2 papers
cs.LG2025
Contrast transfer functions help quantify neural network out-of-distribution generalization in HRTEM
Luis Rangel DaCosta, Mary C. Scott
Neural networks, while effective for tackling many challenging scientific tasks, are not known to perform well out-of-distribution (OOD), i.e., within domains which differ from the…
nucl-th2023
pynucastro 2.1: an update on the development of a python library for nuclear astrophysics
Alexander Smith Clark, Eric T. Johnson, Zhi Chen +5
pynucastro is a python library that provides visualization and analyze techniques to classify, construct, and evaluate nuclear reaction rates and networks. It provides tools that a…