Alireza Aghasi

Orcid: 0000-0001-6029-9380

According to our database1, Alireza Aghasi authored at least 43 papers between 2009 and 2024.

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Bibliography

2024
Accelerated Distributed Allocation.
IEEE Signal Process. Lett., 2024

Certain and Approximately Certain Models for Statistical Learning.
CoRR, 2024

Survey of Distributed Algorithms for Resource Allocation over Multi-Agent Systems.
CoRR, 2024

2023
Distributed delay-tolerant strategies for equality-constraint sum-preserving resource allocation.
Syst. Control. Lett., December, 2023

D-SVM over networked systems with non-ideal linking conditions.
Iran J. Comput. Sci., December, 2023

Robust-to-Noise Algorithms for Distributed Resource Allocation and Scheduling.
CoRR, 2023

Discretized Distributed Optimization over Dynamic Digraphs.
CoRR, 2023

2022
Distributed Support Vector Machines Over Dynamic Balanced Directed Networks.
IEEE Control. Syst. Lett., 2022

Distributed Constraint-Coupled Optimization over Lossy Networks.
CoRR, 2022

RIGID: Robust Linear Regression with Missing Data.
CoRR, 2022

Distributed Finite-Sum Constrained Optimization subject to Nonlinearity on the Node Dynamics.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

Fast-Convergent Anytime-Feasible Dynamics for Distributed Allocation of Resources Over Switching Sparse Networks with Quantized Communication Links.
Proceedings of the European Control Conference, 2022

1st-Order Dynamics on Nonlinear Agents for Resource Allocation over Uniformly-Connected Networks.
Proceedings of the IEEE Conference on Control Technology and Applications, 2022

Distributed CPU Scheduling Subject to Nonlinear Constraints.
Proceedings of the IEEE Conference on Control Technology and Applications, 2022

2021
1st-Order Dynamics on Nonlinear Agents for Resource Allocation over Uniformly-Connected Networks.
CoRR, 2021

Distributed support-vector-machine over dynamic balanced directed networks.
CoRR, 2021

Inverse Constrained Reinforcement Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Bilinear Compressed Sensing Under Known Signs via Convex Programming.
IEEE Trans. Signal Process., 2020

Fast Convex Pruning of Deep Neural Networks.
SIAM J. Math. Data Sci., 2020

Fast-Convergent Dynamics for Distributed Resource Allocation Over Time-Varying Networks.
CoRR, 2020

Learning To Solve Differential Equations Across Initial Conditions.
CoRR, 2020

2019
Simultaneous Phase Retrieval and Blind Deconvolution via Convex Programming.
J. Mach. Learn. Res., 2019

2018
Extracting the Principal Shape Components via Convex Programming.
IEEE Trans. Image Process., 2018

Blind Deconvolutional Phase Retrieval via Convex Programming.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A convex program for bilinear inversion of sparse vectors.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
BranchHull: Convex bilinear inversion from the entrywise product of signals with known signs.
CoRR, 2017

Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Convex inversion of the entrywise product of real signals with known signs.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Object Learning and Convex Cardinal Shape Composition.
CoRR, 2016

Net-Trim: A Layer-wise Convex Pruning of Deep Neural Networks.
CoRR, 2016

Sweep Distortion Removal from THz Images via Blind Demodulation.
CoRR, 2016

2015
Convex Cardinal Shape Composition.
SIAM J. Imaging Sci., 2015

Convex cardinal shape composition and object recognition in computer vision.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2013
Sparse Shape Reconstruction.
SIAM J. Imaging Sci., 2013

Poutine: A correlation estimator for ergodic stationary signals.
Proceedings of the IEEE International Conference on Acoustics, 2013

A tightest convex envelope heuristic to row sparse and rank one matrices.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012
Environmental Remediation and Restoration: Hydrological and Geophysical Processing Methods.
IEEE Signal Process. Mag., 2012

High-Order Regularized Regression in Electrical Impedance Tomography.
SIAM J. Imaging Sci., 2012

Sensitivity Calculations for Poisson's Equation via the Adjoint Field Method.
IEEE Geosci. Remote. Sens. Lett., 2012

Joint electrical and hydrological inversion for reconstruction of subsurface contaminant source zones.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
Parametric Level Set Methods for Inverse Problems.
SIAM J. Imaging Sci., 2011

A hybrid global minimization scheme for accurate source localization in sensor networks.
EURASIP J. Adv. Signal Process., 2011

2009
Synthesis of planar arrays with arbitrary geometry for flat-top footprint patterns.
Proceedings of the IEEE International Conference on Acoustics, 2009


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