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Hi! I am Praneeth, a postdoctoral scholar at University of Southern California.

  • šŸ”­ Iā€™m currently working on Active and Federated Learning.
  • šŸŒ± Iā€™m currently learning Machine Learning and Signal Processing.
  • šŸ‘Æ Iā€™m looking to collaborate on any interesting problems in the general machine learning area!
  • šŸ’¬ Ask me about matrix factorization!
  • šŸ“« How to reach me: Best through email: [email protected].
  • šŸ˜„ Pronouns: He/Him

You can find more information on my homepage

Praneeth Narayanamurthy's Projects

correlated-pca icon correlated-pca

MATLAB implementation of "Finte Sample Guarantees for PCA in non-isotropic and data-dependent noise", Allerton, 2017 and ISIT, 2018.

covid-19-data icon covid-19-data

An ongoing repository of data on coronavirus cases and deaths in the U.S.

distributed-pca icon distributed-pca

MATLAB implementation of "Federated Over-Air Subspace Tracking from Incomplete and Corrupted Data", IEEE Transactions on Signal Processing, Jun 2022.

ee425-demos icon ee425-demos

Jupyter notebook demos for the senior level Machine Learning course at Iowa State University

low-rank-phase-retrieval icon low-rank-phase-retrieval

MATLAB implementation of "Phaseless Low Rank Matrix Recovery and Subspace Tracking", ICML 2019, longer version to appear in IEEE Transactions on Information Theory, 2020.

lrslibrary icon lrslibrary

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

merop icon merop

A MATLAB implementation of "Fast and Memory-Efficient algorithm for Robust PCA", ICASSP 2018.

norst icon norst

MATLAB implementation of "Nearly Optimal Robust Subspace Tracking", ICML 2018. Longer version to appear in IEEE Journal of Selected Areas in Information Theory, 2020.

norst-rmc icon norst-rmc

MATLAB implementation of "Provable Subspace Tracking from Missing Data and Matrix Completion", IEEE Transactions on Signal Processing, 2019.

reprocs icon reprocs

MATLAB implementation of "Provable Dynamic Robust PCA or Robust Subspace tracking", IEEE Transactions on Information Theory, 2019.

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