| Generative adversarial networks for the design of acoustic metamaterials C Gurbuz, F Kronowetter, C Dietz, M Eser, J Schmid, S Marburg The Journal of the Acoustical Society of America 149 (2), 1162-1174, 2021 | 75 | 2021 |
| Recent advances in acoustic boundary element methods S Preuss, C Gurbuz, C Jelich, SK Baydoun, S Marburg Journal of Theoretical and Computational Acoustics 30 (03), 2240002, 2022 | 26 | 2022 |
| Spatial reconstruction of the sound field in a room in the modal frequency range using Bayesian inference JM Schmid, E Fernandez-Grande, M Hahmann, C Gurbuz, M Eser, ... The Journal of the Acoustical Society of America 150 (6), 4385-4394, 2021 | 19 | 2021 |
| Energy density-based non-negative surface contributions in interior acoustics C Gurbuz, JD Schmid, M Luegmair, S Marburg Journal of Sound and Vibration 527, 116824, 2022 | 7 | 2022 |
| Direct discrete complex image method for sound field evaluation above a non-locally reacting layer M Eser, C Gurbuz, E Brandão, S Marburg The Journal of the Acoustical Society of America 150 (5), 3509-3520, 2021 | 6 | 2021 |
| Efficient analysis of energy-based surface contributions for an entire acoustic cavity C Gurbuz, S Marburg Journal of Theoretical and Computational Acoustics 31 (03), 2350002, 2023 | 5 | 2023 |
| Gaussian processes for transfer path analysis applied on vehicle body vibration problems C Gurbuz, M Eser, JD Schmid, S Marburg, M Luegmair SAE International Journal of Advances and Current Practices in Mobility 5 …, 2022 | 5 | 2022 |
| Variational autoencoders for dimensionality reduction of automotive vibroacoustic models JD Schmid, A Hildenbrand, C Gurbuz, M Luegmair, S Marburg SAE International Journal of Advances and Current Practices in Mobility 5 …, 2022 | 4 | 2022 |
| Free-field characterization of locally reacting sound absorbers using Bayesian inference with sequential frequency transfer M Eser, S Mannhardt, C Gurbuz, E Brandão, S Marburg Mechanical Systems and Signal Processing 205, 110780, 2023 | 3 | 2023 |
| A multi-fidelity Gaussian process for efficient frequency sweeps in the acoustic design of a vehicle cabin C Gurbuz, M Eser, J Schaffner, S Marburg The Journal of the Acoustical Society of America 153 (4), 2006-2006, 2023 | 2 | 2023 |
| Physics-informed neural networks for acoustic boundary admittance estimation JD Schmid, P Bauerschmidt, C Gurbuz, M Eser, S Marburg Mechanical Systems and Signal Processing 215, 111405, 2024 | 1 | 2024 |
| A Pre-trained Frequency-parameterized Deep Learning Impedance Tube Method to Estimate the Sound Propagation Characteristics in Porous Media M Eser, L Emmerich, C Gurbuz, S Marburg Proceedings of the 10th Convention of the European Acoustics Association …, 2024 | | 2024 |
| Multi-fidelity modeling using Gaussian processes for the frequency dependent Helmholtz equation C Gurbuz INTER-NOISE and NOISE-CON Congress and Conference Proceedings 267 (1), 136-139, 2023 | | 2023 |
| Multi‐fidelity Gaussian processes for an efficient approximation of frequency sweeps in acoustic problems C Gurbuz, M Eser, S Marburg PAMM 23 (3), e202300171, 2023 | | 2023 |
| Sound energy-based surface contribution analysis for the vehicle interior noise problem C Gurbuz, S Marburg The Journal of the Acoustical Society of America 154 (4_supplement), A37-A37, 2023 | | 2023 |
| Physics-informed neural networks for characterization of structural dynamic boundary conditions JD Schmid, P Bauerschmidt, C Gurbuz, S Marburg The Journal of the Acoustical Society of America 154 (4_supplement), A99-A99, 2023 | | 2023 |
| Multi-fidelity models based on Gaussian processes in acoustic applications C Gurbuz, M Eser, S Marburg The Journal of the Acoustical Society of America 154 (4_supplement), A180-A180, 2023 | | 2023 |
| Inverse design of acoustic coatings using Bayesian inference K Modur, A Koncherry, C Lin, JM Schmid, C Gurbuz, S Marburg, ... The Journal of the Acoustical Society of America 154 (4_supplement), A198-A198, 2023 | | 2023 |
| Probabilistic Estimation of the Oblique Incidence Sound Absorption Coefficient-A Numerical Concept Study M Eser, C Gurbuz, E Brandao, S Marburg | | 2023 |
| Eine hybride Deep-Learning-Zwei-Mikrofon-Impedanzrohr-Methode zur Vorhersage der Schallausbreitungscharakteristika in porösen Medien M Eser, L Emmerich, C Gürbüz, S Marburg Fortschritte der Akustik-DAGA 2023, 49. Jahrestagung für Akustik, 06.-09 …, 2023 | | 2023 |
Steffen MarburgProfessor of Vibroacoustics of Vehicles and Machines, TUMVerified email at tum.de
