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- W2981750875 abstract "A data driven procedure is developed to compute the optimal map between two conditional probabilities $rho(x|z_{1},...,z_{L})$ and $mu(y|z_{1},...,z_{L})$ depending on a set of covariates $z_{i}$. The procedure is tested on synthetic data from the ACIC Data Analysis Challenge 2017 and it is applied to non uniform lightness transfer between images. Exactly solvable examples and simulations are performed to highlight the differences with ordinary optimal transport." @default.
- W2981750875 created "2019-11-01" @default.
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- W2981750875 date "2019-10-24" @default.
- W2981750875 modified "2023-10-18" @default.
- W2981750875 title "Data Driven Conditional Optimal Transport" @default.
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- W2981750875 doi "https://doi.org/10.48550/arxiv.1910.11422" @default.
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