| Structure preserving model reduction of parametric Hamiltonian systems BM Afkham, JS Hesthaven SIAM Journal on Scientific Computing 39 (6), A2616-A2644, 2017 | 105 | 2017 |
| Structure-preserving model-reduction of dissipative Hamiltonian systems B Maboudi Afkham, JS Hesthaven Journal of Scientific Computing 81, 3-21, 2019 | 40 | 2019 |
| Learning regularization parameters of inverse problems via deep neural networks BM Afkham, J Chung, M Chung Inverse Problems 37 (10), 105017, 2021 | 38 | 2021 |
| Conservative model order reduction for fluid flow BM Afkham, N Ripamonti, Q Wang, JS Hesthaven Quantification of Uncertainty: Improving Efficiency and Technology: QUIET …, 2020 | 23 | 2020 |
| Symplectic Model-Reduction with a Weighted Inner Product BM Afkham, A Bhatt, B Haasdonk, JS Hesthaven arXiv preprint arXiv:1803.07799, 2018 | 10 | 2018 |
| Uncertainty quantification of inclusion boundaries in the context of X-ray tomography BM Afkham, Y Dong, PC Hansen SIAM/ASA Journal on Uncertainty Quantification 11 (1), 31-61, 2023 | 7 | 2023 |
| CUQIpy-Part I: computational uncertainty quantification for inverse problems in Python NAB Riis, A Alghamdi, F Uribe, SL Christensen, B Afkham, PC Hansen, ... Inverse Problems, 2023 | 4 | 2023 |
| A Bayesian approach for consistent reconstruction of inclusions BM Afkham, K Knudsen, AK Rasmussen, T Tarvainen Inverse Problems 40 (4), 045004, 2024 | 3 | 2024 |
| CUQIpy-Part II: computational uncertainty quantification for PDE-based inverse problems in Python A Alghamdi, NAB Riis, B Afkham, F Uribe, SL Christensen, PC Hansen, ... Inverse Problems, 2023 | 3 | 2023 |
| Inferring Features with Uncertain Roughness BM Afkham, NAB Riis, Y Dong, PC Hansen arXiv preprint arXiv:2305.04608, 2023 | 1 | 2023 |
| Inferring Object Boundaries and their Roughness with Uncertainty Quantification BM Afkham, NAB Riis, Y Dong, PC Hansen | | 2024 |
| Goal-oriented Uncertainty Quantification for Inverse Problems via Variational Encoder-Decoder Networks BM Afkham, J Chung, M Chung arXiv preprint arXiv:2304.08324, 2023 | | 2023 |
| Computational Uncertainty Quantification for parametrized Magnetic Resonance Electrical Impedance Tomography KK Kenneth Scheel, Babak Maboudi Afkham 23rd International Conference on Biomedical Applications of ELECTRICAL …, 2023 | | 2023 |
| Geometric Model Order Reduction BM Afkham Ecole Polytechnique Fédérale de Lausanne, 2018 | | 2018 |
| Uncertainty Quantification for Linear Inverse problems with Besov Prior A Horst, Y Dong, J Lemvig, B Afkham | | |
| Towards UQ for Magnetic Resonance Electrical Impedance Tomography-M. Sc. project K Scheel, K Knudsen, BM Afkham | | |
| Symplectic model order reduction Author and Presenter: Babak Maboudi Afkham (EPF Lausanne, Switzerland)(Supervised by Jan S. Hesthaven (EPF Lausanne, Switzerland)) BM Afkham | | |
| Model Reduction While Preserving A First Integral BM Afkham, JS Hesthaven MoRePaS 2018, 13, 0 | | |
