Touqeer Ahmad

Geometry-aware neural density field for imbalanced classification via meta-learning-based oversampling

MGOML-NGF, a geometry-aware oversampling technique that integrates neural geometry fields with a meta-learning control mechanism to enable adaptive minority-sample generation, indicates that neural geometry-aware oversampling can improve minority-class representation while reducing artifacts caused by linear interpolat...