali Mousavi, Christopher A. Metzler, 2017, NIPS.

A Multifractal Wavelet Model with Application to Network Traffic

Richard G. Baraniuk, Rudolf H. Riedi, Vinay J. Ribeiro, 1999, IEEE Trans. Inf. Theory.

Imaging with THz pulses

Richard G. Baraniuk, Jon Johnson, Daniel Mittleman, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

BayesRank: A Bayesian Approach to Ranked Peer Grading

Richard G. Baraniuk, David Tinapple, Andrew E. Waters, 2015, L@S.

Sparse Geodesic Paths

Richard G. Baraniuk, Mark A. Davenport, 2009, AAAI Fall Symposium: Manifold Learning and Its Applications.

Wavelet-domain compressive signal reconstruction using a Hidden Markov Tree model

Richard G. Baraniuk, Michael B. Wakin, Marco F. Duarte, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Delay-limited throughput maximization for fading channels using rate and power control

Richard G. Baraniuk, Nadeem Ahmed, Mohammad Ali Khojestapour, 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

Multiscale document segmentation using wavelet-domain hidden Markov models

Richard G. Baraniuk, Hyeokho Choi, 1999, Electronic Imaging.

Multiscale classification using complex wavelets

Justin K. Romberg, Richard G. Baraniuk, Hyeokho Choi, 2000 .

QG-net: a data-driven question generation model for educational content

Richard G. Baraniuk, Andrew S. Lan, Andrew E. Waters, 2018, L@S.

A Spline Theory of Deep Learning

Richard G. Baraniuk, Randall Balestriero, Richard Baraniuk, 2018, ICML 2018.

Analytical Probability Distributions and EM-Learning for Deep Generative Networks pdf

Richard G. Baraniuk, Randall Balestriero, Sebastien Paris, 2020, ArXiv.

Warping time-frequency and time-scale representations to match signals

Richard G. Baraniuk, 1995, Defense, Security, and Sensing.

Non-redundant, linear-phase, semi-orthogonal, directional complex wavelets [image/video processing applications]

Richard G. Baraniuk, Michael B. Wakin, Felix C. A. Fernandes, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Sudocodes ߝ Fast Measurement and Reconstruction of Sparse Signals

Richard G. Baraniuk, Shriram Sarvotham, Dror Baron, 2006, 2006 IEEE International Symposium on Information Theory.

Spectroscopic imaging using terahertz time-domain signals

Robert D. Nowak, Richard G. Baraniuk, Daniel Mittleman, 2000, 4th IEEE Southwest Symposium on Image Analysis and Interpretation.

Multiscale queueing analysis

Richard G. Baraniuk, Rudolf H. Riedi, Vinay J. Ribeiro, 2006, TNET.

Spline Filters For End-to-End Deep Learning

Hervé Glotin, Richard G. Baraniuk, Randall Balestriero, 2018, ICML.

Wavelet-domain filtering for photon imaging systems

Robert D. Nowak, Richard G. Baraniuk, Richard Baraniuk, 1999, IEEE Trans. Image Process..

Multiscale Compressive Video Acquisition

Aswin C. Sankaranarayanan, Richard G. Baraniuk, Christoph Studer, 2013 .

Democratic Representations pdf

Wotao Yin, Richard G. Baraniuk, Tom Goldstein, 2014, ArXiv.

Video Compressive Sensing for Spatial Multiplexing Cameras Using Motion-Flow Models

Aswin C. Sankaranarayanan, Richard G. Baraniuk, Yun Li, 2015, SIAM J. Imaging Sci..

Optimal phase kernels for time-frequency analysis

Richard G. Baraniuk, L. Fridtjof Wisur-Olsen, Richard Baraniuk, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Lensless Imaging: A computational renaissance

Aswin C. Sankaranarayanan, Richard G. Baraniuk, Ashok Veeraraghavan, 2016, IEEE Signal Processing Magazine.

Geometry Compression of Normal Meshes Using Rate-Distortion Algorithms

Richard G. Baraniuk, Hyeokho Choi, Sridhar Lavu, 2003, Symposium on Geometry Processing.

Compressed Sensing

Richard G. Baraniuk, Shriram Sarvotham, Dror Baron, 2014, Computer Vision, A Reference Guide.

