2 papers
cs.LG2026
Product units in gated recurrent units improve nuclear-mass prediction
Ziyuan Li, Paulo S. A. Freitas, John W. Clark +1
The prediction of masses of atomic nuclei using machine learning can complement theoretical models and advance the exploration of poorly known domains of the nuclear chart. We prop…
cs.LG2026
Modeling Nonlinear Feature Interactions with Product-Unit Residual Networks
Ziyuan Li, Uwe Jaekel, Babette Dellen
Understanding nonlinear feature interactions is crucial in science and engineering, yet standard multilayer perceptrons (MLPs) often capture such interactions only implicitly, lead…