Beats tuned baseline
2026
One-Bang Gradient-Noise Preparation
Use a bounded stochasticity control during an initial preparation window to shape the gradient or parameter-update distribution before ordinary training. The control is restricted to its minimum or maximum value, with at most one switch, because the reduced moment dynamics are affine in the control; this gives a falsifiable alternative to smooth noise or learning-rate annealing.
Paper: Optimal preparation and reachable-state constraints in the Mpemba effect
arXiv:2607.12955