RHash: Robust Hashing via L_infinity-norm Distortion

Richard G. Baraniuk, Andrew S. Lan, Anshumali Shrivastava, 2017, IJCAI.

Dynamic model generation for application of compressed sensing to cryo-electron tomography reconstruction

Richard G. Baraniuk, Wah Chiu, Christopher A. Metzler, 2015, 2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE).

Neural Rendering Model: Joint Generation and Prediction for Semi-Supervised Learning pdf

Michael I. Jordan, Richard G. Baraniuk, Anima Anandkumar, 2018, ArXiv.

Controlling False Alarms With Support Vector Machines

Richard G. Baraniuk, Clayton D. Scott, Mark A. Davenport, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Quantization of Sparse Representations

Richard G. Baraniuk, Petros Boufounos, Richard Baraniuk, 2007, 2007 Data Compression Conference (DCC'07).

Multiscale Traffic Processing Techniques for Network Inference and Control

Richard G. Baraniuk, Rudolf H. Riedi, Robert Nowak, 2006 .

Design and Analysis of Compressive Sensing Radar Detectors

Richard G. Baraniuk, Arian Maleki, Laura Anitori, 2012 .

A single pixel camera based on white-noise compressed sensing

Richard G. Baraniuk, Michael B. Wakin, Shriram Sarvotham, 2006 .

Hidden Markov tree modeling of complex wavelet transforms

Nick G. Kingsbury, Justin K. Romberg, Richard G. Baraniuk, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Compressive CFAR Radar Processing

Richard G. Baraniuk, Arian Maleki, M.P.G. Otten, 2013 .

Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors

Laurent Jacques, Richard G. Baraniuk, Petros Boufounos, 2011, IEEE Transactions on Information Theory.

Lifting for nonlinear wavelet processing

Richard G. Baraniuk, Robert Nowak, Roger L. Claypoole, 1999, Optics & Photonics.

Robust Distributed Estimation Using the Embedded Subgraphs Algorithm

Richard G. Baraniuk, Véronique Delouille, Ramesh Neelamani, 2006, IEEE Transactions on Signal Processing.

Rice Consortium for Computational Seismic Interpretation

Richard G. Baraniuk, Jan E. Odegard, C. Sidney Burrus, 1998 .

A new compressive imaging camera architecture using optical-domain compression

Richard G. Baraniuk, Michael B. Wakin, Shriram Sarvotham, 2006, Electronic Imaging.

Representing Formal Languages: A Comparison Between Finite Automata and Recurrent Neural Networks pdf

Abhinav Verma, Swarat Chaudhuri, Richard G. Baraniuk, 2019, ICLR.

Learning Low-Dimensional Signal Models

Volkan Cevher, David B. Dunson, Guillermo Sapiro, 2011, IEEE Signal Processing Magazine.

Bayesian tree-structured image modeling

Justin K. Romberg, Richard G. Baraniuk, Hyeokho Choi, 2000, 4th IEEE Southwest Symposium on Image Analysis and Interpretation.

The Connexions Project: Promoting Open Sharing of Knowledge for Education

Richard G. Baraniuk, Geneva Henry, Christopher Kelty, 2003 .

Recent advances in terahertz imaging

Maya R. Gupta, Richard G. Baraniuk, Daniel M. Mittleman, 1999 .

Self-Expressive Decompositions for Matrix Approximation and Clustering pdf

Richard G. Baraniuk, Tom Goldstein, Konrad P. Körding, 2015, ArXiv.

Recovering Spikes from Noisy Neuronal Calcium Signals via Structured Sparse Approximation

Richard G. Baraniuk, Don H. Johnson, Eva L. Dyer, 2010, LVA/ICA.

Asymptotic performance of transmit diversity via OFDM for multipath channels

Richard G. Baraniuk, Nadeem Ahmed, 2002, Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE.

MISSION: Ultra Large-Scale Feature Selection using Count-Sketches pdf

Richard G. Baraniuk, Anshumali Shrivastava, Gautam Dasarathy, 2018, ICML.

Flat focus: depth of field analysis for the FlatCam lensless imaging system

Richard G. Baraniuk, Ashok Veeraraghavan, Jasper Tan, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The Implicit Regularization of Ordinary Least Squares Ensembles

Richard G. Baraniuk, Daniel LeJeune, Hamid Javadi, 2020, AISTATS.

