2 papers
cs.LG2026
From Graphs to Feeders: Constraint-Guided Diffusion for Rule-Compliant Feeder Generation
Yu Qin, Andrew Glaws, Aadil Latif +1
Generative modeling approaches often focus on recovering broad statistical characteristics from the training data. In the context of graph generation, this may refer to degree dist…
cs.CE2025
Conditional Distribution Estimation of Building Characteristics with Diffusion Models for Urban Energy Modeling
Saumya Sinha, Alexandre Cortiella, Rawad El Kontar +3
Understanding current energy consumption behavior in communities is critical for informing future energy use decisions and enabling efficient energy management. Urban energy models…