Swayambhoo Jain

According to our database1, Swayambhoo Jain authored at least 29 papers between 2012 and 2022.

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

Timeline

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Links

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Bibliography

2022
Overview of the Neural Network Compression and Representation (NNR) Standard.
IEEE Trans. Circuits Syst. Video Technol., 2022

2021
Data-Driven Low-Rank Neural Network Compression.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Deep Autoencoder-based Massive MIMO CSI Feedback with Quantization and Entropy Coding.
Proceedings of the IEEE Global Communications Conference, 2021

MCformer: A Transformer Based Deep Neural Network for Automatic Modulation Classification.
Proceedings of the IEEE Global Communications Conference, 2021

A Comparison of Classical and Deep Learning-based Techniques for Compressing Signals in a Union of Subspaces.
Proceedings of the 31st Data Compression Conference, 2021

Low Rank Based End-to-End Deep Neural Network Compression.
Proceedings of the 31st Data Compression Conference, 2021

Efficacy of Bayesian Neural Networks in Active Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks.
Proceedings of the Information Theory and Applications Workshop, 2020

2019
Learning Generative Models of Structured Signals from Their Superposition Using GANs with Application to Denoising and Demixing.
CoRR, 2019

Matrix Completion in the Unit Hypercube via Structured Matrix Factorization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Unsupervised Demixing of Structured Signals from Their Superposition Using GANs.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Efficient Randomized Defense against Adversarial Attacks in Deep Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

Leaming Structured Signals Using GAN s with Applications in Denoising and Demixing.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Block CUR: Decomposing Matrices Using Groups of Columns.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2017
A Compressed Sensing Based Decomposition of Electrodermal Activity Signals.
IEEE Trans. Biomed. Eng., 2017

Improved Support Recovery Guarantees for the Group Lasso With Applications to Structural Health Monitoring.
CoRR, 2017

Block CUR : Decomposing Large Distributed Matrices.
CoRR, 2017

Rank-to-engage: New Listwise Approaches to Maximize Engagement.
CoRR, 2017

Noisy inductive matrix completion under sparse factor models.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Noisy tensor completion for tensors with a sparse canonical polyadic factor.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Convolutional approximations to linear dimensionality reduction operators.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Group-level support recovery guarantees for group lasso estimator.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Backhaul-Constrained Multicell Cooperation Leveraging Sparsity and Spectral Clustering.
IEEE Trans. Wirel. Commun., 2016

Noisy Matrix Completion Under Sparse Factor Models.
IEEE Trans. Inf. Theory, 2016

2015
Locating rare and weak material anomalies by convex demixing of propagating wavefields.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
Backhaul-Constrained Multi-Cell Cooperation Leveraging Sparsity and Spectral Clustering.
CoRR, 2014

Error bounds for maximum likelihood matrix completion under sparse factor models.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013
Compressive measurement designs for estimating structured signals in structured clutter: A Bayesian Experimental Design approach.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Backhaul-constrained multi-cell cooperation using compressive sensing and spectral clustering.
Proceedings of the 13th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2012


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