Saurabh Khanna

Orcid: 0000-0003-4276-3949

According to our database1, Saurabh Khanna authored at least 18 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Semi-NMF Regularization-Based Autoencoder Training for Hyperspectral Unmixing.
Proceedings of the National Conference on Communications, 2024

2023
Who Provides the Largest Megaphone? The Role of Google News in Promoting Russian State-Affiliated News Sources.
CoRR, 2023

Proximal Subgradient Descent Method for Cancelling Cross-Interference in FMCW Radars.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

Desketching of R-Separable Matrices From Compressive Linear Measurements.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

2022
On the Support Recovery of Jointly Sparse Gaussian Sources via Sparse Bayesian Learning.
IEEE Trans. Inf. Theory, 2022

Recalibrating the scope of scholarly publishing: A modest step in a vast decolonization process.
Quant. Sci. Stud., 2022

2020
Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Corrections to "On the Restricted Isometry of the Columnwise Khatri-Rao Product".
IEEE Trans. Signal Process., 2019

2018
On the Restricted Isometry of the Columnwise Khatri-Rao Product.
IEEE Trans. Signal Process., 2018

Sparse Recovery From Multiple Measurement Vectors Using Exponentiated Gradient Updates.
IEEE Signal Process. Lett., 2018

2017
Communication-Efficient Decentralized Sparse Bayesian Learning of Joint Sparse Signals.
IEEE Trans. Signal Inf. Process. over Networks, 2017

Decentralized Joint-Sparse Signal Recovery: A Sparse Bayesian Learning Approach.
IEEE Trans. Signal Inf. Process. over Networks, 2017

On the Support Recovery of Jointly Sparse Gaussian Sources using Sparse Bayesian Learning.
CoRR, 2017

Rényi divergence based covariance matching pursuit of joint sparse support.
Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017

2016
Designing a Game-Based Learning Environment to Foster Geometric Thinking.
Proceedings of the Eighth IEEE International Conference on Technology for Education, 2016

2015
Consensus based Decentralized Sparse Bayesian Learning for Joint Sparse Signal Recovery.
CoRR, 2015

2014
Decentralized Bayesian learning of jointly sparse signals.
Proceedings of the IEEE Global Communications Conference, 2014

2013
Techniques to enhance GNSS signal acquisition and tracking sensitivity.
Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2013


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