182 citations · 1.1k across the 107 of their papers we have counts for
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cs.LG2024★ 1 cited
PearSAN: A Machine Learning Method for Inverse Design using Pearson Correlated Surrogate Annealing
Michael Bezick, Blake A. Wilson, Vaishnavi Iyer +6
PearSAN is a machine learning-assisted optimization algorithm applicable to inverse design problems with large design spaces, where traditional optimizers struggle. The algorithm l…
cs.LG2024★ 1 cited
Multi-Omic and Quantum Machine Learning Integration for Lung Subtypes Classification
Mandeep Kaur Saggi, Amandeep Singh Bhatia, Mensah Isaiah +2
Quantum Machine Learning (QML) is a red-hot field that brings novel discoveries and exciting opportunities to resolve, speed up, or refine the analysis of a wide range of computati…