#extrapolation News & Analysis

2 articles tagged with #extrapolation. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · May 17/10

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Machine Collective Intelligence for Explainable Scientific Discovery

Researchers introduce machine collective intelligence, a paradigm combining symbolic reasoning and metaheuristics to autonomously discover governing equations from empirical data. The approach recovers underlying equations across deterministic, stochastic, and uncharacterized systems while reducing extrapolation error by up to six orders of magnitude compared to deep neural networks and condensing millions of parameters into just 5-40 interpretable ones.

AINeutralarXiv – CS AI · May 116/10

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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.