@Article{fortuin_et_al:DagRep.13.2.47,
  author =	{Fortuin, Vincent and Li, Yingzhen and Murphy, Kevin and Mandt, Stephan and Manduchi, Laura},
  title =	{{Challenges and Perspectives in Deep Generative Modeling (Dagstuhl Seminar 23072)}},
  pages =	{47--70},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2023},
  volume =	{13},
  number =	{2},
  editor =	{Fortuin, Vincent and Li, Yingzhen and Murphy, Kevin and Mandt, Stephan and Manduchi, Laura},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.13.2.47},
  URN =		{urn:nbn:de:0030-drops-191817},
  doi =		{10.4230/DagRep.13.2.47},
  annote =	{Keywords: deep generative models, representation learning, generative modeling, neural data compression, out-of-distribution detection}
}