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cs.LG2022
DiPietro-Hazari Kappa: A Novel Metric for Assessing Labeling Quality via Annotation
Daniel M. DiPietro, Vivek Hazari
Data is a key component of modern machine learning, but statistics for assessing data label quality remain sparse in literature. Here, we introduce DiPietro-Hazari Kappa, a novel s…
cs.LG2020
Sparse Symplectically Integrated Neural Networks
Daniel M. DiPietro, Shiying Xiong, Bo Zhu
We introduce Sparse Symplectically Integrated Neural Networks (SSINNs), a novel model for learning Hamiltonian dynamical systems from data. SSINNs combine fourth-order symplectic i…