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ORCIDAlireza Aghasi
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2020 – today
- 2025
[j18]Mohammadreza Doostmohammadian
, Alireza Aghasi, Mohammad Pirani, Ehsan Nekouei, Houman Zarrabi, Reza Keypour, Apostolos I. Rikos, Karl Henrik Johansson:
Survey of distributed algorithms for resource allocation over multi-agent systems. Annu. Rev. Control. 59: 100983 (2025)- 2024
- [j17]Alireza Aghasi, Arun Rai, Yusen Xia:
A Deep Learning and Image Processing Pipeline for Object Characterization in Firm Operations. INFORMS J. Comput. 36(2): 616-634 (2024) - [j16]Mohammadreza Doostmohammadian, Alireza Aghasi:
Accelerated Distributed Allocation. IEEE Signal Process. Lett. 31: 651-655 (2024) - [j15]Alireza Aghasi, Saeed Ghadimi, Yue Xing, MohammadJavad Feizollahi:
An Adversarially Robust Formulation of Linear Regression With Missing Data. IEEE Trans. Signal Process. 72: 4950-4966 (2024) - [i28]Mohammadreza Doostmohammadian, Alireza Aghasi:
Accelerated Distributed Allocation. CoRR abs/2401.15598 (2024) - [i27]Mohammadreza Doostmohammadian, Alireza Aghasi, Mohammad Pirani, Ehsan Nekouei, Houman Zarrabi, Reza Keypour, Apostolos I. Rikos, Karl Henrik Johansson:
Survey of Distributed Algorithms for Resource Allocation over Multi-Agent Systems. CoRR abs/2401.15607 (2024) - [i26]Cheng Zhen, Nischal Aryal, Arash Termehchy, Alireza Aghasi, Amandeep Singh Chabada:
Certain and Approximately Certain Models for Statistical Learning. CoRR abs/2402.17926 (2024) - [i25]Alireza Aghasi, Saeed Ghadimi:
Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing. CoRR abs/2404.00158 (2024) - [i24]Saeid Pourmand, Wyatt D. Whiting, Alireza Aghasi, Nicholas F. Marshall:
Laplace-HDC: Understanding the geometry of binary hyperdimensional computing. CoRR abs/2404.10759 (2024) - 2023
- [j14]Mohammadreza Doostmohammadian, Alireza Aghasi, Houman Zarrabi:
D-SVM over networked systems with non-ideal linking conditions. Iran J. Comput. Sci. 6(4): 375-386 (2023) - [j13]Mohammadreza Doostmohammadian, Alireza Aghasi, Maria Vrakopoulou, Hamid R. Rabiee, Usman A. Khan, Themistoklis Charalambous:
Distributed delay-tolerant strategies for equality-constraint sum-preserving resource allocation. Syst. Control. Lett. 182: 105657 (2023) - [i23]Mohammadreza Doostmohammadian, Alireza Aghasi, Houman Zarrabi:
D-SVM over Networked Systems with Non-Ideal Linking Conditions. CoRR abs/2304.06667 (2023) - [i22]Mohammadreza Doostmohammadian, Alireza Aghasi, Maria Vrakopoulou, Hamid R. Rabiee, Usman A. Khan, Themistoklis Charalambous:
Distributed Delay-Tolerant Strategies for Equality-Constraint Sum-Preserving Resource Allocation. CoRR abs/2310.18225 (2023) - [i21]Mohammadreza Doostmohammadian, Wei Jiang, Muwahida Liaquat, Alireza Aghasi, Houman Zarrabi:
Discretized Distributed Optimization over Dynamic Digraphs. CoRR abs/2311.07939 (2023) - [i20]Mohammadreza Doostmohammadian, Alireza Aghasi:
Robust-to-Noise Algorithms for Distributed Resource Allocation and Scheduling. CoRR abs/2311.18646 (2023) - 2022
- [j12]Mohammadreza Doostmohammadian, Alireza Aghasi, Themistoklis Charalambous, Usman A. Khan:
Distributed Support Vector Machines Over Dynamic Balanced Directed Networks. IEEE Control. Syst. Lett. 6: 758-763 (2022) - [c14]Mohammadreza Doostmohammadian, Alireza Aghasi, Apostolos I. Rikos, Andreas Grammenos, Evangelia Kalyvianaki, Christoforos N. Hadjicostis, Karl Henrik Johansson, Themistoklis Charalambous:
Distributed CPU Scheduling Subject to Nonlinear Constraints. CCTA 2022: 746-751 - [c13]Mohammadreza Doostmohammadian, Alireza Aghasi, Maria Vrakopoulou, Themistoklis Charalambous:
