2 papers
cs.LG2026
Class-Conditioned Gaussian Mixture Modeling for Imbalanced Time Series Quantification
Md Shahriar Kabir, Mayesha Maliha R. Mithila, Anne H. H. Ngu +2
Quantification, estimating class prevalences in bags of unlabeled instances is vital in domains where aggregate statistics are more important than individual instance labels, such…
cs.SE2026
Provably Lossless Acceleration of DNN Mutation Testing via Memoization
Ali Ghanbari, Ben Greenman, Sasan Tavakkol +1
Mutation analysis has recently reemerged in the context of deep neural networks (DNNs) as a promising, but notoriously costly, approach for assessing test dataset adequacy. Existin…