Yao-Jen Chang

Many injuries to young children come from relations between objects, such as a chair beside a sofa under a window. AuroraNet turns a room into an age-scaled climbing graph, sums severity-weighted expected harm along sequences a child can climb, and learns 15 edge parameters from scene-level labels. On simulated rooms it reaches a 0.986 rank correlation with gradient boosting, 0.878 versus 0.798 within strata; all evidence is simulation-based.

Many injuries to young children come from relations between objects, such as a chair beside a sofa under a window. AuroraNet turns a room into an age-scaled climbing graph, sums severity-weighted expected harm along sequences a child can climb, and learns 15 edge parameters from scene-level labels. On simulated rooms it reaches a 0.986 rank correlation with gradient boosting, 0.878 versus 0.798 within strata; all evidence is simulation-based.