Showing cs.LGShow all
3 papers · 1 filter
cs.LG2026
In-Context Learning Under Regime Change
Carson Dudley, Yutong Bi, Xiaofeng Liu +1
Non-stationary sequences arise naturally in control, forecasting, and decision-making. The data-generating process shifts at unknown times, and models must detect the change, disca…
cs.LG2025
Learning From Simulators: A Theory of Simulation-Grounded Learning
Carson Dudley, Marisa Eisenberg
Simulation-Grounded Neural Networks (SGNNs) are predictive models trained entirely on synthetic data from mechanistic simulations. They have achieved state-of-the-art performance i…
cs.LG2025
Simulation as Supervision: Mechanistic Pretraining for Scientific Discovery
Carson Dudley, Reiden Magdaleno, Christopher Harding +1
Scientific modeling faces a tradeoff between the interpretability of mechanistic theory and the predictive power of machine learning. While existing hybrid approaches have made pro…