default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAfshin Abdi
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[i6]Gianluigi Silvestri, Fabio Valerio Massoli, Tribhuvanesh Orekondy, Afshin Abdi, Arash Behboodi:
Reinforcement Learning of Adaptive Acquisition Policies for Inverse Problems. CoRR abs/2407.07794 (2024)- 2023
- [c31]Afshin Abdi, Saeed Rashidi, Faramarz Fekri
, Tushar Krishna:
Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning. AAAI 2023: 6640-6648 - 2022
- [c30]Aditya Sant, Afshin Abdi, Joseph Soriaga:
Deep Sequential Beamformer Learning for Multipath Channels in Mmwave Communication Systems. ICASSP 2022: 5198-5202 - [c29]Yashas Malur Saidutta, Faramarz Fekri, Afshin Abdi:
A Machine Learning Framework for Privacy-Aware Distributed Functional Compression over AWGN Channels. ITW 2022: 380-385 - [i5]Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri:
A Machine Learning Framework for Distributed Functional Compression over Wireless Channels in IoT. CoRR abs/2201.09483 (2022) - [i4]Hang Zhang, Afshin Abdi, Faramarz Fekri:
Structure Learning in Graphical Models from Indirect Observations. CoRR abs/2205.03454 (2022) - 2021
- [j4]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): 2000-2013 (2021) - [c28]Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri:
Analog Joint Source-Channel Coding for Distributed Functional Compression using Deep Neural Networks. ISIT 2021: 2429-2434 - [c27]Hang Zhang, Afshin Abdi, Faramarz Fekri:
A General Framework for the Design of Compressive Sensing using Density Evolution. ITW 2021: 1-6 - 2020
- [b1]Afshin Abdi:
Distributed learning and inference in deep models. Georgia Institute of Technology, Atlanta, GA, USA, 2020 - [j3]Alireza Aghasi, Afshin Abdi, Justin Romberg:
Fast Convex Pruning of Deep Neural Networks. SIAM J. Math. Data Sci. 2(1): 158-188 (2020) - [c26]Afshin Abdi, Faramarz Fekri:
Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning. AAAI 2020: 3105-3112 - [c25]Afshin Abdi, Faramarz Fekri:
Indirect Stochastic Gradient Quantization and Its Application in Distributed Deep Learning. AAAI 2020: 3113-3120 - [c24]Afshin Abdi, Yashas Malur Saidutta, Faramarz Fekri:
Analog Compression and Communication for Federated Learning over Wireless MAC. SPAWC 2020: 1-5 - [c23]Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri:
VAE for Joint Source-Channel Coding of Distributed Gaussian Sources over AWGN MAC. SPAWC 2020: 1-5 - [i3]Afshin Abdi, Saeed Rashidi, Faramarz Fekri, Tushar Krishna:
Restructuring, Pruning, and Adjustment of Deep Models for Parallel Distributed Inference. CoRR abs/2008.08289 (2020)
2010 – 2019
- 2019
- [c22]Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri:
Joint Source-Channel Coding of Gaussian sources over AWGN channels via Manifold Variational Autoencoders. Allerton 2019: 514-520 - [c21]Hang Zhang, Afshin Abdi, Faramarz Fekri:
Recovering Noisy-Pseudo-Sparse Signals From Linear Measurements via l∞. Allerton 2019: 1154-1159 - [c20]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: 488-497 - [c19]Hang Zhang, Afshin Abdi, Faramarz Fekri:
Analysis of Sparse-integer Measurement Matrices in Compressive Sensing. ICASSP 2019: 4923-4927 - [c18]Hang Zhang, Afshin Abdi, Faramarz Fekri:
Compressive Sensing with a Multiple Convex Sets Domain. ISIT 2019: 592-596 - [c17]Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri:
Joint Source-Channel Coding for Gaussian Sources over AWGN Channels using Variational Autoencoders. ISIT 2019: 1327-1331 - [c16]Afshin Abdi, Faramarz Fekri:
Reducing Communication Overhead via CEO in Distributed Training. SPAWC 2019: 1-5 - [i2]Afshin Abdi, Faramarz Fekri:
Nested Dithered Quantization for Communication Reduction in Distributed Training. CoRR abs/1904.01197 (2019) - 2018
- [j2]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): 51-61 (2018) - [c15]Hang Zhang, Afshin Abdi, Faramarz Fekri:
Sparse Recovery of Sign Vectors under Uncertain Sensing Matrices. ITW 2018: 1-5 - [c14]Xin Tian, Afshin Abdi, Entao Liu, Faramarz Fekri:
Seismic Signal Compression Through Delay Compensated and Entropy Constrained Dictionary Learning. SPAWC 2018: 1-5 - [i1]Alireza Aghasi, Afshin Abdi, Justin Romberg:
Fast Convex Pruning of Deep Neural Networks. CoRR abs/1806.06457 (2018) - 2017
- [j1]Afshin Abdi, Arash Einolghozati, Faramarz Fekri:
Quantization in Molecular Signal Sensing via Biological Agents. IEEE Trans. Mol. Biol. Multi Scale Commun. 3(2): 106-117 (2017) - [c13]Xin Tian, Afshin Abdi, Entao Liu, Faramarz Fekri:
Memory-assisted seismic signal compression based on dictionary learning and sparse coding. GlobalSIP 2017: 358-362 - [c12]Afshin Abdi, Faramarz Fekri:
Mixture source identification in non-stationary data streams with applications in compression. ICASSP 2017: 2502-2506 - [c11]Afshin Abdi, Ali Payani, Faramarz Fekri:
Learning dictionary for efficient signal compression. ICASSP 2017: 3689-3693 - [c10]Afshin Abdi, Faramarz Fekri:
Optimal sensor selection in the presence of noise and interference. ISIT 2017: 2378-2382 - [c9]Afshin Abdi, Arash Einolghozati, Faramarz Fekri:
Computing framework in biological cells via stochastic methods. ITW 2017: 339-343 - [c8]Hang Zhang, Afshin Abdi, Faramarz Fekri:
Recovery of sign vectors in quadratic compressed sensing. ITW 2017: 379-383 - [c7]Hang Zhang, Afshin Abdi, Faramarz Fekri:
Compressive sensing with energy constraint. ITW 2017: 389-393 - [c6]Alireza Aghasi, Afshin Abdi, Nam Nguyen, Justin Romberg:
Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee. NIPS 2017: 3177-3186 - 2016
- [c5]Hang Zhang, Afshin Abdi, Faramarz Fekri, Hadi Esmaeilzadeh:
Error correction for approximate computing. Allerton 2016: 948-953 - [c4]Arash Einolghozati, Jun Zou, Afshin Abdi, Faramarz Fekri:
Micro-RNA profile detection via factor graphs. SPAWC 2016: 1-5 - [c3]Ali Payani, Afshin Abdi, Faramarz Fekri:
Near optimal representative subset selection from short sequences generated by a stationary source. SPAWC 2016: 1-5 - 2015
- [c2]Afshin Abdi, Faramarz Fekri:
Source identification and compression of mixture data from finite observations. ITW Fall 2015: 29-33
2000 – 2009
- 2005
- [c1]Afshin Abdi, Kambiz Nayebi:
On the design of FIR optimum orthonormal filter banks. ICASSP (4) 2005: 545-548
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-05 20:57 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
