Alireza Aghasi

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 45

Top Topics

Blind Deconvolution

Convex Programming

Resource Allocation

Top Venues

Publications

Cheng Zhen, Nischal Aryal, Arash Termehchy, Alireza Aghasi, Amandeep Singh Chabada
Certain and Approximately Certain Models for Statistical Learning. CoRR (2024)
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 (2024)
Mohammadreza Doostmohammadian, Alireza Aghasi
Accelerated Distributed Allocation. IEEE Signal Process. Lett. 31 (2024)
Saeid Pourmand, Wyatt D. Whiting, Alireza Aghasi, Nicholas F. Marshall
Laplace-HDC: Understanding the geometry of binary hyperdimensional computing. CoRR (2024)
Alireza Aghasi, Saeed Ghadimi
Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing. CoRR (2024)
Mohammadreza Doostmohammadian, Alireza Aghasi
Accelerated Distributed Allocation. CoRR (2024)
Alireza Aghasi, Arun Rai, Yusen Xia
A Deep Learning and Image Processing Pipeline for Object Characterization in Firm Operations. INFORMS J. Comput. 36 (2) (2024)
Mohammadreza Doostmohammadian, Alireza Aghasi, Houman Zarrabi
D-SVM over networked systems with non-ideal linking conditions. Iran J. Comput. Sci. 6 (4) (2023)
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 (2023)
Mohammadreza Doostmohammadian, Alireza Aghasi, Houman Zarrabi
D-SVM over Networked Systems with Non-Ideal Linking Conditions. CoRR (2023)
Mohammadreza Doostmohammadian, Alireza Aghasi
Robust-to-Noise Algorithms for Distributed Resource Allocation and Scheduling. CoRR (2023)
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 (2023)
Mohammadreza Doostmohammadian, Wei Jiang, Muwahida Liaquat, Alireza Aghasi, Houman Zarrabi
Discretized Distributed Optimization over Dynamic Digraphs. CoRR (2023)
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)
Alireza Aghasi, MohammadJavad Feizollahi, Saeed Ghadimi
RIGID: Robust Linear Regression with Missing Data. CoRR (2022)
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)
Mohammadreza Doostmohammadian, Alireza Aghasi, Maria Vrakopoulou, Themistoklis Charalambous
1st-Order Dynamics on Nonlinear Agents for Resource Allocation over Uniformly-Connected Networks. CCTA (2022)
Mohammadreza Doostmohammadian, Maria Vrakopoulou, Alireza Aghasi, Themistoklis Charalambous
Distributed Finite-Sum Constrained Optimization subject to Nonlinearity on the Node Dynamics. VTC Spring (2022)
Mohammadreza Doostmohammadian, Maria Vrakopoulou, Alireza Aghasi, Themistoklis Charalambous
Distributed Finite-Sum Constrained Optimization subject to Nonlinearity on the Node Dynamics. CoRR (2022)
Mohammadreza Doostmohammadian, Usman A. Khan, Alireza Aghasi, Themistoklis Charalambous
Distributed Constraint-Coupled Optimization over Lossy Networks. CoRR (2022)
Mohammadreza Doostmohammadian, Alireza Aghasi, Themistoklis Charalambous, Usman A. Khan
Distributed Support Vector Machines Over Dynamic Balanced Directed Networks. IEEE Control. Syst. Lett. 6 (2022)
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 (2022)
Mohammadreza Doostmohammadian, Alireza Aghasi, Themistoklis Charalambous, Usman A. Khan
Distributed support-vector-machine over dynamic balanced directed networks. CoRR (2021)
Shehryar Malik, Usman Anwar, Alireza Aghasi, Ali Ahmed
Inverse Constrained Reinforcement Learning. ICML (2021)
Mohammadreza Doostmohammadian, Alireza Aghasi, Themistoklis Charalambous
1st-Order Dynamics on Nonlinear Agents for Resource Allocation over Uniformly-Connected Networks. CoRR (2021)
Alireza Aghasi, Afshin Abdi, Justin Romberg
Fast Convex Pruning of Deep Neural Networks. SIAM J. Math. Data Sci. 2 (1) (2020)
Alireza Aghasi, Ali Ahmed, Paul Hand, Babhru Joshi
Bilinear Compressed Sensing Under Known Signs via Convex Programming. IEEE Trans. Signal Process. 68 (2020)
Usman Anwar, Shehryar Malik, Alireza Aghasi, Ali Ahmed
