Babak Maboudi Afkham

17 papers Journal 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bayesian Formulation of Acousto-Electric Tomography and Quantified Uncertainty in Limited View. CoRR Hjørdis Schlüter, Babak Maboudi Afkham
2026	J	`jnl`	Inhomogeneous Priors for Bayesian Inverse Problems. CoRR Babak Maboudi Afkham, Tomas Soto, Mirza Karamehmedovic, Lassi Roininen
2026	J	`jnl`	Simultaneous Estimation of Seabed and Its Roughness With Longitudinal Waves. CoRR Babak Maboudi Afkham, Ana Carpio
2025	J	`jnl`	Bayesian decomposition using Besov priors. CoRR Andreas Horst, Babak Maboudi Afkham, Yiqiu Dong, Jakob Lemvig
2025	J	`jnl`	Neural Optimal Design of Experiment for Inverse Problems. CoRR John E. Darges, Babak Maboudi Afkham, Matthias Chung
2025	J	`jnl`	Uncertainty Quantification for Linear Inverse Problems with Besov Prior: A Randomize-Then-Optimize Method. CoRR Andreas Horst, Babak Maboudi Afkham, Yiqiu Dong, Jakob Lemvig
2025	J	`jnl`	Uncertainty Quantification for Linear Inverse Problems with Besov Prior: A Randomize-Then-Optimize Method. Stat. Comput. Andreas Horst, Babak Maboudi Afkham, Yiqiu Dong, Jakob Lemvig
2024	J	`jnl`	Inferring Object Boundaries and Their Roughness with Uncertainty Quantification. J. Math. Imaging Vis. Babak Maboudi Afkham, Nicolai André Brogaard Riis, Yiqiu Dong, Per Christian Hansen
2023	J	`jnl`	CUQIpy - Part I: computational uncertainty quantification for inverse problems in Python. CoRR Nicolai André Brogaard Riis, Amal Mohammed A. Alghamdi, Felipe Uribe, Silja L. Christensen, Babak Maboudi Afkham, Per Christian Hansen, Jakob Sauer Jørgensen
2023	J	`jnl`	CUQIpy - Part II: computational uncertainty quantification for PDE-based inverse problems in Python. CoRR Amal Mohammed A. Alghamdi, Nicolai André Brogaard Riis, Babak Maboudi Afkham, Felipe Uribe, Silja L. Christensen, Per Christian Hansen, Jakob Sauer Jørgensen
2023	J	`jnl`	Goal-oriented Uncertainty Quantification for Inverse Problems via Variational Encoder-Decoder Networks. CoRR Babak Maboudi Afkham, Julianne Chung, Matthias Chung
2023	J	`jnl`	Inferring Features with Uncertain Roughness. CoRR Babak Maboudi Afkham, Nicolai André Brogaard Riis, Yiqiu Dong, Per Christian Hansen
2023	J	`jnl`	Uncertainty Quantification of Inclusion Boundaries in the Context of X-Ray Tomography. SIAM/ASA J. Uncertain. Quantification Babak Maboudi Afkham, Yiqiu Dong, Per Christian Hansen
2021	J	`jnl`	Learning Regularization Parameters of Inverse Problems via Deep Neural Networks. CoRR Babak Maboudi Afkham, Julianne Chung, Matthias Chung
2021	J	`jnl`	Uncertainty Quantification of Inclusion Boundaries in the Context of X-ray Tomography. CoRR Babak Maboudi Afkham, Yiqiu Dong, Per Christian Hansen
2019	J	`jnl`	Structure-Preserving Model-Reduction of Dissipative Hamiltonian Systems. J. Sci. Comput. Babak Maboudi Afkham, Jan S. Hesthaven
2017	J	`jnl`	Structure Preserving Model Reduction of Parametric Hamiltonian Systems. SIAM J. Sci. Comput. Babak Maboudi Afkham, Jan S. Hesthaven