| Femtosecond photoexcitation dynamics inside a quantum solvent B Thaler, S Ranftl, P Heim, S Cesnik, L Treiber, R Meyer, AW Hauser, ... Nature communications 9 (1), 4006, 2018 | 33 | 2018 |
| Bayesian surrogate analysis and uncertainty propagation S Ranftl, W von der Linden Physical Sciences Forum (MaxEnt 2021 Proceedings) 3 (1), 6, 2021 | 19 | 2021 |
| Bayesian uncertainty quantification with multi-fidelity data and gaussian processes for impedance cardiography of aortic dissection S Ranftl, GM Melito, V Badeli, A Reinbacher-Köstinger, K Ellermann, ... Entropy 22 (1), 58, 2019 | 18 | 2019 |
| A connection between probability, physics and neural networks S Ranftl Physical Sciences Forum (MaxEnt 2022 Proceedings) 5 (1), 11, 2022 | 12 | 2022 |
| Conservation of Hot Thermal Spin–Orbit Population of 2P Atoms in a Cold Quantum Fluid Environment B Thaler, R Meyer, P Heim, S Ranftl, JV Pototschnig, AW Hauser, M Koch, ... The Journal of Physical Chemistry A 123 (18), 3977-3984, 2019 | 7 | 2019 |
| On the diagnosis of aortic dissection with impedance cardiography: a Bayesian feasibility study framework with multi-fidelity simulation data S Ranftl, GM Melito, V Badeli, A Reinbacher-Köstinger, K Ellermann, ... Multidisciplinary Digital Publishing Institute Proceedings 33 (1), 24, 2019 | 7 | 2019 |
| A Bayesian approach to blood rheological uncertainties in aortic hemodynamics S Ranftl, TS Müller, U Windberger, G Brenn, W von der Linden International Journal for Numerical Methods in Biomedical Engineering, e3576, 2021 | 6 | 2021 |
| Robust Bayesian Target Value Optimization JG Hoffer, S Ranftl, BC Geiger arXiv preprint arXiv:2211.01446, 2023 | 5 | 2023 |
| Bayesian inference of multi-sensors impedance cardiography for detection of aortic dissection V Badeli, S Ranftl, GM Melito, A Reinbacher-Köstinger, W Von Der Linden, ... COMPEL-The international journal for computation and mathematics in …, 2022 | 5 | 2022 |
| Stochastic Modeling of Inhomogeneities in the Aortic Wall and Uncertainty Quantification using a Bayesian Encoder-Decoder Surrogate S Ranftl, M Rolf-Pissarczyk, G Wolkerstorfer, A Pepe, J Egger, ... Computer Methods in Applied Mechanics and Engineering 401 (B), 115, 2022 | 4 | 2022 |
| Cross-Entropy Learning for Aortic Pathology Classification of Artificial Multi-Sensor Impedance Cardiography Signals T Spindelböck, S Ranftl, W von der Linden Entropy 23 (12), 1661, 2021 | 4 | 2021 |
| Bayesian Analysis of Femtosecond Pump-Probe Photoelectron-Photoion Coincidence Spectra with Fluctuating Laser Intensities P Heim, M Rumetshofer, S Ranftl, B Thaler, WE Ernst, M Koch, ... Entropy 21 (1), 93, 2019 | 3 | 2019 |
| Bayesian source separation of electrical bioimpedance signals C Pichler, S Ranftl, A Heller, E Arrigoni, W von der Linden Biomedical Signal Processing and Control 67, 102541, 2021 | 2 | 2021 |
| A neural network-based material cell for elastoplasticity and its performance in FE analyses of boundary value problems S Guan, X Zhang, S Ranftl, T Qu International Journal of Plasticity 171, 103811, 2023 | 1 | 2023 |
| Bayesian Analysis of Femtosecond Pump-Probe Photoelectron-Photoion Coincidence Spectra P Heim, M Rumetshofer, S Ranftl, B Thaler, WE Ernst, M Koch, ... International Workshop on Bayesian Inference and Maximum Entropy Methods in …, 2018 | 1 | 2018 |
| A Bayesian approach to blood rheological uncertainties in aortic hemodynamics, Cover Image, Volume 39, Issue 4 S Ranftl, TS Müller, U Windberger, G Brenn, W von der Linden International Journal for Numerical Methods in Biomedical Engineering 39 (4 …, 2023 | | 2023 |
| Physics-consistency of infinite neural networks S Ranftl NeurIPS 2023 Workshop: Machine Learning and the Physical Sciences, 2023 | | 2023 |
| Physics-Consistency Condition for Infinite Neural Networks and Experimental Characterization S Ranftl, S Guan Physical Sciences Forum (MaxEnt 2023 Proceedings) 9 (1), 2023 | | 2023 |
| The 40th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering W von der Linden, S Ranftl MDPI-Multidisciplinary Digital Publishing Institute, 2022 | | 2022 |
| On the uncertainty of the surrogate-a Bayesian estimate S Ranftl | | 2021 |
Wolfgang von der LindenProfessor of Theoretical PhysicsVerified email at tugraz.at
