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Found 5 papers, 2 papers with code
Improving Attribution Methods by Learning Submodular Functions
This work explores the novel idea of learning a submodular scoring function to improve the specificity/selectivity of existing feature attribution methods.
MMD-Regularized Unbalanced Optimal Transport
Further, for real-world applications involving non-discrete measures, we present an estimator for the transport plan that is supported only on the given ($m$) samples.
Statistical Optimal Transport posed as Learning Kernel Embedding
This work takes the novel approach of posing statistical OT as that of learning the transport plan's kernel mean embedding from sample based estimates of marginal embeddings.
Entity Resolution and Location Disambiguation in the Ancient Hindu Temples Domain using Web Data
We present a system for resolving entities and disambiguating locations based on publicly available web data in the domain of ancient Hindu Temples.
