| Predicting semantic building information (bim) with recurrent neural networks B Mete, J Bielski, V Eisenstadt, C Langenhan, F Petzold, KD Althoff European Conference on Product and Process Modeling, 2022 | 4 | 2022 |
| Autocompletion Of Floor Plans For The Early Design Phase In Architecture: Foundations, Existing Methods, And Research Outlook. V Eisenstadt, J Bielski, B Mete, C Langenhan, K Althoff, A Dengel Proceedings of the 27th International Conference of the Association for …, 2022 | 3 | 2022 |
| CHASING THE WHITE RABBIT-A case study of predicting design phases of architects by training a deep neural network with sketch recognition through a digital drawing board Paper … J Bielski, B Mete, V Eisenstadt, C Langenhan, F Petzold, A Dengel, ... International Conferences on Computational Creativity, 2022 | 3 | 2022 |
| Predicting the Optimizability for Workflow Decisions B Mete, M Schulz, M Ruefenacht 2022 IEEE/ACM Third International Workshop on Quantum Computing Software …, 2022 | 2 | 2022 |
| The Morphological Echo of Architects Concept for a Conversational Artificial Intelligence to Support Architects during the Early Design Stages J Bielski, V Eisenstadt, C Langenhan, B Mete Proceedings of 33. Forum Bauinformatik, 2022 | 1 | 2022 |
| Methoden zur KI-basierten Autovervollständigung von frühen Grundrissentwürfen: Methodologie und Integration in ein bestehendes Framework V Eisenstadt, J Bielski, C Langenhan, B Mete, KD Althoff, A Dengel Proceedings of 33. Forum Bauinformatik, 2022 | | 2022 |
| Constrained QAOA using autoencoders B Mete, IL Gutierrez, CB Mendl IMPRS Summer School, 2022 | | 2022 |
| Hamiltonian Simulation using Quantum Autoencoders Burak Mete, Irene Lopez Gutierrez, Christian Mendl | | 2021 |
Christian B. MendlTechnische Universität München, GermanyVerified email at tum.de
