Noam J. Gal

Noam J. Gal

Ph.D. candidate in geoinformatics at the Hebrew University of Jerusalem. I work on GeoAI, urban simulation, and data-driven planning tools.

A generative flow model for conditional sampling via optimal transport

Published in arXiv preprint, 2023

Presented as a poster at the NeurIPS 2023 Optimal Transport and Machine Learning Workshop, New Orleans, LA, December 2023.

Recommended citation: Alfonso, J., Baptista, R., Bhakta, A., Gal, N. J., Hou, A., Lyubimova, V., Pocklington, D., Sajonz, J., Trigila, G., & Tsai, R. (2023). A generative flow model for conditional sampling via optimal transport.
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