Afshin Abdi

CoRR, 2022

A Machine Learning Framework for Distributed Functional Compression over Wireless Channels in IoT.

[BibT_eX]

[DOI]

CoRR, 2022

A Machine Learning Framework for Privacy-Aware Distributed Functional Compression over AWGN Channels.

[BibT_eX]

[DOI]

Proceedings of the IEEE Information Theory Workshop, 2022

Deep Sequential Beamformer Learning for Multipath Channels in Mmwave Communication Systems.

[BibT_eX]

[DOI]

Aditya Sant

Joseph Soriaga

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Joint Source-Channel Coding Over Additive Noise Analog Channels Using Mixture of Variational Autoencoders.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2021

A General Framework for the Design of Compressive Sensing using Density Evolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE Information Theory Workshop, 2021

Analog Joint Source-Channel Coding for Distributed Functional Compression using Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

Distributed learning and inference in deep models.

[BibT_eX]

[DOI]

PhD thesis, 2020

Fast Convex Pruning of Deep Neural Networks.

[BibT_eX]

[DOI]

Alireza Aghasi

Justin Romberg

SIAM J. Math. Data Sci., 2020

Restructuring, Pruning, and Adjustment of Deep Models for Parallel Distributed Inference.

[BibT_eX]

[DOI]

CoRR, 2020

VAE for Joint Source-Channel Coding of Distributed Gaussian Sources over AWGN MAC.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Analog Compression and Communication for Federated Learning over Wireless MAC.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Indirect Stochastic Gradient Quantization and Its Application in Distributed Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Nested Dithered Quantization for Communication Reduction in Distributed Training.

[BibT_eX]

[DOI]

CoRR, 2019

Reducing Communication Overhead via CEO in Distributed Training.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Compressive Sensing with a Multiple Convex Sets Domain.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2019

Joint Source-Channel Coding for Gaussian Sources over AWGN Channels using Variational Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2019

Analysis of Sparse-integer Measurement Matrices in Compressive Sensing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

M to 1 Joint Source-Channel Coding of Gaussian Sources via Dichotomy of the Input Space Based on Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Data Compression Conference, 2019

Recovering Noisy-Pseudo-Sparse Signals From Linear Measurements via l∞.

[BibT_eX]

[DOI]

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

Joint Source-Channel Coding of Gaussian sources over AWGN channels via Manifold Variational Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018

Advances in Seismic Data Compression via Learning from Data: Compression for Seismic Data Acquisition.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2018

Seismic Signal Compression Through Delay Compensated and Entropy Constrained Dictionary Learning.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Sparse Recovery of Sign Vectors under Uncertain Sensing Matrices.

[BibT_eX]

[DOI]

Proceedings of the IEEE Information Theory Workshop, 2018

2017

Quantization in Molecular Signal Sensing via Biological Agents.

[BibT_eX]

[DOI]

Arash Einolghozati

IEEE Trans. Mol. Biol. Multi Scale Commun., 2017

Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Compressive sensing with energy constraint.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Information Theory Workshop, 2017

Recovery of sign vectors in quadratic compressed sensing.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Information Theory Workshop, 2017

Computing framework in biological cells via stochastic methods.

[BibT_eX]

[DOI]

Arash Einolghozati

Proceedings of the 2017 IEEE Information Theory Workshop, 2017

Optimal sensor selection in the presence of noise and interference.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Learning dictionary for efficient signal compression.

[BibT_eX]

[DOI]

Ali Payani

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Mixture source identification in non-stationary data streams with applications in compression.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Memory-assisted seismic signal compression based on dictionary learning and sparse coding.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016

Near optimal representative subset selection from short sequences generated by a stationary source.

[BibT_eX]

[DOI]

Ali Payani

Proceedings of the 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2016

Micro-RNA profile detection via factor graphs.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2016

Error correction for approximate computing.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015

Source identification and compression of mixture data from finite observations.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Information Theory Workshop, 2015

2005

On the design of FIR optimum orthonormal filter banks.

[BibT_eX]

[DOI]