Wasserstein Filtering: A Sample Selection Method for Robust Distribution Learning
DGX agentarXiv:2608.13418v1 Announce Type: cross Abstract: Given a dataset where a portion of the samples are contaminated, our goal is to recover the underlying clean population distribution. To this end, we