| Machine‐learning‐enhanced tail end prediction of structural response statistics in earthquake engineering D Thaler, M Stoffel, B Markert, F Bamer Earthquake Engineering & Structural Dynamics 50 (8), 2098-2114, 2021 | 34 | 2021 |
| Training data selection for machine learning-enhanced monte carlo simulations in structural dynamics D Thaler, L Elezaj, F Bamer, B Markert Applied Sciences 12 (2), 581, 2022 | 13 | 2022 |
| A Monte Carlo simulation approach in non-linear structural dynamics using convolutional neural networks F Bamer, D Thaler, M Stoffel, B Markert Frontiers in Built Environment 7, 679488, 2021 | 12 | 2021 |
| A machine learning enhanced structural response prediction strategy due to seismic excitation D Thaler, F Bamer, B Markert PAMM 20 (1), e202000294, 2021 | 6 | 2021 |
| Enhanced hamiltonian monte carlo simulations using hamiltonian neural networks D Thaler, SLN Dhulipala, F Bamer, B Markert, MD Shields PAMM 22 (1), e202200188, 2023 | 3 | 2023 |
| A comparison of two neural network architectures for fast structural response prediction D Thaler, F Bamer, B Markert PAMM 21 (1), e202100137, 2021 | 3 | 2021 |
| Reliability Analysis of Complex Systems using Subset Simulations with Hamiltonian Neural Networks D Thaler, SLN Dhulipala, F Bamer, B Markert, MD Shields arXiv preprint arXiv:2401.05244, 2024 | | 2024 |
| Model order reduction in subset simulations using the proper orthogonal decomposition D Thaler, MD Shields, B Markert, F Bamer PAMM 23 (4), e202300053, 2023 | | 2023 |
| Efficient Subset Simulation using Hamiltonian Neural Network enhanced Markov Chain Monte Carlo Methods D Thaler, SLN Dhulipala, F Bamer, B Markert, MD Shields | | 2023 |
Franz BamerPostDoc, RWTH Aachen UniversityVerified email at iam.rwth-aachen.de
