| Multi-objective loss balancing for physics-informed deep learning R Bischof, M Kraus arXiv preprint arXiv:2110.09813, 2021 | 98 | 2021 |
| Mixture-of-experts-ensemble meta-learning for physics-informed neural networks R Bischof, MA Kraus Proceedings of 33. Forum Bauinformatik, 2022 | 10 | 2022 |
| Design space exploration and explanation via conditional variational autoencoders in meta-model-based conceptual design of pedestrian bridges VM Balmer, SV Kuhn, R Bischof, L Salamanca, W Kaufmann, ... Automation in Construction 163 (2024), 105411, 2022 | 8 | 2022 |
| Multi-objective loss balancing for physics-informed deep learning (2021) R Bischof, M Kraus URL https://doi. org/10.13140/RG 2 (20057.24169), 0 | 7 | |
| Artificial intelligence-finite element method-hybrids for efficient nonlinear analysis of concrete structures MA Kraus, R Bischof, W Kaufmann, K Thoma International Probabilistic Workshop 2022 36, 99-108, 2022 | 4 | 2022 |
| ntab0: Design priors for AI-augmented generative design of network tied-arch-bridges SV Kuhn, R Bischof, G Klonaris, W Kaufmann, MA Kraus Proceedings of 33. Forum Bauinformatik, 2022 | 4 | 2022 |
| Assessment and Integration of Sustainability and Circularity Metricswithin Generative Bridge Design SV Kuhn, A Hodel, R Bischof, V Balmer, F Pérez-Cruz, W Kaufmann, ... Intelligent Computing in Engineering 2023, 2023 | 2 | 2023 |
| Counterfactual Image Generation for adversarially robust and interpretable Classifiers R Bischof, F Scheidegger, MA Kraus, ACI Malossi arXiv preprint arXiv:2310.00761, 2023 | 1 | 2023 |
| Strength Lab AI: A Mixture-of-Experts Deep Learning Approach for Limit State Analysis and Design of Monolithic and Laminate Structures made of Glass M Kraus, R Bischof, H Riedel, L Schmeiser, A Pauli, I Stelzer, M Drass Challenging Glass Conference Proceedings 9, 2024 | | 2024 |
| Parametrische Modellierung und generatives tiefes Lernen für den Brückenentwurf MA Kraus, SV Kuhn, A Hodel, R Bischof, A Maissen, L Salamanca Mino, ... Bautechnik 101 (3), 174-180, 2024 | | 2024 |
| Narzędzie SOUNDLAB AI-uczenie maszynowe do przewidywania wartości izolacyjności akustycznej MA Kraus, M Drass, H Riedel, R Bischof, L Schmeiser, I Stelzer Świat Szkła 29, 2024 | | 2024 |
| Temp-AI-Estimator: Interior temperature prediction using domain-informed Deep Learning R Bischof, M Sprenger, H Riedel, M Bumann, W Walczok, M Drass, ... Energy and Buildings 297, 113425, 2023 | | 2023 |
| Predictive modelling and latent space exploration of steel profile overstrength factors using multi‐head autoencoder‐regressors MA Kraus, A Müller, R Bischof, A Taras ce/papers 6 (3-4), 836-842, 2023 | | 2023 |
| SOUNDLAB AI Tool-Machine learning for sound insulation value predictions IMA Kraus, MMNI UG, H Riedel, R Bischof, L Schmeiser, I Stelzer Glass Performance Days, 2023 | | 2023 |
Michael Anton KrausProfessor for Structural Mechanics and Design, ISMD, TU Darmstadt在 ismd.tu-darmstadt.de 的电子邮件经过验证
