Ahmed Attia - RankMe

25 papers Journal 22Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Probabilistic Approach to Trajectory-Based Optimal Experimental Design. CoRR Ahmed Attia
2026	J	`jnl`	Improving Low-Resource Machine Translation via Round-Trip Reinforcement Learning. CoRR Ahmed Attia, Alham Fikri
2025	J	`jnl`	Distributional Sensitivity Analysis: Enabling Differentiability in Sample-Based Inference. CoRR Pi-Yueh Chuang, Ahmed Attia, Emil M. Constantinescu
2025	J	`jnl`	Optimal experimental design with k-space data: application to inverse hemodynamics. CoRR Miriam Löcke, Ahmed Attia, Dariusz Ucínski, Cristóbal Bertoglio
2025	J	`jnl`	Robust A-Optimal Experimental Design for Sensor Placement in Bayesian Linear Inverse Problems. SIAM/ASA J. Uncertain. Quantification Ahmed Attia, Sven Leyffer, Todd S. Munson
2024	J	`jnl`	Probabilistic Approach to Black-Box Binary Optimization with Budget Constraints: Application to Sensor Placement. CoRR Ahmed Attia
2024	J	`jnl`	PyOED: An Extensible Suite for Data Assimilation and Model-Constrained Optimal Design of Experiments. ACM Trans. Math. Softw. Abhijit Chowdhary, Shady E. Ahmed, Ahmed Attia
2024	J	`jnl`	Robust optimal design of large-scale Bayesian nonlinear inverse problems. CoRR Abhijit Chowdhary, Ahmed Attia, Alen Alexanderian
2023	J	`jnl`	Centralized calibration of power system dynamic models using variational data assimilation. CoRR Ahmed Attia, Daniel Adrian Maldonado, Emil M. Constantinescu, Mihai Anitescu
2023	J	`jnl`	PyOED: An Extensible Suite for Data Assimilation and Model-Constrained Optimal Design of Experiments. CoRR Ahmed Attia, Shady E. Ahmed
2023	J	`jnl`	Robust A-Optimal Experimental Design for Bayesian Inverse Problems. CoRR Ahmed Attia, Sven Leyffer, Todd S. Munson
2022	J	`jnl`	Optimal Experimental Design for Inverse Problems in the Presence of Observation Correlations. SIAM J. Sci. Comput. Ahmed Attia, Emil M. Constantinescu
2022	J	`jnl`	Stochastic Learning Approach for Binary Optimization: Application to Bayesian Optimal Design of Experiments. SIAM J. Sci. Comput. Ahmed Attia, Sven Leyffer, Todd S. Munson
2021	J	`jnl`	Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments. CoRR Ahmed Attia, Sven Leyffer, Todd S. Munson
2019	—	`conf`	Brain-in-Car: A Brain Activity-based Emotion Recognition Embedded System for Automotive. ICVES Abdelrahman El-Amin, Seif Eldawlatly, Ahmed Attia, Omar Hammad, Osama Nasr, Osama Ghozlan, Remon Raouf, Ahmed M. Hamed, Hany Eldawlatly, Magdy A. El-Moursy
2019	—	`conf`	Tuning Covariance Localization Using Machine Learning. ICCS (4) Azam S. Zavar Moosavi, Ahmed Attia, Adrian Sandu
2018	J	`jnl`	A Machine Learning Approach to Adaptive Covariance Localization. CoRR Azam S. Zavar Moosavi, Ahmed Attia, Adrian Sandu
2018	J	`jnl`	An Optimal Experimental Design Framework for Adaptive Inflation and Covariance Localization for Ensemble Filters. CoRR Ahmed Attia, Emil M. Constantinescu
2018	J	`jnl`	Goal-Oriented Optimal Design of Experiments for Large-Scale Bayesian Linear Inverse Problems. CoRR Ahmed Attia, Alen Alexanderian, Arvind K. Saibaba
2017	J	`jnl`	DATeS: A Highly-Extensible Data Assimilation Testing Suite. CoRR Ahmed Attia, Adrian Sandu
2016	J	`jnl`	Cluster Sampling Filters for Non-Gaussian Data Assimilation. CoRR Ahmed Attia, Azam S. Zavar Moosavi, Adrian Sandu
2016	J	`jnl`	The Reduced-Order Hybrid Monte Carlo Sampling Smoother. CoRR Ahmed Attia, Razvan Stefanescu, Adrian Sandu
2015	J	`jnl`	A Hybrid Monte-Carlo Sampling Smoother for Four Dimensional Data Assimilation. CoRR Ahmed Attia, Vishwas Rao, Adrian Sandu
2014	—	`conf`	A Sampling Approach for Four Dimensional Data Assimilation. DyDESS Ahmed Attia, Vishwas Rao, Adrian Sandu
2014	J	`jnl`	A Sampling Filter for Non-Gaussian Data Assimilation. CoRR Ahmed Attia, Adrian Sandu