On the Representation and Learning of Monotone Triangular Transport Maps

On the Representation and Learning of Monotone Triangular Transport Maps

Transportation of measure provides a versatile approach for modeling complex probability distributions, with applications in density estimation, Bayesian inference, generative modeling, and beyond. Monotone triangular transport maps—approximations of the Knothe–Rosenblatt (KR) rearrangement—are a ca...

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Bibliographic Details
Main Authors: Baptista, Ricardo, Marzouk, Youssef, Zahm, Olivier
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Format: Article
Language:English
Published: Springer US 2024
Online Access:https://hdl.handle.net/1721.1/157755

Internet

https://hdl.handle.net/1721.1/157755

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