The polyphase random demodulator for wideband compressive sensing

Richard G. Baraniuk, Jason N. Laska, John P. Slavinsky, 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

Semi-Supervised Learning Enabled by Multiscale Deep Neural Network Inversion pdf

Hervé Glotin, Richard G. Baraniuk, Randall Balestriero, 2018, ArXiv.

Robust distributed estimation in sensor networks using the embedded polygons algorithm

Richard G. Baraniuk, Véronique Delouille, Ramesh Neelamani, 2004, Third International Symposium on Information Processing in Sensor Networks, 2004. IPSN 2004.

Near-Isometric Binary Hashing for Large-scale Datasets pdf

Richard G. Baraniuk, Andrew S. Lan, Anshumali Shrivastava, 2016, ArXiv.

Terahertz imaging with compressed sensing and phase retrieval

Richard G. Baraniuk, Wai Lam Chan, Daniel M. Mittleman, 2008 .

A signal-dependent time-frequency representation: optimal kernel design

Douglas L. Jones, Richard G. Baraniuk, Richard Baraniuk, 1993, IEEE Trans. Signal Process..

Wavelet and Multiscale Analysis of Network Traffic

Richard G. Baraniuk, Patrice Abry, Patrick Flandrin, 2002 .

Model Classes, Approximation, and Metrics for Dynamic Processing of Urban Terrain Data

Richard G. Baraniuk, Stanley Osher, Andrew J. Kurdila, 2013 .

A Contextual Bandits Framework for Personalized Learning Action Selection

Richard G. Baraniuk, Andrew S. Lan, Richard Baraniuk, 2016, EDM.

DSP Education At Rice University

Richard G. Baraniuk, Hyeokho Choi, Patrick Frantz, 2003 .

INCITE: Edge-based Traffic Processing and Inference for High-Performance Networks

Wu-chun Feng, Richard G. Baraniuk, Robert Nowak, 2005 .

From Denoising to Compressed Sensing

Richard G. Baraniuk, Arian Maleki, Christopher A. Metzler, 2014, IEEE Transactions on Information Theory.

FlatCam: Thin, Lensless Cameras Using Coded Aperture and Computation

Aswin C. Sankaranarayanan, Richard G. Baraniuk, Ashok Veeraraghavan, 2017, IEEE Transactions on Computational Imaging.

Near-isometric linear embeddings of manifolds

Chinmay Hegde, Aswin C. Sankaranarayanan, Richard G. Baraniuk, 2012, 2012 IEEE Statistical Signal Processing Workshop (SSP).

Collaboration-Type Identification in Educational Datasets.

Richard G. Baraniuk, Christoph Studer, Andrew E. Waters, 2014, EDM 2014.

Recovery of Jointly Sparse Signals from Few Random Projections

Richard G. Baraniuk, Michael B. Wakin, Shriram Sarvotham, 2005, NIPS.

Multiscale classification using complex wavelets and hidden Markov tree models

Nick G. Kingsbury, Justin K. Romberg, Richard G. Baraniuk, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

SpaRCS: Recovering low-rank and sparse matrices from compressive measurements

Aswin C. Sankaranarayanan, Richard G. Baraniuk, Andrew E. Waters, 2011, NIPS.

Wavelet statistical models and Besov spaces

Richard G. Baraniuk, Hyeokho Choi, 1999 .

Time-frequency complexity and information

Olivier J. J. Michel, Richard G. Baraniuk, Patrick Flandrin, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

Spatio-temporal available bandwidth estimation with STAB

Richard G. Baraniuk, Rudolf H. Riedi, Vinay J. Ribeiro, 2004, SIGMETRICS '04/Performance '04.

Multiscale Queuing Analysis

Richard G. Baraniuk, Rudolf H. Riedi, Vinay J. Ribeiro, 2004 .

A multiscale data representation for distributed sensor networks

Richard G. Baraniuk, Shriram Sarvotham, Raymond S. Wagner, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Nonlinear wavelet transforms for image coding via lifting

Richard G. Baraniuk, Roger L. Claypoole, Wim Sweldens, 2003, IEEE Trans. Image Process..

