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cs.LG2024
Taylor-Sensus Network: Embracing Noise to Enlighten Uncertainty for Scientific Data
Guangxuan Song, Dongmei Fu, Zhongwei Qiu +2
Uncertainty estimation is crucial in scientific data for machine learning. Current uncertainty estimation methods mainly focus on the model's inherent uncertainty, while neglecting…
cs.LG2023
Bridging the Semantic-Numerical Gap: A Numerical Reasoning Method of Cross-modal Knowledge Graph for Material Property Prediction
Guangxuan Song, Dongmei Fu, Zhongwei Qiu +4
Using machine learning (ML) techniques to predict material properties is a crucial research topic. These properties depend on numerical data and semantic factors. Due to the limita…