Mohamed Tarek

According to our database, Mohamed Tarek authored at least 12 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Earth Movers in The Big Data Era: A Review of Optimal Transport in Machine Learning.

Abdelwahed Khamis, Russell Tsuchida, Mohamed Tarek, Vivien Rolland, Lars Petersson

CoRR, 2023

A Practitioner's Guide to Bayesian Inference in Pharmacometrics using Pumas.

Mohamed Tarek, Jose Storopoli, Casey Davis, Chris Elrod, Julius Krumbiegel, Chris Rackauckas, Vijay Ivaturi

CoRR, 2023

2022

Simplifying deflation for non-convex optimization with applications in Bayesian inference and topology optimization.

Mohamed Tarek, Yijiang Huang

CoRR, 2022

Electrical Tomography Hardware Systems for Real-Time Applications: a Review.

Varun Kumar Tiwari, Mahmoud Méribout, Lyes Khezzar, Khalid Alhammadi, Mohamed Tarek

IEEE Access, 2022

2021

AbstractDifferentiation.jl: Backend-Agnostic Differentiable Programming in Julia.

Frank Schäfer, Mohamed Tarek, Lyndon White, Christopher Rackauckas

CoRR, 2021

Approximation schemes for stochastic compliance-based topology optimization with many loading scenarios.

Mohamed Tarek, Tapabrata Ray

CoRR, 2021

Robust and stochastic compliance-based topology optimization with finitely many loading scenarios.

Mohamed Tarek, Tapabrata Ray

CoRR, 2021

2020

Bayesian Neural Ordinary Differential Equations.

Raj Dandekar, Vaibhav Dixit, Mohamed Tarek, Aslan Garcia-Valadez, Christopher Rackauckas

CoRR, 2020

DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models.

Mohamed Tarek, Kai Xu, Martin Trapp, Hong Ge, Zoubin Ghahramani

CoRR, 2020

A Survey on Detection of Red Palm Weevil Inside Palm Trees: Challenges and Applications.

Hazem Alaa Eldin, Khaled Waleed, Moataz Samir, Mohamed Tarek, Hager Sobeah, Mustafa Abdul Salam

Proceedings of the ICSIE 2020: 2020 9th International Conference on Software and Information Engineering, 2020

2019

AdvancedHMC.jl: A robust, modular and e cient implementation of advanced HMC algorithms.

Kai Xu, Hong Ge, Will Tebbutt, Mohamed Tarek, Martin Trapp, Zoubin Ghahramani

Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019

Bijectors.jl: Flexible transformations for probability distributions.

Tor Erlend Fjelde, Kai Xu, Mohamed Tarek, Sharan Yalburgi, Hong Ge

Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019