| Bayesian neural ordinary differential equations R Dandekar, K Chung, V Dixit, M Tarek, A Garcia-Valadez, KV Vemula, ... arXiv preprint arXiv:2012.07244, 2020 | 55 | 2020 |
| Accelerated predictive healthcare analytics with pumas, a high performance pharmaceutical modeling and simulation platform C Rackauckas, Y Ma, A Noack, V Dixit, PK Mogensen, S Byrne, ... BioRxiv, 2020.11. 28.402297, 2020 | 40 | 2020 |
| AdvancedHMC. jl: A robust, modular and efficient implementation of advanced HMC algorithms K Xu, H Ge, W Tebbutt, M Tarek, M Trapp, Z Ghahramani Symposium on Advances in Approximate Bayesian Inference, 1-10, 2020 | 23 | 2020 |
| Adaptive continuation solid isotropic material with penalization for volume constrained compliance minimization M Tarek, T Ray Computer Methods in Applied Mechanics and Engineering 363, 112880, 2020 | 8 | 2020 |
| Abstractdifferentiation. jl: Backend-agnostic differentiable programming in Julia F Schäfer, M Tarek, L White, C Rackauckas arXiv preprint arXiv:2109.12449, 2021 | 7 | 2021 |
| Earth movers in the big data era: A review of optimal transport in machine learning A Khamis, R Tsuchida, M Tarek, V Rolland, L Petersson arXiv preprint arXiv:2305.05080, 2023 | 6 | 2023 |
| Robust and stochastic compliance-based topology optimization with finitely many loading scenarios M Tarek, T Ray Structural and Multidisciplinary Optimization 64 (6), 3439-3452, 2021 | 5 | 2021 |
| DynamicPPL: Stan-like speed for dynamic probabilistic models M Tarek, K Xu, M Trapp, H Ge, Z Ghahramani arXiv preprint arXiv:2002.02702, 2020 | 5 | 2020 |
| Bijectors. jl: Flexible transformations for probability distributions TE Fjelde, K Xu, M Tarek, S Yalburgi, H Ge Symposium on Advances in Approximate Bayesian Inference, 1-17, 2020 | 5 | 2020 |
| Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey A Khamis, R Tsuchida, M Tarek, V Rolland, L Petersson IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 1 | 2024 |
| Approximation schemes for stochastic compliance-based topology optimization with many loading scenarios M Tarek, T Ray Structural and Multidisciplinary Optimization 65 (5), 138, 2022 | 1 | 2022 |
| Simplifying deflation for non-convex optimization with applications in Bayesian inference and topology optimization M Tarek, Y Huang arXiv preprint arXiv:2201.11926, 2022 | 1 | 2022 |
| Some popular nonlinear programming algorithms M Tarek | 1 | 2021 |
| Subspace MCMC algorithm for Bayesian parameter estimation of hierarchical PK/PD models in Pumas M Francis, V Ivaturi, M Tarek Population Approach Group in Europe, 2021 | 1 | 2021 |
| Preconditioners.jl: A Flexible and Extensible Framework for Preconditioning in Iterative Solvers M Tarek 10.13140/RG.2.2.26655.02721, 2023 | | 2023 |
| A Practitioner’s Guide to Bayesian Inference in Pharmacometrics using Pumas M Tarek, J Storopoli, C Davis, C Elrod, J Krumbiegel, C Rackauckas, ... | | 2023 |
| COMPUTATIONAL ADVANCES IN CONTINUUM TOPOLOGY OPTIMIZATION ALGORITHMS M Mohamed UNSW Sydney, 2022 | | 2022 |
| General deflation for finding multiple local optima in non-convex optimization M Tarek, Y Huang | | |
