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Study analyzes continuous-time dropout as a random batch method for controlled differential equations

This paper examines continuous-time dropout within controlled differential equations by approximating additive vector fields with random batches. Over each interval of length h, a random subset of components is activated and rescaled according to its inclusion probability. The work covers convergence, design, and training aspects of the approach.

research/dropout/differential-equations/training