Publications by Mikhael Johanes

Latent distribution: Measuring floor plan typicality with isovist representation learning

The effectiveness of machine learning (ML) models for architectural applications relies on high-quality datasets balanced with advancements in model architecture and computational capacity. Current methods for evaluating architectural floor plan datasets t ...

2025

Floorplan Isovist Dataset

Mikhael Johanes

This dataset was created as part of the PhD project Machine Understanding of Architectural Space: From Analytical to Generative Applications at EPFL Media and Design Lab (LDM). It was derived from the Cubicasa5K dataset. The dataset contains preprocessed d ...

Zenodo2024

Machine Understanding of Architectural Space: From Analytical to Generative Applications

Mikhael Johanes

The unprecedented development of machine learning (ML) and artificial intelligence (AI) has opened new ways of capturing architectural quality, where large neural networks have demonstrated remarkable capabilities compared to traditional rule-based approac ...

EPFL2024

Parametric Sankey: Interactive Mapping of Complex Material Flows for Urban and Architectural Design

Jeffrey Huang, Frederick Chando Kim, Mikhael Johanes

The mapping of flows in a city is essential for understanding urban systems and enabling the transition of the city into a circular economy. However, while tools for the virtual representations of physical volumes and spaces in urban environments have prol ...

Springer2024

On GANs, NLP and Architecture: Combining Human and Machine Intelligences for the Generation and Evaluation of Meaningful Designs

Jeffrey Huang, Frederick Chando Kim, Christina Doumpioti, Mikhael Johanes, Georg-Christoph Holz

2021