# Joint Wasserstein GAN contribution

- Institution: CERN
- Department: Machine Learning
- Taught by: Jonas Glombitza, Thorben Quast, David Josef Schmidt
- Year: 2018
- Language: English
- Subjects: Computer science
- Source: [CERN](https://videos.cern.ch/record/3009938)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

This is a merger of three individual contributions: - https://indico.cern.ch/event/668017/contributions/2947026/ - https://indico.cern.ch/event/668017/contributions/2947027/ - https://indico.cern.ch/event/668017/contributions/2947028/.

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## Lectures

1. [Joint Wasserstein GAN contribution](https://invisiblenetwork.ai/learn/cern/3009938/4f52671128ee), 1 h 3 min (CERN's player)