
An Enhanced Decoding Algorithm for Coded Compressed Sensing with Applications to Unsourced Random Access
Unsourced random access (URA) has emerged as a pragmatic framework for n...
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Scheduling Improves the Performance of Belief Propagation for Noisy Group Testing
This paper considers the noisy group testing problem where among a large...
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LDPC Codes with Soft Interference Cancellation for Uncoordinated Unsourced Multiple Access
This article presents a novel enhancement to the random spreading based ...
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Coded Compressed Sensing with Successive Cancellation List Decoding for Unsourced Random Access with Massive MIMO
Unsourced random access (URA) is an increasingly popular communication p...
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Stochastic Binning and Coded Demixing for Unsourced Random Access
Unsourced random access is a novel communication paradigm designed for h...
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A Hybrid Approach to Coded Compressed Sensing where Coupling Takes Place via the Outer Code
This article seeks to advance coded compressed sensing (CCS) as a practi...
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BayReL: Bayesian Relational Learning for Multiomics Data Integration
Highthroughput molecular profiling technologies have produced highdime...
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Unsourced Random Access with Coded Compressed Sensing: Integrating AMP and Belief Propagation
Sparse regression codes with approximate message passing (AMP) decoding ...
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TwoStage Adaptive Pooling with RTqPCR for COVID19 Screening
We propose twostage adaptive pooling schemes, 2STAP and 2STAMP, for d...
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On Accelerated Testing for COVID19 Using Group Testing
COVID19 has resulted in a global health crisis that may become even mor...
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On Approximate Message Passing for Unsourced Access with Coded Compressed Sensing
Sparse regression codes with approximate message passing (AMP) decoding ...
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Polar Coding and Random Spreading for Unsourced Multiple Access
This article presents a novel transmission scheme for the unsourced, unc...
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An enhanced decoding algorithm for coded compressed sensing
Coded compressed sensing is an algorithmic framework tailored to sparse ...
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Nonadaptive Quantitative Group Testing Using Irregular Sparse Graph Codes
This paper considers the problem of Quantitative Group Testing (QGT) whe...
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Variational Graph Recurrent Neural Networks
Representation learning over graph structured data has been mostly studi...
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SemiImplicit Graph Variational AutoEncoders
Semiimplicit graph variational autoencoder (SIGVAE) is proposed to ex...
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Factored LT and Factored Raptor Codes for LargeScale Distributed Matrix Multiplication
We propose two coding schemes for distributed matrix multiplication in t...
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Random KhatriRaoProduct Codes for NumericallyStable Distributed Matrix Multiplication
We propose a class of codes called random KhatriRaoProduct (RKRP) code...
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SpatiallyCoupled Neural Network Architectures
In this work, we leverage advances in sparse coding techniques to reduce...
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A Joint Graph Based Coding Scheme for the Unsourced Random Access Gaussian Channel
This article introduces a novel communication paradigm for the unsourced...
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Collaborative Decoding of Polynomial Codes for Distributed Computation
We show that polynomial codes (and some related codes) used for distribu...
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Sparse Graph Codes for Nonadaptive Quantitative Group Testing
This paper considers the problem of quantitative group testing with a no...
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Asynchronous Neighbor Discovery Using Coupled Compressive Sensing
The neighbor discovery paradigm finds wide application in Internet of Th...
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A Coupled Compressive Sensing Scheme for Uncoordinated Multiple Access
This article introduces a novel communication scheme for the uncoordinat...
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A Coupled Compressive Sensing Scheme for Unsourced Multiple Access
This article introduces a novel paradigm for the unsourced multipleacce...
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Krishna R. Narayanan
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