Collaborative Research: CIF: Small: Generalized Optimal Transport Models: Theory and Compu — NSF Award to Florida State University
Understanding how to compare and interpolate complex data, such as images, shapes, and network structures, is a fundamental challenge across science and engineering, especially in the context of artificial intelligence. This project develops new mathematical and computational tools that extend the theory of optimal tra
| Award title | Collaborative Research: CIF: Small: Generalized Optimal Transport Models: Theory and Compu |
|---|---|
| Award ID | 2526630 |
| Awardee | Florida State University |
| City | TALLAHASSEE |
| State | FL |
| Amount obligated | $253,888 |
| Principal investigator | Thomas Needham |
| Program | Comm & Information Foundations |
| Start date | 10/01/2025 |
| Abstract | Understanding how to compare and interpolate complex data, such as images, shapes, and network structures, is a fundamental challenge across science and engineering, especially in the context of artificial intelligence. This project develops new mathematical and computational tools that extend the theory of optimal transport, a well-established framework for measuring distances between probability distributions. The proposed methods are tailored to settings which more closely reflect specialized |
| Source | NSF Awards |
$799/mo
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