Kartheek Nareddy

2026

1. ICASSP 26

   Sparse recovery using tight frames and minimax concave penalty

   K. K. R. Nareddy, A. S. Bhandiwad, A. J. Kamath, and C. S. Seelamantula

   In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2026

   Abs DOI

   Sparse signal recovery is an important problem in compressed sensing, signal/image processing, computational imaging and machine learning. The design of the sensing matrix is crucial in compressed sensing. While random Gaussian sensing matrices are relatively easier to construct, it is known that matrices constituting a tight frame provide superior reconstruction performance. We formulate the problem of sparse signal recovery using a new data-fidelity term that effectively "tightens" the sensing matrix, and incorporate the minimax concave penalty (MCP) instead of the ℓ1-norm for promoting sparsity. We carry out the optimization using a proximal gradient method and its Nesterov accelerated counterpart. Simulation results demonstrate that the proposed algorithms result in up to three times faster convergence and superior reconstruction accuracy over benchmark methods.

2025

1. ICASSP 25

   Some Intriguing Observations on the Learnt Matrices in Deep Unfolded Networks

   K. K. R. Nareddy, I. Perumal, and C. S. Seelamantula

   In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2025

   BIB URL

   @inproceedings{nareddy2025intriguing,
     author = {Nareddy, K. K. R. and Perumal, I. and Seelamantula, C. S.},
     booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {Some Intriguing Observations on the Learnt Matrices in Deep Unfolded Networks},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:gKiMpY-AVTkC},
     year = {2025}
   }

2024

1. SIIMS 24

   Tight-Frame-Like Analysis-Sparse Recovery Using Nontight Sensing Matrices

   K. K. R. Nareddy, A. J. Kamath, and C. S. Seelamantula

   SIAM Journal on Imaging Sciences, Apr 2024

   Article BIB URL

   @article{nareddy2024tight,
     article_page = {/articles/tight-frame-data-fidelity/},
     author = {Nareddy, K. K. R. and Kamath, A. J. and Seelamantula, C. S.},
     journal = {SIAM Journal on Imaging Sciences},
     number = {3},
     pages = {1587--1618},
     title = {Tight-Frame-Like Analysis-Sparse Recovery Using Nontight Sensing Matrices},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:5MTHONV0fEkC},
     volume = {17},
     year = {2024}
   }

2. ICASSP 24

   Image Restoration with Generalized L2 Loss and Convergent Plug-and-Play Priors

   K. K. R. Nareddy, A. J. Kamath, and C. S. Seelamantula

   In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2024

   BIB URL

   @inproceedings{nareddy2024image,
     author = {Nareddy, K. K. R. and Kamath, A. J. and Seelamantula, C. S.},
     booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {Image Restoration with Generalized L2 Loss and Convergent Plug-and-Play Priors},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:8xutWZnSdmoC},
     year = {2024}
   }

2022

1. ICIP 22

   An ensemble of proximal networks for sparse coding

   K. K. R. Nareddy, S. Mache, P. K. Pokala, and C. S. Seelamantula

   In IEEE International Conference on Image Processing (ICIP), Apr 2022

   BIB URL

   @inproceedings{nareddy2022ensemble,
     author = {Nareddy, K. K. R. and Mache, S. and Pokala, P. K. and Seelamantula, C. S.},
     booktitle = {IEEE International Conference on Image Processing (ICIP)},
     pages = {1251--1255},
     title = {An ensemble of proximal networks for sparse coding},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:4vMrXwiscB8C},
     year = {2022}
   }

2021

1. arXiv 21

   Quantized proximal averaging network for analysis sparse coding

   K. K. R. Nareddy, M. M. Bulusu, P. K. Pokala, and C. S. Seelamantula

   arXiv preprint arXiv:2105.06211, Apr 2021

   BIB URL

   @article{nareddy2021quantized_proximal,
     author = {Nareddy, K. K. R. and Bulusu, M. M. and Pokala, P. K. and Seelamantula, C. S.},
     journal = {arXiv preprint arXiv:2105.06211},
     title = {Quantized proximal averaging network for analysis sparse coding},
     url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:XvxMoLDsR5gC},
     year = {2021}
   }