A method that produces minimal edits to source samples via diffusion autoencoder and MMD optimization, raising p-values to show statistical closeness to a target group in deep two-sample testing.
Explaining the black-box smoothly—A counterfactual approach
2 Pith papers cite this work, alongside 79 external citations. Polarity classification is still indexing.
2
Pith papers citing it
79
external citations · external index
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Formulates multi-size parcel locker admission as an MDP, proves sufficient conditions for optimality of the always-accept policy, and gives algorithms for optimal locker assortment.
citing papers explorer
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Counterfactual Explanations for Deep Two-Sample Testing
A method that produces minimal edits to source samples via diffusion autoencoder and MMD optimization, raising p-values to show statistical closeness to a target group in deep two-sample testing.
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Admission and Assortment Optimization for Multi-size Automated Parcel Lockers
Formulates multi-size parcel locker admission as an MDP, proves sufficient conditions for optimality of the always-accept policy, and gives algorithms for optimal locker assortment.