AINeutralarXiv – CS AI · 9h ago6/10
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Excluding the Target Domain Improves Extrapolation: Deconfounded Hierarchical Physics Constraints
Researchers propose Deconfounded Hierarchical Gate (DHG), a novel approach to improve physics-constrained deep generative models' ability to extrapolate beyond training conditions. The method counterintuitively finds that excluding target-domain data during pretraining improves extrapolation performance by 39%, achieving 46% better results on lithium-ion battery temperature prediction benchmarks.