42 citations · 133 across the 18 of their papers we have counts for
4 papers · 1 filter
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…
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…
Deep Ptych: Subsampled Fourier Ptychography using Generative Priors
Fahad Shamshad, Farwa Abbas, Ali Ahmed
This paper proposes a novel framework to regularize the highly ill-posed and non-linear Fourier ptychography problem using generative models. We demonstrate experimentally that our…
Robust Compressive Phase Retrieval via Deep Generative Priors
Fahad Shamshad, Ali Ahmed
This paper proposes a new framework to regularize the highly ill-posed and non-linear phase retrieval problem through deep generative priors using simple gradient descent algorithm…