World's Best Scientists 2026 revealed!

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Computer Science

D-Index
90
Citations
38887
World Ranking
603
National Ranking
324

Research.com Recognitions

  • 2010 - IEEE Fellow For contributions to statistical signal and image processing

Overview

Robert Nowak is affiliated with the University of Wisconsin-Madison in the United States. Their research primarily focuses on the field of Computer Science, with a concentration on Artificial Intelligence. Other notable subfields in their work include Management Science and Operations Research, Computational Mechanics, Computer Vision and Pattern Recognition, and Statistical and Nonlinear Physics.

The scientist has an extensive publication record, with a significant number of papers appearing on arXiv (Cornell University). Other frequent publication venues include Affective Science, SIAM Journal on Mathematics of Data Science, Proceedings of the AAAI Conference on Artificial Intelligence, and IEEE Signal Processing Letters.

Key topics that characterize their research include Machine Learning and Algorithms, Machine Learning and Data Classification, Advanced Bandit Algorithms Research, Sparse and Compressive Sensing Techniques, Model Reduction and Neural Networks, Neural Networks and Applications, and Stochastic Gradient Optimization Techniques.

Among the recent papers authored or coauthored by Robert Nowak are:

  • "The Role of Neural Network Activation Functions," 2020, IEEE Signal Processing Letters
  • "Evidence for Distinct Facial Signals of Reward, Affiliation, and Dominance from Both Perception and Production Tasks," 2021, Affective Science
  • "Banach Space Representer Theorems for Neural Networks and Ridge Splines," 2020, arXiv (Cornell University)
  • "What Kinds of Functions Do Deep Neural Networks Learn? Insights from Variational Spline Theory," 2022, SIAM Journal on Mathematics of Data Science
  • "Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks," 2022, IEEE Transactions on Information Theory

Their frequent coauthors include Rahul Parhi, Jifan Zhang, Yinglun Zhu, Ardhendu Tripathy, and Julian Katz-Samuels. Among these, collaborations with Rahul Parhi and Jifan Zhang are notably recurrent.

In recognition of their contributions, Robert Nowak was awarded the title of IEEE Fellow in 2010 for contributions to statistical signal and image processing.

Best Publications

  • Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems

    M.A.T. Figueiredo;R.D. Nowak;S.J. Wright

  • Wavelet-based statistical signal processing using hidden Markov models

    M.S. Crouse;R.D. Nowak;R.G. Baraniuk

  • Sparse Reconstruction by Separable Approximation

    S.J. Wright;R.D. Nowak;M.A.T. Figueiredo

  • An EM algorithm for wavelet-based image restoration

    M.A.T. Figueiredo;R.D. Nowak

  • Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels

    Waheed U Bajwa;Jarvis Haupt;Akbar M Sayeed;Robert Nowak

  • Distributed optimization in sensor networks

    Michael Rabbat;Robert Nowak

  • Wavelet-based Rician noise removal for magnetic resonance imaging

    R.D. Nowak

  • Signal Reconstruction From Noisy Random Projections

    J. Haupt;R. Nowak

  • Compressed Sensing for Networked Data

    J. Haupt;W.U. Bajwa;M. Rabbat;R. Nowak

  • Internet tomography

    A. Coates;A.O. Hero;R. Nowak;Bin Yu

  • Majorization–Minimization Algorithms for Wavelet-Based Image Restoration

    M.A.T. Figueiredo;J.M. Bioucas-Dias;R.D. Nowak

  • Network Tomography: Recent Developments

    Rui Castro;Mark Coates;Gang Liang;Robert Nowak

  • Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation

    J Haupt;W U Bajwa;G Raz;R Nowak

  • Compressive wireless sensing

    Waheed Bajwa;Jarvis Haupt;Akbar Sayeed;Robert Nowak

  • Online identification and tracking of subspaces from highly incomplete information

    Laura Balzano;Robert Nowak;Benjamin Recht

  • Computational segmentation of collagen fibers from second-harmonic generation images of breast cancer.

    Jeremy S. Bredfeldt;Yuming Liu;Carolyn A. Pehlke;Matthew W. Conklin

  • Quantized incremental algorithms for distributed optimization

    M.G. Rabbat;R.D. Nowak

  • Toeplitz-Structured Compressed Sensing Matrices

    Waheed U. Bajwa;Jarvis D. Haupt;Gil M. Raz;Stephen J. Wright

  • Adaptive wavelet transforms via lifting

    R.L. Claypoole;R.G. Baraniuk;R.D. Nowak

  • Distributed EM algorithms for density estimation and clustering in sensor networks

    R.D. Nowak

Frequent Co-Authors

Richard G. Baraniuk
Richard G. Baraniuk Rice University
Rebecca Willett
Rebecca Willett University of Chicago
Mário A. T. Figueiredo
Mário A. T. Figueiredo Instituto Superior Técnico
Michael Rabbat
Michael Rabbat Facebook (United States)
Clayton Scott
Clayton Scott University of Michigan–Ann Arbor
Mark Coates
Mark Coates McGill University
Xiaojin Zhu
Xiaojin Zhu University of Wisconsin–Madison
Paul Barford
Paul Barford University of Wisconsin–Madison
Aarti Singh
Aarti Singh Carnegie Mellon University
B.D. Van Veen
B.D. Van Veen University of Wisconsin–Madison

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