Test-Time Accuracy-Cost Control in Neural Simulators via Recurrent-Depth
International Conference on Learning Representations (ICLR), 2026
Accuracy-cost trade-offs are a fundamental aspect of scientific computing. Classical numerical methods inherently offer such a trade-off: increasing resolution, order, or precision typically yields more accurate solutions at higher computational cost. We introduce \textbf{Recurrent-Depth Simulator} (\textbf{RecurrSim}) …