Causally interpretable multi-step time series forecasting: A new machine learning approach using simulated differential equations. - William Schoenberg (CoRR, 2019)

LoopX: Visualizing and understanding the origins of dynamic model behavior. - William Schoenberg (CoRR, 2019)

Seamlessly Integrating Loops That Matter into Model Development and Analysis. - William Schoenberg; Robert Eberlein (CoRR, 2020)

Automated Diagram Generation to Build Understanding and Usability. - William Schoenberg (CoRR, 2020)

Finding the Loops that Matter. - Robert Eberlein; William Schoenberg (CoRR, 2020)

How Well Can AI Build SD Models? - William Schoenberg; Davidson Girard; Saras Chung; Ellen O'Neill; Janet Velasquez; Sara Metcalf (CoRR, 2025)