DDOT, a dual-decoder transformer with derivative prediction, reports improved symbolic ODE reconstruction on ODEBench and introduces a divergence-based metric, DIV-diff, for evaluating ODE hypotheses.
SciPost Physics16(1), 037 (2024)
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DDOT: A Derivative-directed Dual-decoder Ordinary Differential Equation Transformer for Dynamic System Modeling
DDOT, a dual-decoder transformer with derivative prediction, reports improved symbolic ODE reconstruction on ODEBench and introduces a divergence-based metric, DIV-diff, for evaluating ODE hypotheses.