Joint Distributions of Arbitrary Variables Made Easy

Richard G. Baraniuk, Richard Baraniuk, 1996, 1996 IEEE Digital Signal Processing Workshop Proceedings.

Optimal Signaling Strategies for Symmetric and Asymmetric Bit-Rate Communication Services in the Presence of Crosstalk

Richard G. Baraniuk, Rohit V. Gaikwad, Richard Baraniuk, 1999 .

Multiplicative multiscale image decompositions: analysis and modeling

Justin K. Romberg, Richard G. Baraniuk, Rudolf H. Riedi, 2000, SPIE Optics + Photonics.

IEEE-SPS and Connexions - An Open Access Education Collaboration [Society News]

Richard G. Baraniuk, C. Sidney Burrus, E. Joel Thierstein, 2007, IEEE Signal Process. Mag..

Wavelet statistical models and Besov spaces

Richard G. Baraniuk, Hyeokho Choi, 1999, Optics & Photonics.

CS radar imaging via adaptive CAMP

Richard G. Baraniuk, Arian Maleki, Peter Hoogeboom, 2012 .

Sketched covariance testing: A compression-statistics tradeoff

Parikshit Shah, Richard G. Baraniuk, Gautam Dasarathy, 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

Trust, But Verify: Fast and Accurate Signal Recovery From 1-Bit Compressive Measurements

Wotao Yin, Richard G. Baraniuk, Jason N. Laska, 2011, IEEE Transactions on Signal Processing.

Measurement Bounds for Sparse Signal Ensembles via Graphical Models

Richard G. Baraniuk, Michael B. Wakin, Shriram Sarvotham, 2011, IEEE Transactions on Information Theory.

Multi-Signal, Multi-Modal Data Acquisition and Processing Based on Compressive Sensing

Richard G. Baraniuk, 2008 .

DeepCodec: Adaptive sensing and recovery via deep convolutional neural networks

Richard G. Baraniuk, Gautam Dasarathy, Ali Mousavi, 2017, 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Multiscale edge grammars for complex wavelet transforms

Justin K. Romberg, Richard G. Baraniuk, Hyeokho Choi, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

Anisotropic Nonlocal Means Denoising pdf

Richard G. Baraniuk, Arian Maleki, Manjari Narayan, 2011, ArXiv.

Wavelet folding and decorrelation across the scale

Richard G. Baraniuk, Damian M. Tan, Raymond O. Wells, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Distributed image compression for sensor networks using correspondence analysis and super-resolution

Robert D. Nowak, Richard G. Baraniuk, Raymond S. Wagner, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Near Best Tree Approximation

Richard G. Baraniuk, Ronald A. DeVore, George Kyriazis, 2002, Adv. Comput. Math..

Connection-Level Modeling of Network Traffic

Xin Wang, Richard G. Baraniuk, Shriram Sarvotham, 2002 .

FlatCam: Replacing Lenses with Masks and Computation

Aswin C. Sankaranarayanan, Richard G. Baraniuk, Ashok Veeraraghavan, 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements

Richard G. Baraniuk, Divyanshu Vats, Richard Baraniuk, 2013, NIPS.

Adaptive step size selection for optimization via the ski rental problem

Richard G. Baraniuk, Tom Goldstein, Divyanshu Vats, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Compressive phase retrieval

Richard G. Baraniuk, Justin Romberg, Matthew L. Moravec, 2007, SPIE Optical Engineering + Applications.

BM3D-AMP: A new image recovery algorithm based on BM3D denoising

Richard G. Baraniuk, Arian Maleki, Christopher A. Metzler, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Neurally plausible sparse coding via thresholding and local competition

Richard G. Baraniuk, Bruno A. Olshausen, Don H. Johnson, 2007 .

JPEG compression history estimation for color images

Sanjeeb Dash, Richard G. Baraniuk, Ricardo L. de Queiroz, 2003, IEEE Transactions on Image Processing.

Texas Two-Step: A Framework for Optimal Multi-Input Single-Output Deconvolution

Max Deffenbaugh, Richard G. Baraniuk, Ramesh Neelamani, 2007, IEEE Transactions on Image Processing.

Learned D-AMP: A Principled CNN-based Compressive Image Recovery Algorithm pdf

Richard G. Baraniuk, Ali Mousavi, Christopher A. Metzler, 2017, ArXiv.

