Ali Ahmed

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Information Technology University

Inverse Constrained Reinforcement Learning

Standard reinforcement learning (RL) algorithms train agents to maximize...
11/19/2020 ∙ by Usman Anwar, et al. ∙ 10 ∙ share

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Subsampled Fourier Ptychography using Pretrained Invertible and Untrained Network Priors

Recently pretrained generative models have shown promising results for s...
05/13/2020 ∙ by Fahad Shamshad, et al. ∙ 7 ∙ share

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Learning To Solve Differential Equations Across Initial Conditions

Recently, there has been a lot of interest in using neural networks for ...
03/26/2020 ∙ by Shehryar Malik, et al. ∙ 5 ∙ share

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Class-Specific Blind Deconvolutional Phase Retrieval Under a Generative Prior

In this paper, we consider the highly ill-posed problem of jointly recov...
02/28/2020 ∙ by Fahad Shamshad, et al. ∙ 0 ∙ share

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Sub-Nyquist Sampling of Sparse and Correlated Signals in Array Processing

This paper considers efficient sampling of simultaneously sparse and cor...
10/19/2019 ∙ by Ali Ahmed, et al. ∙ 0 ∙ share

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Blind Image Deconvolution using Pretrained Generative Priors

This paper proposes a novel approach to regularize the ill-posed blind i...
08/20/2019 ∙ by Muhammad Asim, et al. ∙ 16 ∙ share

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Bilinear Compressed Sensing under known Signs via Convex Programming

We consider the bilinear inverse problem of recovering two vectors, x∈R^...
06/25/2019 ∙ by Alireza Aghasi, et al. ∙ 0 ∙ share

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Invertible generative models for inverse problems: mitigating representation error and dataset bias

Trained generative models have shown remarkable performance as priors fo...
05/28/2019 ∙ by Muhammad Asim, et al. ∙ 0 ∙ share

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Simultaneous Phase Retrieval and Blind Deconvolution via Convex Programming

We consider the task of recovering two real or complex m-vectors from ph...
04/26/2019 ∙ by Ali Ahmed, et al. ∙ 0 ∙ share

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Deep Ptych: Subsampled Fourier Ptychography using Generative Priors

This paper proposes a novel framework to regularize the highly ill-posed...
12/22/2018 ∙ by Fahad Shamshad, et al. ∙ 0 ∙ share

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Leveraging Deep Stein's Unbiased Risk Estimator for Unsupervised X-ray Denoising

Among the plethora of techniques devised to curb the prevalence of noise...
11/29/2018 ∙ by Fahad Shamshad, et al. ∙ 0 ∙ share

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Blind Deconvolution using Modulated Inputs

This paper considers the blind deconvolution of multiple modulated signa...
11/20/2018 ∙ by Ali Ahmed, et al. ∙ 0 ∙ share

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A convex program for bilinear inversion of sparse vectors

We consider the bilinear inverse problem of recovering two vectors, x∈R^...
09/22/2018 ∙ by Alireza Aghasi, et al. ∙ 0 ∙ share

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Robust Compressive Phase Retrieval via Deep Generative Priors

This paper proposes a new framework to regularize the highly ill-posed a...
08/17/2018 ∙ by Fahad Shamshad, et al. ∙ 0 ∙ share

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Blind Deconvolutional Phase Retrieval via Convex Programming

We consider the task of recovering two real or complex m-vectors from ph...
06/21/2018 ∙ by Ali Ahmed, et al. ∙ 0 ∙ share

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Solving Bilinear Inverse Problems using Deep Generative Priors

This paper proposes a new framework to handle the bilinear inverse probl...
02/12/2018 ∙ by Muhammad Asim, et al. ∙ 0 ∙ share

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Ali Ahmed

Featured Co-authors

Paul Hand

Alireza Aghasi

Muhammad Awais

Muhammad Asim

Fahad Shamshad

Babhru Joshi

Muhammad Umair

Shehryar Malik

Usman Anwar

Asif Hanif

Zain ul Aabidin Lodhi

Inverse Constrained Reinforcement Learning

Subsampled Fourier Ptychography using Pretrained Invertible and Untrained Network Priors

Learning To Solve Differential Equations Across Initial Conditions

Class-Specific Blind Deconvolutional Phase Retrieval Under a Generative Prior

Sub-Nyquist Sampling of Sparse and Correlated Signals in Array Processing

Blind Image Deconvolution using Pretrained Generative Priors

Bilinear Compressed Sensing under known Signs via Convex Programming

Invertible generative models for inverse problems: mitigating representation error and dataset bias

Simultaneous Phase Retrieval and Blind Deconvolution via Convex Programming

Deep Ptych: Subsampled Fourier Ptychography using Generative Priors

Leveraging Deep Stein's Unbiased Risk Estimator for Unsupervised X-ray Denoising

Blind Deconvolution using Modulated Inputs

A convex program for bilinear inversion of sparse vectors

Robust Compressive Phase Retrieval via Deep Generative Priors

Blind Deconvolutional Phase Retrieval via Convex Programming

Solving Bilinear Inverse Problems using Deep Generative Priors