by instadatahelp | Sep 2, 2023 | AI Blogs
Recently, there has been a growing interest in Cross-network node classification (CNNC) which involves classifying nodes in a target network with limited labels by leveraging knowledge from a source network with abundant labels. In order to tackle this problem, we...
by instadatahelp | Sep 2, 2023 | AI Blogs
Naive Regression vs. Factor Models: Adjusting for Multiple Cause Confounding Authors: Justin Grimmer, Dean Knox, Brandon Stewart; 24(182):1−70, 2023. Abstract Factor models are commonly used in various fields, such as genetics, networks, medicine, and politics, to...
by instadatahelp | Sep 2, 2023 | AI Blogs
We introduce a novel approach for computing both ground and excited states of quantum systems. Our method utilizes a nonlinear variational framework and involves approximating wavefunctions using a linear combination of basis functions. These basis functions are...
by instadatahelp | Sep 2, 2023 | AI Blogs
Dimensionless Machine Learning: Enforcing Exact Units Equivariance Soledad Villar, Weichi Yao, David W. Hogg, Ben Blum-Smith, Bianca Dumitrascu; 24(109):1−32, 2023. Abstract Units equivariance (or units covariance) arises as an exact symmetry when the relationships...
by instadatahelp | Sep 2, 2023 | AI Blogs
arXivLabs provides a platform for collaborators to create and share new features on the arXiv website. Both individuals and organizations that collaborate with arXivLabs share our core values of openness, community, excellence, and user data privacy. We are dedicated...