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This Input Convex Neural Network (ICNN) is part of a machine learning optimization project on normalizing flows that is being undertaken through the 2022 Polymath Jr. REU under the supervision of Dr. Giulio Trigila and Dr. Ricardo Baptista. The main collaborators on the ICNN subproject are Kason Ancelin, Noam Gal and Josef Sajonz.

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Input-Convex-Neural-Network

This Input Convex Neural Network (ICNN) script is a first stage draft that was developed further in a wider machine learning optimization project on normalizing flows in the optimal transport problem under the supervision of Dr. Giulio Trigila and Dr. Ricardo Baptista.

The main collaborators on the ICNN are Kason Ancelin, Noam Gal and Josef Sajonz.

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This Input Convex Neural Network (ICNN) is part of a machine learning optimization project on normalizing flows that is being undertaken through the 2022 Polymath Jr. REU under the supervision of Dr. Giulio Trigila and Dr. Ricardo Baptista. The main collaborators on the ICNN subproject are Kason Ancelin, Noam Gal and Josef Sajonz.

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