| Integration based profile likelihood calculation for PDE constrained parameter estimation problems R Boiger, J Hasenauer, S Hross, B Kaltenbacher Inverse Problems 32 (12), 125009, 2016 | 26 | 2016 |
| Range-relaxed criteria for choosing the Lagrange multipliers in nonstationary iterated Tikhonov method R Boiger, A Leitao, BF Svaiter IMA Journal of Numerical Analysis 40 (1), 606-627, 2020 | 16 | 2020 |
| An online parameter identification method for time dependent partial differential equations R Boiger, B Kaltenbacher Inverse Problems 32 (4), 045006, 2016 | 15 | 2016 |
| Retrieval of aerosol properties from in situ, multi-angle light scattering measurements using invertible neural networks R Boiger, RL Modini, A Moallemi, D Degen, A Adelmann, M Gysel-Beer Journal of Aerosol Science 163, 105977, 2022 | 9 | 2022 |
| Fast, efficient and flexible particle accelerator optimisation using densely connected and invertible neural networks R Bellotti, R Boiger, A Adelmann Information 12 (9), 351, 2021 | 8 | 2021 |
| Exploring temperature-modulated operation mode of metal oxide gas sensors for robust signal processing R Boiger, S Defregger, M Grbic, A Köck, M Mücke, ... Proceedings 2 (13), 2019 | 7 | 2019 |
| A range-relaxed criteria for choosing the Lagrange multipliers in the iterated Tikhonov Kaczmarz method for solving systems of linear ill-posed equations R Filippozzi, JC Rabelo, R Boiger, A Leitão Inverse Problems 37 (4), 045005, 2021 | 4 | 2021 |
| Continuous analogue to iterative optimization for PDE-constrained inverse problems R Boiger, A Fiedler, J Hasenauer, B Kaltenbacher Inverse Problems in Science and Engineering 27 (6), 710-734, 2019 | 4 | 2019 |
| Temperature modulated operation of SnO2-based gas sensor arrays R Boiger, S Defregger, A Köck, M Mücke, R Wimmer-Teubenbacher, ... 2018 12th International Conference on Advanced Semiconductor Devices and …, 2018 | 2 | 2018 |
| Fast uncertainty quantification of spent nuclear fuel with neural networks A Albà, A Adelmann, L Münster, D Rochman, R Boiger Annals of Nuclear Energy 196, 110204, 2024 | 1 | 2024 |
| Lasso Monte Carlo, a Variation on Multi Fidelity Methods for High Dimensional Uncertainty Quantification A Albà, R Boiger, D Rochman, A Adelmann arXiv preprint arXiv:2210.03634, 2022 | 1 | 2022 |
| Endogenous strategies for choosing the Lagrange multipliers in nonstationary iterated Tikhonov method for ill-posed problems R Boiger, A Leitao, BF Svaiter | 1 | 2016 |
| Direct mineral content prediction from drill core images via transfer learning R Boiger, SV Churakov, I Ballester Llagaria, G Kosakowski, R Wüst, ... Swiss Journal of Geosciences 117 (1), 8, 2024 | | 2024 |
| Machine learning based longitudinal virtual diagnostics at SwissFEL S Bettoni, GL Orlandi, F Salomone, R Boiger, R Ischebeck, R Xue, ... Review of Scientific Instruments 95 (1), 2024 | | 2024 |
| A New Approach using Characteristic Video Signals to Improve the Stability of Manufacturing Processes F Ringsleben, M Benndorf, T Haenselmann, R Boiger, M Mücke, M Fehr, ... 2018 Digital Image Computing: Techniques and Applications (DICTA), 1-7, 2018 | | 2018 |
| Advanced Technology Processes for Manufacturing of SnO2 and NiO-Based Gas Sensors and Their Properties R Wimmer-Teubenbacher, S Defregger, R Boiger, A Köck, I Hotovy, ... 2018 12th International Conference on Advanced Semiconductor Devices and …, 2018 | | 2018 |
| Parameter identification and uncertainty quantification in time-dependent models, based on dynamic update laws R Boiger Universität Hohenheim, 2016 | | 2016 |
| PROFILE LIKELIHOOD CALCULATION FOR TIME-DEPENDENT PDE CONSTRAINED PARAMETER ESTIMATION PROBLEMS R Boiger, K am Wörthersee Book of Abstracts Computational Methods in Applied Mathematics (CMAM-7) July …, 2016 | | 2016 |