Coherent Multiscale Image Processing Using Dual-Tree Quaternion Wavelets

Richard G. Baraniuk, Wai Lam Chan, Hyeokho Choi, 2008, IEEE Transactions on Image Processing.

Sigma delta quantization for compressive sensing

Richard G. Baraniuk, Petros T. Boufounos, Richard Baraniuk, 2007, SPIE Optical Engineering + Applications.

BM3D-PRGAMP: Compressive phase retrieval based on BM3D denoising

Richard G. Baraniuk, Arian Maleki, Christopher A. Metzler, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

An information-theoretic measure of dependency among variables in large datasets

Richard G. Baraniuk, Ali Mousavi, Richard Baraniuk, 2015, 2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Multiresolution wedgelet transform for image processing

Richard G. Baraniuk, Roger L. Claypoole, 2000, SPIE Optics + Photonics.

Sparse Signal Detection from Incoherent Projections

Richard G. Baraniuk, Michael B. Wakin, Marco F. Duarte, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Extreme Compressed Sensing of Poisson Rates from Multiple Measurements

Richard G. Baraniuk, Daniel LeJeune, Rebekah A. Drezek, 2021 .

Minipatch Learning as Implicit Ridge-Like Regularization

Richard G. Baraniuk, Genevera I. Allen, Daniel LeJeune, 2021, 2021 IEEE International Conference on Big Data and Smart Computing (BigComp).

Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints pdf

Richard G. Baraniuk, Andrew S. Lan, Zichao Wang, 2021, EMNLP.

Unrolling Particles: Unsupervised Learning of Sampling Distributions pdf

Santiago Segarra, Fernando Gama, Richard G. Baraniuk, 2021, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Educational Question Mining At Scale: Prediction, Analysis and Personalization

Sebastian Tschiatschek, Zichao Wang, Richard G. Baraniuk, 2021, AAAI.

Wearing A Mask: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels

Zichao Wang, Richard G. Baraniuk, Ahmed Imtiaz Humayun, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Towards Blooms Taxonomy Classification Without Labels

Richard G. Baraniuk, Zichao Wang, Kyle Manning, 2021, AIED.

Mathematical Formula Representation via Tree Embeddings

Richard G. Baraniuk, Andrew S. Lan, Zichao Wang, 2021, iTextbooks@AIED.

Transformer with a Mixture of Gaussian Keys pdf

Richard G. Baraniuk, Nhat Ho, Stanley J. Osher, 2021, ArXiv.

NeuroView: Explainable Deep Network Decision Making pdf

Richard G. Baraniuk, Randall Balestriero, CJ Barberan, 2021, ArXiv.

The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization pdf

Richard G. Baraniuk, Daniel LeJeune, Hamid Javadi, 2021, NeurIPS.

A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning pdf

Richard G. Baraniuk, Yehuda Dar, Vidya Muthukumar, 2021, ArXiv.

Evaluating generative networks using Gaussian mixtures of image features pdf

Richard G. Baraniuk, Michael J. Henry, Lorenzo Luzi, 2021, ArXiv.

NePTuNe: Neural Powered Tucker Networkfor Knowledge Graph Completion

Richard G. Baraniuk, Arzoo Katiyar, Shashank Sonkar, 2021, IJCKG.

Scientific Formula Retrieval via Tree Embeddings

Richard G. Baraniuk, Andrew S. Lan, Mengxue Zhang, 2021, 2021 IEEE International Conference on Big Data (Big Data).

NFT-K: Non-Fungible Tangent Kernels pdf

Richard G. Baraniuk, Blake Mason, Lorenzo Luzi, 2021, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Transfer Learning Can Outperform the True Prior in Double Descent Regularization pdf

Richard G. Baraniuk, Yehuda Dar, 2021, ArXiv.

A Relationship Selection Task (short paper)

Richard G. Baraniuk, Vinay K. Chaudhri, Andrew E. Waters, 2021, iTextbooks@AIED.

Theoretical performance limits for jointly sparse signals via graphical models

Richard G. Baraniuk, Michael B. Wakin, Shriram Sarvotham, 2008 .

Joint Sparsity Models for Distributed Compressed Sensing

Richard G. Baraniuk, Michael B. Wakin, Shriram Sarvotham, 2005 .

