Huang, Zhiyi;Li, Xiao
Condition-based Maintenance for a Multi-State System Subject to Imperfect Inspection Based on Deep Reinforcement Learning
Proceedings of TUM GNI Symposium on AI for the Built World
2026

Kuo, Shih-Pu;D'Acunto, Pierluigi;Smith, Ian F. C.
A Graph-Based Framework for Explainable Structural Decision-Making in Early-Stage Design
Proceedings of TUM GNI Symposium on AI for the Built World
2026

Kim, Yonghan;Jeon, Kahyun;Borrmann, André;Lee, Ghang
Protectable Architectural Expressions-aware Abstraction Filtration Comparison Framework Using Multimodal Large Language Models
Proceedings of TUM GNI Symposium on AI for the Built World
2026

Güneş, Mustafa Cem;Kuo, Shih-Pu;Bleker, Lazlo;D'Acunto, Pierluigi
Graph Neural Network Surrogate Models for Real-Time Conceptual Structural Design
Proceedings of TUM GNI Symposium on AI for the Built World
2026

Seddik, Moustafa;Weber, Simon Oskar;Leistner, Philip
A Deep-Learning Based Incidence Operator for Adjustable and Solver-Agnostic Modelling of Adaptive Façades
Proceedings of TUM GNI Symposium on AI for the Built World
2026

Rossi, Gabriella;Marsillo, Laura;Akbar, Zuardin;Tamke, Martin;Wortmann, Thomas;Ramsgaard Thomsen, Mette
Towards an integrated Semantic-based Resource-driven modelling framework for design to fabrication of bio-based and waste-source materials in AEC using knowledge graph
Proceedings of TUM GNI Symposium on AI for the Built World
2026

Black, Liam;Gibbs, Ewan;Fuchs, Stefan;Amor, Robert
Computerised Interpretation of Figures in Codes and Standards
Proceedings of TUM GNI Symposium on AI for the Built World
2026

Cotoarbă, Dafydd;Smith, Ian FC;Straub, Daniel
Active Learning-Enhanced Surrogate Models for Bayesian Updating in Probabilistic Digital Twins
Proceedings of TUM GNI Symposium on AI for the Built World
2026

Hoegner, Ludwig; Dalvi, Verdant Girish; Dauberschmidt, Christoph; Dürr, André; Fröhlich, Daniel; Krefft, Lorenz; Müller, Tobias; Schuler, Christian; Unewisse, Leon; Wenzel, Stefan; Preidel, Cornelius
AI-Supported Multimodal Data Fusion for Time-Resolved Digital Twins in Structural Assessment
Proceedings of TUM GNI Symposium on AI for the Built World
2026

Forth, Kasimir;De Wolf, Catherine
Predicting Connection Types Using Graph Neural Networks
Proceedings of TUM GNI Symposium on AI for the Built World
2026