1st-Order Dynamics on Nonlinear Agents for Resource Allocation over Uniformly-Connected Networks. CCTA 2022: 1184-1189 - [c12]Mohammadreza Doostmohammadian, Alireza Aghasi, Mohammad Pirani, Ehsan Nekouei, Usman A. Khan, Themistoklis Charalambous:
Fast-Convergent Anytime-Feasible Dynamics for Distributed Allocation of Resources Over Switching Sparse Networks with Quantized Communication Links. ECC 2022: 84-89 - [c11]Mohammadreza Doostmohammadian, Maria Vrakopoulou, Alireza Aghasi, Themistoklis Charalambous:
Distributed Finite-Sum Constrained Optimization subject to Nonlinearity on the Node Dynamics. VTC Spring 2022: 1-6 - [i19]Mohammadreza Doostmohammadian, Maria Vrakopoulou, Alireza Aghasi, Themistoklis Charalambous:
Distributed Finite-Sum Constrained Optimization subject to Nonlinearity on the Node Dynamics. CoRR abs/2203.14527 (2022) - [i18]Alireza Aghasi, MohammadJavad Feizollahi, Saeed Ghadimi:
RIGID: Robust Linear Regression with Missing Data. CoRR abs/2205.13635 (2022) - [i17]Mohammadreza Doostmohammadian, Alireza Aghasi, Apostolos I. Rikos, Andreas Grammenos, Evangelia Kalyvianaki, Christoforos N. Hadjicostis, Karl Henrik Johansson, Themistoklis Charalambous:
Distributed CPU Scheduling Subject to Nonlinear Constraints. CoRR abs/2208.14059 (2022) - [i16]Mohammadreza Doostmohammadian, Usman A. Khan, Alireza Aghasi, Themistoklis Charalambous:
Distributed Constraint-Coupled Optimization over Lossy Networks. CoRR abs/2208.14116 (2022) - 2021
- [c10]Shehryar Malik, Usman Anwar, Alireza Aghasi, Ali Ahmed:
Inverse Constrained Reinforcement Learning. ICML 2021: 7390-7399 - [i15]Mohammadreza Doostmohammadian, Alireza Aghasi, Themistoklis Charalambous, Usman A. Khan:
Distributed support-vector-machine over dynamic balanced directed networks. CoRR abs/2104.00399 (2021) - [i14]Mohammadreza Doostmohammadian, Alireza Aghasi, Themistoklis Charalambous:
1st-Order Dynamics on Nonlinear Agents for Resource Allocation over Uniformly-Connected Networks. CoRR abs/2109.04822 (2021) - 2020
- [j11]Alireza Aghasi, Afshin Abdi, Justin Romberg:
Fast Convex Pruning of Deep Neural Networks. SIAM J. Math. Data Sci. 2(1): 158-188 (2020) - [j10]Alireza Aghasi, Ali Ahmed, Paul Hand, Babhru Joshi:
Bilinear Compressed Sensing Under Known Signs via Convex Programming. IEEE Trans. Signal Process. 68: 6366-6379 (2020) - [i13]Shehryar Malik, Usman Anwar, Ali Ahmed, Alireza Aghasi:
Learning To Solve Differential Equations Across Initial Conditions. CoRR abs/2003.12159 (2020) - [i12]Usman Anwar, Shehryar Malik, Alireza Aghasi, Ali Ahmed:
Inverse Constrained Reinforcement Learning. CoRR abs/2011.09999 (2020) - [i11]Mohammadreza Doostmohammadian, Alireza Aghasi, Themistoklis Charalambous:
Fast-Convergent Dynamics for Distributed Resource Allocation Over Time-Varying Networks. CoRR abs/2012.08181 (2020)
2010 – 2019
- 2019
- [j9]Ali Ahmed, Alireza Aghasi, Paul Hand:
Simultaneous Phase Retrieval and Blind Deconvolution via Convex Programming. J. Mach. Learn. Res. 20: 157:1-157:28 (2019) - [i10]Ali Ahmed, Alireza Aghasi, Paul Hand:
Simultaneous Phase Retrieval and Blind Deconvolution via Convex Programming. CoRR abs/1904.12680 (2019) - [i9]Alireza Aghasi, Ali Ahmed, Paul Hand, Babhru Joshi:
Bilinear Compressed Sensing under known Signs via Convex Programming. CoRR abs/1906.11636 (2019) - 2018
- [j8]Alireza Aghasi, Justin Romberg:
Extracting the Principal Shape Components via Convex Programming. IEEE Trans. Image Process. 27(7): 3513-3528 (2018) - [c9]Alireza Aghasi, Ali Ahmed, Paul Hand, Babhru Joshi:
A convex program for bilinear inversion of sparse vectors. NeurIPS 2018: 8557-8567 - [c8]Ali Ahmed, Alireza Aghasi, Paul Hand:
