Alireza Aghasi | DeepAI

AI Chat

Featured Co-authors

Ramesh Raskar
83 publications
Justin Romberg
34 publications
Themistoklis Charalambous
23 publications
Usman A. Khan
23 publications
Mohammadreza Doostmohammadian
21 publications
Paul Hand
20 publications
Ali Ahmed
17 publications
Saeed Ghadimi
15 publications
Nam Nguyen
11 publications
Houman Zarrabi
6 publications
Afshin Abdi
5 publications

∙ 04/13/2023

D-SVM over Networked Systems with Non-Ideal Linking Conditions

This paper considers distributed optimization algorithms, with applicati...

0 Mohammadreza Doostmohammadian, et al. ∙

∙ 08/30/2022

Distributed Constraint-Coupled Optimization over Lossy Networks

This paper considers distributed resource allocation and sum-preserving ...

0 Mohammadreza Doostmohammadian, et al. ∙

∙ 05/26/2022

RIGID: Robust Linear Regression with Missing Data

We present a robust framework to perform linear regression with missing ...

0 Alireza Aghasi, et al. ∙

∙ 03/28/2022

Distributed Finite-Sum Constrained Optimization subject to Nonlinearity on the Node Dynamics

Motivated by recent development in networking and parallel data-processi...

0 Mohammadreza Doostmohammadian, et al. ∙

∙ 09/10/2021

1st-Order Dynamics on Nonlinear Agents for Resource Allocation over Uniformly-Connected Networks

A general nonlinear 1st-order consensus-based solution for distributed c...

0 Mohammadreza Doostmohammadian, et al. ∙

∙ 04/01/2021

Distributed support-vector-machine over dynamic balanced directed networks

In this paper, we consider the binary classification problem via distrib...

0 Mohammadreza Doostmohammadian, et al. ∙

∙ 12/15/2020

Fast-Convergent Dynamics for Distributed Resource Allocation Over Sparse Time-Varying Networks

In this paper, distributed dynamics are deployed to solve resource alloc...

0 Mohammadreza Doostmohammadian, et al. ∙

∙ 11/19/2020

Inverse Constrained Reinforcement Learning

Standard reinforcement learning (RL) algorithms train agents to maximize...

10 Usman Anwar, et al. ∙

∙ 03/26/2020

Learning To Solve Differential Equations Across Initial Conditions

Recently, there has been a lot of interest in using neural networks for ...

5 Shehryar Malik, et al. ∙

∙ 06/25/2019

Bilinear Compressed Sensing under known Signs via Convex Programming

We consider the bilinear inverse problem of recovering two vectors, x∈R^...

0 Alireza Aghasi, et al. ∙

∙ 04/26/2019

Simultaneous Phase Retrieval and Blind Deconvolution via Convex Programming

We consider the task of recovering two real or complex m-vectors from ph...

0 Ali Ahmed, et al. ∙

∙ 09/22/2018

A convex program for bilinear inversion of sparse vectors

We consider the bilinear inverse problem of recovering two vectors, x∈R^...

0 Alireza Aghasi, et al. ∙

∙ 06/21/2018

Blind Deconvolutional Phase Retrieval via Convex Programming

We consider the task of recovering two real or complex m-vectors from ph...

0 Ali Ahmed, et al. ∙

∙ 06/17/2018

Fast Convex Pruning of Deep Neural Networks

We develop a fast, tractable technique called Net-Trim for simplifying a...

0 Alireza Aghasi, et al. ∙

∙ 11/16/2016

Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee

We introduce and analyze a new technique for model reduction for deep ne...

0 Alireza Aghasi, et al. ∙

∙ 03/29/2016

Sweep Distortion Removal from THz Images via Blind Demodulation

Heavy sweep distortion induced by alignments and inter-reflections of la...

0 Alireza Aghasi, et al. ∙

∙ 02/23/2016

Learning Shapes by Convex Composition

We present a mathematical and algorithmic scheme for learning the princi...

0 Alireza Aghasi, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world