Shehryar Malik

I am the CEO of AxcelerateAI, where we focus on leveraging state-of-the-art AI research to solve a wide variety of industrial problems.

Previously, I was associated with the Center of Artificial Intelligence & Computational Science, a research laboratory at ITU headed by Ali Ahmed.

From a research perspective, I am generally interested in all things deep learning. These days I am primarily interested in semi and self-supervised learning. Before this, I worked in reinforcement learning.

Email  /  GitHub  /  Google Scholar  /  LinkedIn

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Theses

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Neural Network Pruning Through Constrained Reinforcement Learning


Master's Thesis, 2021
Advisor: Murtaza Taj
thesis / paper

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Urdu Handwriting Recognition using Deep Learning


Senior Project, 2019
Advisor: Ubaid Ullah Fayyaz
thesis / paper / code / blog

Research


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Inverse Constrained Reinforcement Learning


Shehryar Malik*, Usman Anwar*, Alireza Aghasi, Ali Ahmed
ICML, 2021
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Automatically infer arbitrary Markovian constraints from data.

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Learning To Solve Differential Equations Across Initial Conditions


Shehryar Malik*, Usman Anwar*, Ali Ahmed, Alireza Aghasi
ICLR DeepDiffEq Workshop, 2020
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Train neural networks to solve PDEs for multiple initial conditions.