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Neural Optimal Transport Meets Multivariate Conformal Prediction
ICLR 2026
Figure: Examples of multidimensional quantiles. Green dots represent the median prediction. Red dots are ground truth
movement of a person. Red density estimate is density of possible movements estimated with the
trained quantile function.
The notion of a quantile plays a central role in the one-dimensional setting. However, its extension to higher dimensions is nontrivial. Recent approaches propose constructing multivariate quantiles within an optimal transport framework. In this project, we explore a numerical approach to realizing such quantile functions using convex neural networks.
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