This paper presents two neural network approaches that approximate the solutions of static and dynamic conditional optimal transport problems, respectively.
This paper is available on arxiv under CC 4.0 license. Authors: Zheyu Oliver Wang, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA and [email protected]; Ricardo Baptista, Computing + Mathematical Sciences, California Institute of Technology, Pasadena, CA and [email protected]; Youssef Marzouk, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA and ymarz@mit.
edu; Lars Ruthotto, Department of Mathematics, Emory University, Atlanta, GA and [email protected]; Deepanshu Verma, Department of Mathematics, Emory University, Atlanta, GA and [email protected]. This paper is available on arxiv under CC 4.0 license. Authors: Authors: Zheyu Oliver Wang, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA and olivrw@mit.
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