bibliografía y ligas
Hyperbolic Graph Convolutional Neural Networks, Ines Chami, Rex Ying, Christopher Ré, Jure Leskovec
Computational Optimal Transport Gabriel Peyré, Marco Cuturi
Código : POT: Python Optimal Transport Rémi Flamary
Generative Adversial Nets, I. Goodfellow et al.
Wasserstein GAN, M. Arjovsky et al.
Improved Training of Wasserstein GANs, I. Gulrajani et al.
Metric Reconstruction Via Optimal Transport Michał Adamaszek, Henry Adams, Florian Frick
Otras fuentes interesantes
Deep Neural Networks Motivated by Partial Differential Equations Lars Ruthotto, and Eldad Haber
A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems Lars Ruthotto , Stanley Osher , Wuchen Li , Levon Nurbekyan , and Samy Wu Fung
Automatic Differentiation, PyTorch and Graph Neural Networks Soumith Chintala