3 citations · 4 across the 4 of their papers we have counts for
15 papers
Inverse Constrained Reinforcement Learning
Usman Anwar, Shehryar Malik, Alireza Aghasi +1
In real world settings, numerous constraints are present which are hard to specify mathematically. However, for the real world deployment of reinforcement learning (RL), it is crit…
Subsampled Fourier Ptychography using Pretrained Invertible and Untrained Network Priors
Fahad Shamshad, Asif Hanif, Ali Ahmed
Recently pretrained generative models have shown promising results for subsampled Fourier Ptychography (FP) in terms of quality of reconstruction for extremely low sampling rate an…
Learning To Solve Differential Equations Across Initial Conditions
Shehryar Malik, Usman Anwar, Ali Ahmed +1
Recently, there has been a lot of interest in using neural networks for solving partial differential equations. A number of neural network-based partial differential equation solve…
Class-Specific Blind Deconvolutional Phase Retrieval Under a Generative Prior
Fahad Shamshad, Ali Ahmed
In this paper, we consider the highly ill-posed problem of jointly recovering two real-valued signals from the phaseless measurements of their circular convolution. The problem ari…
Blind Image Deconvolution using Pretrained Generative Priors
Muhammad Asim, Fahad Shamshad, Ali Ahmed
This paper proposes a novel approach to regularize the ill-posed blind image deconvolution (blind image deblurring) problem using deep generative networks. We employ two separate d…
Bilinear Compressed Sensing under known Signs via Convex Programming
Alireza Aghasi, Ali Ahmed, Paul Hand +1
We consider the bilinear inverse problem of recovering two vectors, and , from their entrywise product. We consider…