Afshin Abdi

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 39

Top Topics

Compressive Sensing

Stochastic Methods

Top Venues

Publications

Gianluigi Silvestri, Fabio Valerio Massoli, Tribhuvanesh Orekondy, Afshin Abdi, Arash Behboodi
Reinforcement Learning of Adaptive Acquisition Policies for Inverse Problems. CoRR (2024)
Afshin Abdi, Saeed Rashidi, Faramarz Fekri, Tushar Krishna
Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning. AAAI (2023)
Hang Zhang, Afshin Abdi, Faramarz Fekri
Structure Learning in Graphical Models from Indirect Observations. CoRR (2022)
Aditya Sant, Afshin Abdi, Joseph Soriaga
Deep Sequential Beamformer Learning for Multipath Channels in Mmwave Communication Systems. ICASSP (2022)
Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri
A Machine Learning Framework for Distributed Functional Compression over Wireless Channels in IoT. CoRR (2022)
Yashas Malur Saidutta, Faramarz Fekri, Afshin Abdi
A Machine Learning Framework for Privacy-Aware Distributed Functional Compression over AWGN Channels. ITW (2022)
Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri
Joint Source-Channel Coding Over Additive Noise Analog Channels Using Mixture of Variational Autoencoders. IEEE J. Sel. Areas Commun. 39 (7) (2021)
Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri
Analog Joint Source-Channel Coding for Distributed Functional Compression using Deep Neural Networks. ISIT (2021)
Hang Zhang, Afshin Abdi, Faramarz Fekri
A General Framework for the Design of Compressive Sensing using Density Evolution. ITW (2021)
Alireza Aghasi, Afshin Abdi, Justin Romberg
Fast Convex Pruning of Deep Neural Networks. SIAM J. Math. Data Sci. 2 (1) (2020)
Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri
VAE for Joint Source-Channel Coding of Distributed Gaussian Sources over AWGN MAC. SPAWC (2020)
Afshin Abdi, Faramarz Fekri
Indirect Stochastic Gradient Quantization and Its Application in Distributed Deep Learning. AAAI (2020)
Afshin Abdi, Faramarz Fekri
Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning. AAAI (2020)
Afshin Abdi, Yashas Malur Saidutta, Faramarz Fekri
Analog Compression and Communication for Federated Learning over Wireless MAC. SPAWC (2020)
Afshin Abdi, Saeed Rashidi, Faramarz Fekri, Tushar Krishna
Restructuring, Pruning, and Adjustment of Deep Models for Parallel Distributed Inference. CoRR (2020)
Hang Zhang, Afshin Abdi, Faramarz Fekri
Compressive Sensing with a Multiple Convex Sets Domain. ISIT (2019)
Hang Zhang, Afshin Abdi, Faramarz Fekri
Recovering Noisy-Pseudo-Sparse Signals From Linear Measurements via l∞. Allerton (2019)
Afshin Abdi, Faramarz Fekri
Reducing Communication Overhead via CEO in Distributed Training. SPAWC (2019)
Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri
Joint Source-Channel Coding for Gaussian Sources over AWGN Channels using Variational Autoencoders. ISIT (2019)
Hang Zhang, Afshin Abdi, Faramarz Fekri
Analysis of Sparse-integer Measurement Matrices in Compressive Sensing. ICASSP (2019)
Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri
M to 1 Joint Source-Channel Coding of Gaussian Sources via Dichotomy of the Input Space Based on Deep Learning. DCC (2019)
Afshin Abdi, Faramarz Fekri
Nested Dithered Quantization for Communication Reduction in Distributed Training. CoRR (2019)
Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri
Joint Source-Channel Coding of Gaussian sources over AWGN channels via Manifold Variational Autoencoders. Allerton (2019)
Hang Zhang, Afshin Abdi, Faramarz Fekri
Sparse Recovery of Sign Vectors under Uncertain Sensing Matrices. ITW (2018)
Xin Tian, Afshin Abdi, Entao Liu, Faramarz Fekri
Seismic Signal Compression Through Delay Compensated and Entropy Constrained Dictionary Learning. SPAWC (2018)
Alireza Aghasi, Afshin Abdi, Justin Romberg
Fast Convex Pruning of Deep Neural Networks. CoRR (2018)
Ali Payani, Afshin Abdi, Xin Tian, Faramarz Fekri, Mohamed A. Mohandes
Advances in Seismic Data Compression via Learning from Data: Compression for Seismic Data Acquisition. IEEE Signal Process. Mag. 35 (2) (2018)
Afshin Abdi, Ali Payani, Faramarz Fekri
Learning dictionary for efficient signal compression. ICASSP (2017)
Afshin Abdi, Faramarz Fekri
Mixture source identification in non-stationary data streams with applications in compression. ICASSP (2017)
Afshin Abdi, Faramarz Fekri
Optimal sensor selection in the presence of noise and interference. ISIT (2017)
Hang Zhang, Afshin Abdi, Faramarz Fekri
Recovery of sign vectors in quadratic compressed sensing. ITW (2017)
Alireza Aghasi, Afshin Abdi, Nam Nguyen, Justin Romberg
Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee. NIPS (2017)
Afshin Abdi, Arash Einolghozati, Faramarz Fekri
Quantization in Molecular Signal Sensing via Biological Agents. IEEE Trans. Mol. Biol. Multi Scale Commun. 3 (2) (2017)
Hang Zhang, Afshin Abdi, Faramarz Fekri
Compressive sensing with energy constraint. ITW (2017)
Afshin Abdi, Arash Einolghozati, Faramarz Fekri
Computing framework in biological cells via stochastic methods. ITW (2017)
Xin Tian, Afshin Abdi, Entao Liu, Faramarz Fekri
Memory-assisted seismic signal compression based on dictionary learning and sparse coding. GlobalSIP (2017)
Arash Einolghozati, Jun Zou, Afshin Abdi, Faramarz Fekri
Micro-RNA profile detection via factor graphs. SPAWC (2016)
Hang Zhang, Afshin Abdi, Faramarz Fekri, Hadi Esmaeilzadeh
Error correction for approximate computing. Allerton (2016)
Ali Payani, Afshin Abdi, Faramarz Fekri
Near optimal representative subset selection from short sequences generated by a stationary source. SPAWC (2016)
Afshin Abdi, Faramarz Fekri
Source identification and compression of mixture data from finite observations. ITW Fall (2015)
Afshin Abdi, Kambiz Nayebi
On the design of FIR optimum orthonormal filter banks. ICASSP (4) (2005)