Inverse Constrained Reinforcement Learning. CoRR (2020)
Mohammadreza Doostmohammadian, Alireza Aghasi, Themistoklis Charalambous
Fast-Convergent Dynamics for Distributed Resource Allocation Over Time-Varying Networks. CoRR (2020)
Shehryar Malik, Usman Anwar, Ali Ahmed, Alireza Aghasi
Learning To Solve Differential Equations Across Initial Conditions. CoRR (2020)
Alireza Aghasi, Ali Ahmed, Paul Hand, Babhru Joshi
Bilinear Compressed Sensing under known Signs via Convex Programming. CoRR (2019)
Ali Ahmed, Alireza Aghasi, Paul Hand
Simultaneous Phase Retrieval and Blind Deconvolution via Convex Programming. CoRR (2019)
Ali Ahmed, Alireza Aghasi, Paul Hand
Simultaneous Phase Retrieval and Blind Deconvolution via Convex Programming. J. Mach. Learn. Res. 20 (2019)
Ali Ahmed, Alireza Aghasi, Paul Hand
Blind Deconvolutional Phase Retrieval via Convex Programming. NeurIPS (2018)
Ali Ahmed, Alireza Aghasi, Paul Hand
Blind Deconvolutional Phase Retrieval via Convex Programming. CoRR (2018)
Alireza Aghasi, Justin Romberg
Extracting the Principal Shape Components via Convex Programming. IEEE Trans. Image Process. 27 (7) (2018)
Alireza Aghasi, Afshin Abdi, Justin Romberg
Fast Convex Pruning of Deep Neural Networks. CoRR (2018)
Alireza Aghasi, Ali Ahmed, Paul Hand, Babhru Joshi
A convex program for bilinear inversion of sparse vectors. CoRR (2018)
Alireza Aghasi, Ali Ahmed, Paul Hand, Babhru Joshi
A convex program for bilinear inversion of sparse vectors. NeurIPS (2018)
Alireza Aghasi, Afshin Abdi, Nam Nguyen, Justin Romberg
Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee. NIPS (2017)
Alireza Aghasi, Ali Ahmed, Paul Hand
Convex inversion of the entrywise product of real signals with known signs. ACSSC (2017)
Alireza Aghasi, Ali Ahmed, Paul Hand
BranchHull: Convex bilinear inversion from the entrywise product of signals with known signs. CoRR (2017)
Alireza Aghasi, Justin K. Romberg
Object Learning and Convex Cardinal Shape Composition. CoRR (2016)
Alireza Aghasi, Nam Nguyen, Justin Romberg
Net-Trim: A Layer-wise Convex Pruning of Deep Neural Networks. CoRR (2016)
Alireza Aghasi, Barmak Heshmat, Albert Redo-Sanchez, Justin K. Romberg, Ramesh Raskar
Sweep Distortion Removal from THz Images via Blind Demodulation. CoRR (2016)
Alireza Aghasi, Justin K. Romberg
Convex cardinal shape composition and object recognition in computer vision. ACSSC (2015)
Alireza Aghasi, Justin K. Romberg
Convex Cardinal Shape Composition. SIAM J. Imaging Sci. 8 (4) (2015)
Alireza Aghasi, Justin K. Romberg
Sparse Shape Reconstruction. SIAM J. Imaging Sci. 6 (4) (2013)
Alireza Aghasi, Sohail Bahmani, Justin K. Romberg
A tightest convex envelope heuristic to row sparse and rank one matrices. GlobalSIP (2013)
Alireza Aghasi, Justin K. Romberg
Sparse Shape Reconstruction CoRR (2013)
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)
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)
Alireza Aghasi, Eric L. Miller
Sensitivity Calculations for Poisson's Equation via the Adjoint Field Method. IEEE Geosci. Remote. Sens. Lett. 9 (2) (2012)
Nick Polydorides, Alireza Aghasi, Eric L. Miller
High-Order Regularized Regression in Electrical Impedance Tomography. SIAM J. Imaging Sci. 5 (3) (2012)
Eric L. Miller, Linda M. Abriola, Alireza Aghasi
Environmental Remediation and Restoration: Hydrological and Geophysical Processing Methods. IEEE Signal Process. Mag. 29 (4) (2012)
Alireza Aghasi, Misha Elena Kilmer, Eric L. Miller
Parametric Level Set Methods for Inverse Problems. SIAM J. Imaging Sci. 4 (2) (2011)
Hamidreza Aghasi, Hamidreza Amindavar, Alireza Aghasi
A hybrid global minimization scheme for accurate source localization in sensor networks. EURASIP J. Adv. Signal Process. 2011 (2011)
Alireza Aghasi, Hamidreza Amindavar, Eric L. Miller
Synthesis of planar arrays with arbitrary geometry for flat-top footprint patterns. ICASSP (2009)