Ashkan Esmaeili
Ashkan Esmaeili
Senior Data Scientist @ Walmart Global Tech
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A novel approach to quantized matrix completion using huber loss measure
A Esmaeili, F Marvasti
IEEE Signal Processing Letters 26 (2), 337-341, 2019
Iterative null space projection method with adaptive thresholding in sparse signal recovery
A Esmaeili, EA Kangarshahi, F Marvasti
IET Signal Processing 12 (5), 605-612, 2018
Select to better learn: Fast and accurate deep learning using data selection from nonlinear manifolds
M Joneidi, S Vahidian, A Esmaeili, W Wang, N Rahnavard, B Lin, M Shah
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Transductive multi-label learning from missing data using smoothed rank function
A Esmaeili, K Behdin, MA Fakharian, F Marvasti
Pattern Analysis and Applications 23, 1225-1233, 2020
Obtain: Real-time beat tracking in audio signals
A Mottaghi, K Behdin, A Esmaeili, M Heydari, F Marvasti
arXiv preprint arXiv:1704.02216, 2017
CNLL: A Semi-supervised Approach For Continual Noisy Label Learning
N Karim, U Khalid, A Esmaeili, N Rahnavard
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Missing low-rank and sparse decomposition based on smoothed nuclear norm
M Azghani, A Esmaeili, K Behdin, F Marvasti
IEEE Transactions on Circuits and Systems for Video Technology 30 (6), 1550-1558, 2019
Comparison of several sparse recovery methods for low rank matrices with random samples
A Esmaeili, F Marvasti
2016 8th International Symposium on Telecommunications (IST), 191-195, 2016
Rodd: A self-supervised approach for robust out-of-distribution detection
U Khalid, A Esmaeili, N Karim, N Rahnavard
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2022
Two-way Spectrum Pursuit for CUR Decomposition and Its Application in Joint Column/Row Subset Selection
A Esmaeili, M Joneidi, M Salimitari, U Khalid, N Rahnavard
Machine Learning for Signal Processing - MLSP 2021, 2021
Using empirical covariance matrix in enhancing prediction accuracy of linear models with missing information
A Moradipari, S Shahsavari, A Esmaeili, F Marvasti
2017 International conference on sampling theory and applications (SampTA …, 2017
Fast methods for recovering sparse parameters in linear low rank models
A Esmaeili, A Amini, F Marvasti
2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2016
Low-Rank and Sparse Decomposition for Low-Query Decision-based Adversarial Attacks
A Esmaeili, M Edraki, N Rahnavard, A Mian, M Shah
IEEE Transactions on Information Forensics and Security, 2023
Recovering quantized data with missing information using bilinear factorization and augmented Lagrangian method
A Esmaeili, K Behdin, F Marvasti
arXiv preprint arXiv:1810.03222, 2018
Spectrum pursuit with residual descent for column subset selection problem: Theoretical guarantees and applications in deep learning
S Vahidian, M Joneidi, A Esmaeili, S Khodadadeh, S Zehtabian, B Lin
IEEE Access 10, 88164-88177, 2022
A Novel Approach to Sparse Inverse Covariance Estimation Using Transform Domain Updates and Exponentially Adaptive Thresholding
A Esmaeili, F Marvasti
arXiv preprint arXiv:1811.06773, 2018
Generative Model Adversarial Training for Deep Compressed Sensing
A Esmaeili
arXiv preprint arXiv:2106.10696, 2021
Optimality of Spectrum Pursuit for Column Subset Selection Problem: Theoretical Guarantees and Applications in Deep Learning
M Joneidi, S Vahidian, A Esmaeili, S Khodadadeh, S Zehtabian, L Bölöni, ...
TechRxiv, 2020
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