Afshin Abdi - RankMe

43 papers A* 3B 11Misc 4Journal 11Unranked 13

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