2 papers
cs.AI2025
Synthetic Homes: A Multimodal Generative AI Pipeline for Residential Building Data Generation under Data Scarcity
Jackson Eshbaugh, Chetan Tiwari, Jorge Silveyra
Computational models have emerged as powerful tools for multi-scale energy modeling research at the building and urban scale, supporting data-driven analysis across building and ur…
cs.LG2025
"Faithful to What?" On the Limits of Fidelity-Based Explanations
Jackson Eshbaugh
In explainable AI, surrogate models are commonly evaluated by their fidelity to a neural network's predictions. Fidelity, however, measures alignment to a learned model rather than…