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Computational optimal transport: With applications to data science
Optimal transport (OT) theory can be informally described using the words of the French
mathematician Gaspard Monge (1746–1818): A worker with a shovel in hand has to move a …
mathematician Gaspard Monge (1746–1818): A worker with a shovel in hand has to move a …
Generative adversarial networks: A literature review
J Cheng, Y Yang, X Tang, N ** in full-waveform inversion: A graph-space transform approach
Optimal transport distance has been recently promoted as a tool to measure the discrepancy
between observed and seismic data within the full-waveform-inversion strategy. This high …
between observed and seismic data within the full-waveform-inversion strategy. This high …
A graph space optimal transport distance as a generalization of Lp distances: application to a seismic imaging inverse problem
Optimal transport distance is an appealing tool to measure the discrepancy between
datasets in the frame of inverse problems, for its ability to perform global comparisons and its …
datasets in the frame of inverse problems, for its ability to perform global comparisons and its …
Multi-marginal optimal transport using partial information with applications in robust localization and sensor fusion
During recent decades, there has been a substantial development in optimal mass transport
theory and methods. In this work, we consider multi-marginal problems wherein only partial …
theory and methods. In this work, we consider multi-marginal problems wherein only partial …