Approximation and compression of scattered data by meshless multiscale decompositions

Richard G. Baraniuk, R. Wagner, Richard Baraniuk, 2008 .

Greedy Feature Selection for Subspace Clustering Greedy Feature Selection for Subspace Clustering

Aswin C. Sankaranarayanan, Richard G. Baraniuk, Eva L. Dyer, 2012 .

Peer to Peer Collaboration using Connexions

Richard G. Baraniuk, Geneva Henry, 2004 .

A multifractal wavelet model for positive processes

Richard G. Baraniuk, Rudolf H. Riedi, Vinay J. Ribeiro, 1998, Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380).

Empirical mode decomposition based time-frequency attributes

Richard G. Baraniuk, Ivan Magrin-Chagnolleau, 1999 .

Empirical Mode Decomposition Based Frequency Attributes

Richard G. Baraniuk, Ivan Magrin-Chagnolleau, Richard Baraniuk, 1999 .

Wavelet Domain Filtering for Nuclear Medicine

Richard G. Baraniuk, Robert S. Hellman, ImagingRobert D. Nowak, 1996 .

Optimally weighted highpass filters using multiscale analysis

Richard G. Baraniuk, Robert Nowak, Richard Baraniuk, 1996, Proceeding of Southwest Symposium on Image Analysis and Interpretation.

Multiple window time-frequency analysis

Richard G. Baraniuk, Richard Baraniuk, Metin Bayram, 1996, Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96).

Quadratic Time-Frequency Analysis III: The Affine Class and Other Covariant Classes

Richard G. Baraniuk, Jean Philippe Ovarlez, Paulo Gonçalves, 2010 .

A limitation of the kernel method for joint distributions of arbitrary variables

Richard G. Baraniuk, 1996, IEEE Signal Processing Letters.

A Multifractal Wavelet Model with Application to Network Traac Riedi Et Al.: Multifractal Wavelet Model with Application to Network Traffic 1

Richard G. Baraniuk, Vinay J. Ribeiro, H. Riedi, 1998 .

MANIFOLD-BASED APPROACHES FOR IMPROVED CLASSIFICATION

Chinmay Hegde, Richard G. Baraniuk, Michael B. Wakin, 2007 .

Realization of Confocal and Hyperspectral Microscopy via Compressive Sensing

Richard G. Baraniuk, Marco F. Duarte, Kevin F. Kelly, 2008 .

Wigner-Ville spectrum estimation via wavelet soft-thresholding

Richard G. Baraniuk, 1994, Proceedings of IEEE-SP International Symposium on Time- Frequency and Time-Scale Analysis.

Compressing Piecewise Smooth Multidimensional Functions Using Surflets: Rate-Distortion Analysis

Venkat Chandrasekaran, Richard G. Baraniuk, Michael B. Wakin, 2004 .

Recovery of frequency-sparse signals from compressive measurements

Richard G. Baraniuk, Marco F. Duarte, Richard Baraniuk, 2010, 2010 48th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Fast , Exact Synthesis of Gaussian and nonGaussianLong-Range-Dependent

Richard G. Baraniuk, Richard Baraniuk, ProcessesMatthew S. Crouse, 1999 .

A simple scheme for adapting time-frequency representations

Douglas L. Jones, Richard G. Baraniuk, Richard Baraniuk, 1994, [1992] Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis.

Fast, Exact Synthesis of Gaussian and nonGaussian Long-Range-Dependent Processes

Richard G. Baraniuk, Richard Baraniuk, M. Crouse, 2009 .

Efficient Machine Learning Using Random Projections

Chinmay Hegde, Richard G. Baraniuk, Michael B. Wakin, 2007 .

Directional Scale Analysis For Seismic Interpretation

Richard G. Baraniuk, Rutger L. C. van Spaendonck, 1999 .

Network Traffic Modeling Using a Multifractal Wavelet Model

Richard G. Baraniuk, Rudolf H. Riedi, Vinay J. Ribeiro, 2001 .

Signal Representation with Minimum L_Infinity Norm

Wotao Yin, Richard G. Baraniuk, C. Studer, 2012 .

Compressed Sensing Phase Retrieval

Justin K. Romberg, Richard G. Baraniuk, Matthew L. Moravec, 2007 .