Blind Deconvolutional Phase Retrieval via Convex Programming. NeurIPS 2018: 10051-10061 - [i8]Alireza Aghasi, Afshin Abdi, Justin Romberg:
Fast Convex Pruning of Deep Neural Networks. CoRR abs/1806.06457 (2018) - [i7]Ali Ahmed, Alireza Aghasi, Paul Hand:
Blind Deconvolutional Phase Retrieval via Convex Programming. CoRR abs/1806.08091 (2018) - [i6]Alireza Aghasi, Ali Ahmed, Paul Hand, Babhru Joshi:
A convex program for bilinear inversion of sparse vectors. CoRR abs/1809.08359 (2018) - 2017
- [c7]Alireza Aghasi, Ali Ahmed, Paul Hand:
Convex inversion of the entrywise product of real signals with known signs. ACSSC 2017: 1622-1626 - [c6]Alireza Aghasi, Afshin Abdi, Nam Nguyen, Justin Romberg:
Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee. NIPS 2017: 3177-3186 - [i5]Alireza Aghasi, Ali Ahmed, Paul Hand:
BranchHull: Convex bilinear inversion from the entrywise product of signals with known signs. CoRR abs/1702.04342 (2017) - 2016
- [i4]Alireza Aghasi, Justin K. Romberg:
Object Learning and Convex Cardinal Shape Composition. CoRR abs/1602.07613 (2016) - [i3]Alireza Aghasi, Barmak Heshmat, Albert Redo-Sanchez, Justin K. Romberg, Ramesh Raskar:
Sweep Distortion Removal from THz Images via Blind Demodulation. CoRR abs/1604.03426 (2016) - [i2]Alireza Aghasi, Nam Nguyen, Justin Romberg:
Net-Trim: A Layer-wise Convex Pruning of Deep Neural Networks. CoRR abs/1611.05162 (2016) - 2015
- [j7]Alireza Aghasi, Justin K. Romberg:
Convex Cardinal Shape Composition. SIAM J. Imaging Sci. 8(4): 2887-2950 (2015) - [c5]Alireza Aghasi, Justin K. Romberg:
Convex cardinal shape composition and object recognition in computer vision. ACSSC 2015: 1541-1545 - 2013
- [j6]Alireza Aghasi, Justin K. Romberg:
Sparse Shape Reconstruction. SIAM J. Imaging Sci. 6(4): 2075-2108 (2013) - [c4]Alireza Aghasi, Sohail Bahmani, Justin K. Romberg:
A tightest convex envelope heuristic to row sparse and rank one matrices. GlobalSIP 2013: 627 - [c3]Han Lun Yap, Aurele Balavoine, William Mantzel, Ning Tian, Darryl Sale, Alireza Aghasi, Justin K. Romberg:
Poutine: A correlation estimator for ergodic stationary signals. ICASSP 2013: 6397-6401 - [i1]Alireza Aghasi, Justin K. Romberg:
Sparse Shape Reconstruction. CoRR abs/1303.0018 (2013) - 2012
- [j5]Alireza Aghasi, Eric L. Miller:
Sensitivity Calculations for Poisson's Equation via the Adjoint Field Method. IEEE Geosci. Remote. Sens. Lett. 9(2): 237-241 (2012) - [j4]Nick Polydorides, Alireza Aghasi, Eric L. Miller:
High-Order Regularized Regression in Electrical Impedance Tomography. SIAM J. Imaging Sci. 5(3): 912-943 (2012) - [j3]Eric L. Miller, Linda M. Abriola, Alireza Aghasi:
Environmental Remediation and Restoration: Hydrological and Geophysical Processing Methods. IEEE Signal Process. Mag. 29(4): 16-26 (2012) - [c2]Alireza Aghasi, Itza Mendoza-Sanchez, Linda M. Abriola, Eric L. Miller:
Joint electrical and hydrological inversion for reconstruction of subsurface contaminant source zones. IGARSS 2012: 7059-7062 - 2011
- [j2]Hamidreza Aghasi, Hamidreza Amindavar, Alireza Aghasi:
A hybrid global minimization scheme for accurate source localization in sensor networks. EURASIP J. Adv. Signal Process. 2011: 81 (2011) - [j1]Alireza Aghasi, Misha Elena Kilmer, Eric L. Miller:
Parametric Level Set Methods for Inverse Problems. SIAM J. Imaging Sci. 4(2): 618-650 (2011)
2000 – 2009
- 2009
- [c1]Alireza Aghasi, Hamidreza Amindavar, Eric L. Miller:
Synthesis of planar arrays with arbitrary geometry for flat-top footprint patterns. ICASSP 2009: 2153-2156
Coauthor Index
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last updated on 2025-01-20 22:58 CET by the dblp team
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