https://www.dagstuhl.de/23072
12. – 17. Februar 2023, Dagstuhl-Seminar 23072
Challenges and Perspectives in Deep Generative Modeling
Organisatoren
Vincent Fortuin (ETH Zürich, CH)
Yingzhen Li (Imperial College London, GB)
Stephan Mandt (University of California – Irvine, US)
Kevin Murphy (Google – Mountain View, US)
Auskunft zu diesem Dagstuhl-Seminar erteilen
Susanne Bach-Bernhard zu administrativen Fragen
Michael Gerke zu wissenschaftlichen Fragen
Classification
- Artificial Intelligence
- Computer Vision And Pattern Recognition
- Machine Learning
Keywords
- Deep generative models
- Machine learning for science
- Neural compression
- Out-of-distribution detection