This paper presents a framework for computing the Gromov-Wasserstein pro...
In this paper we propose an adaptive approach for clustering and
visuali...
Multi-marginal optimal transport (MOT) is a generalization of optimal
tr...
Automatically identifying harmful content in video is an important task ...
We consider incremental inference problems from aggregate data for colle...
We study multi-marginal optimal transport problems from a probabilistic
...
We consider inference problems over probabilistic graphical models with
...
Data stream processing frameworks provide reliable and efficient mechani...
The use of distances based on optimal transportation has recently shown
...
Top-K queries are an established heuristic in information retrieval. Thi...
In this work, we propose a novel method for quantifying distances betwee...
We propose using the Wasserstein loss for training in inverse problems. ...