An introduction to deep generative modeling

Author:

Ruthotto Lars1,Haber Eldad2

Affiliation:

1. Department of Mathematics Emory University Atlanta Georgia USA

2. Department of Earth and Ocean Sciences University of British Columbia Vancouver British Columbia Canada

Publisher

Wiley

Subject

Applied Mathematics,General Physics and Astronomy,General Materials Science

Reference51 articles.

1. L.Ardizzoneet al. Analyzing inverse problems with invertible neural networks Proceedings of the International Conference on Learning Representations Vancouver Canada 2018.

2. M.ArjovskyandL.Bottou Towards principled methods for training generative adversarial networks 2017 arXiv:1701.04862.

3. M.Arjovsky andS.Chintala Bottou Wasserstein GAN 2017 arXiv:1701.07875.

4. A. S.Ashukha Real NVP PyTorch December 30 2020 available athttps://github.com/senya‐ashukha/real‐nvp‐pytorch.

5. A computational fluid mechanics solution to the Monge-Kantorovich mass transfer problem

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