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Oct 4, 2023 · We introduce OT with Adaptive RegularIsation (OTARI), a new formulation of OT that imposes constraints on the mass going in or/and out of each point.
Oct 5, 2023 · Regularising the primal formulation of optimal transport (OT) with a strictly convex term leads to enhanced numerical complexity and a ...
We introduce OT with Adaptive RegularIsation (OTARI), a new formulation of OT that imposes constraints on the mass going in or/and out of each point.
Oct 4, 2023 · Regularising the primal formulation of optimal transport (OT) with a strictly convex term leads to enhanced numerical complexity and a ...
Regularising the primal formulation of optimal transport (OT) with a strictly convex term leads to enhanced numerical complexity and a denser transport plan ...
Optimal transport (OT) provides a geometrically meaningful framework to compare probability distributions. However, the practical impact of OT is rather limited ...
An adaptive, adversarial methodology is developed for the optimal transport problem between two distributions μ and ν, known only through a finite set of ...
We propose a new optimal transport algorithm that incorporates label information in the optimization: this is achieved by combining an efficient matrix scaling ...
Missing: Adaptive | Show results with:Adaptive
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By using the proposed optimal transport with label regularization, we obtain significant increase in performance compared to the original transport solution.
Missing: Adaptive | Show results with:Adaptive
The adaptation method employs regularized optimal transport (ROT), which compensates for the error of the predicted measurement with the current measurement ...