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Armenak Petrosyan
Observed names:
A. Petrosyan,
Petrosyan, Armenak
Observed institutions:
Louisiana State University,
Oak Ridge National Laboratory,
Georgia Institute of Technology,
Vanderbilt University
ORCID:
0000-0003-3198-6397
Observed ORCID:
0000-0003-3198-6397
OpenAlex ID:
A5026133100
Iterative actions of normal operators
2016
·
A. Aldroubi
, C. Cabrelli
, et al.
·
Journal of Functional Analysis
·
84
PDF
Dynamical Sampling and Systems from Iterative Actions of Operators
2017
·
Akram Aldroubi
, Armenak Petrosyan
·
Applied and numerical harmonic analysis
·
64
PDF
Dynamical Sampling in Shift-Invariant Spaces
2013
·
Roza Aceska
, Akram Aldroubi
, et al.
·
Contemporary mathematics - American Mathematical Society
·
24
Frames induced by the action of continuous powers of an operator
2019
·
A. Aldroubi
, L.X. Huang
, et al.
·
Journal of Mathematical Analysis and Applications
·
23
Neural network integral representations with the ReLU activation function
2019
·
Petrosyan, Armenak
, Dereventsov, Anton
, et al.
·
arXiv (Cornell University)
·
17
PDF
Multidimensional Signal Recovery in Discrete Evolution Systems via Spatiotemporal Trade Off
2015
·
Roza Aceska
, Armenak Petrosyan
, et al.
·
Sampling Theory in Signal and Image Processing
·
14
PDF
Nonconvex regularization for sparse neural networks
2022
·
Konstantin Pieper
, Armenak Petrosyan
·
Applied and Computational Harmonic Analysis
·
9
Reconstruction of jointly sparse vectors via manifold optimization
2019
·
Armenak Petrosyan
, Hoang Tran
, et al.
·
Applied Numerical Mathematics
·
6
PDF
Reconstructing Graph Signals from Noisy Dynamical Samples
2024
·
Aldroubi, Akram
, Bailey, Victor
, et al.
·
arXiv (Cornell University)
·
3
PDF
An Operator theoretic approach to the convergence of rearranged Fourier series
2021
·
Keaton Hamm
, Ben Hayes
, et al.
·
Journal d Analyse Mathématique
·
3
PDF
Local-to-Global Frames and Applications to the Dynamical Sampling Problem
2021
·
Akram Aldroubi
, Carlos Cabrelli
, et al.
·
Applied and numerical harmonic analysis
·
3
Nonconvex penalization for sparse neural networks
2020
·
Konstantin Pieper
, Armenak Petrosyan
·
arXiv (Cornell University)
·
3
Greedy Shallow Networks: An Approach for Constructing and Training Neural Networks
2019
·
Dereventsov, Anton
, Petrosyan, Armenak
, et al.
·
arXiv (Cornell University)
·
3
PDF
Dynamical sampling of two-dimensional temporally-varying signals
2015
·
Roza Aceska
, Armenak Petrosyan
, et al.
·
International Conference on Sampling Theory and Applications
·
3
A Weighted $\ell_1$-Minimization Approach For Wavelet Reconstruction of Signals and Images
2019
·
Daws, Joseph
, Petrosyan, Armenak
, et al.
·
arXiv (Cornell University)
·
1
PDF
Rearranged Fourier Series and Generalizations to Non-Commutative Groups
2019
·
Keaton Hamm
, Benjamin Hayes
, et al.
·
International Conference on Sampling Theory and Applications
·
1
Layerwise Decoupling for Stable Structured Sparsification of Fully Connected Layers
2026
·
Kulick, Charles
, Petrosyan, Armenak
, et al.
·
arXiv (Cornell University)
PDF
Orthogonally weighted $\ell_{2,1}$ regularization for rank-aware joint sparse recovery: algorithm and analysis
2023
·
Petrosyan, Armenak
, Pieper, Konstantin
, et al.
·
arXiv (Cornell University)
PDF
Local-to-global frames and applications to dynamical sampling problem
2019
·
Aldroubi, Akram
, Cabrelli, Carlos
, et al.
·
arXiv (Cornell University)
PDF
Joint Sparse Recovery Through Manifold Optimization
2018
·
Petrosyan, Armenak
·
Open Collections
Dynamical Sampling and Systems of Vectors from Iterative Actions of Operators
2017
·
Armenak Petrosyan
Frames and Bessel systems generated by the iterative actions of operators
2016
·
Armenak Petrosyan
·
Open Scholarship Institutional Repository (Washington University in St. Louis)
PDF
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Works count:
23
Citation count:
261
H-index:
7
I10-index:
6
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