Summary of Physics-informed Machine Learning For Battery Pack Thermal Management, by Zheng Liu et al.
Physics-informed Machine Learning for Battery Pack Thermal Managementby Zheng Liu, Yuan Jiang, Yumeng Li, Pingfeng…
Physics-informed Machine Learning for Battery Pack Thermal Managementby Zheng Liu, Yuan Jiang, Yumeng Li, Pingfeng…
What makes a good BIM design: quantitative linking between design behavior and qualityby Xiang-Rui Ni,…
Handling missing values in clinical machine learning: Insights from an expert studyby Lena Stempfle, Arthur…
The Moral Foundations Weibo Corpusby Renjie Cao, Miaoyan Hu, Jiahan Wei, Baha IhnainiFirst submitted to…
MCCE: Missingness-aware Causal Concept Explainerby Jifan Gao, Guanhua ChenFirst submitted to arxiv on: 14 Nov…
Physics-informed neural networks (PINNs) for numerical model error approximation and superresolutionby Bozhou Zhuang, Sashank Rana,…
SureMap: Simultaneous Mean Estimation for Single-Task and Multi-Task Disaggregated Evaluationby Mikhail Khodak, Lester Mackey, Alexandra…
Modeling AdaGrad, RMSProp, and Adam with Integro-Differential Equationsby Carlos HerediaFirst submitted to arxiv on: 14…
Stability and Generalization for Distributed SGDAby Miaoxi Zhu, Yan Sun, Li Shen, Bo Du, Dacheng…
Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problemsby Benjamin Kolicic, Alberto Caron,…