GMHF aligns generated data distributions with human beliefs about target physics using cNODE and RL to reduce generalization risk, validated on Duffing oscillator and probabilistic models.
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences , volume=
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Human-Machine Collaboration on Generative Meta-Learning: Model and Algorithm
GMHF aligns generated data distributions with human beliefs about target physics using cNODE and RL to reduce generalization risk, validated on Duffing oscillator and probabilistic models.