Latent State Inference in a Spatiotemporal Generative Model

Matthias Karlbauer, Tobias Menge, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz. Latent State Inference in a Spatiotemporal Generative Model. In Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter, editors, Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part IV. Volume 12894 of Lecture Notes in Computer Science, pages 384-395, Springer, 2021. [doi]

@inproceedings{KarlbauerMOLSWB21,
  title = {Latent State Inference in a Spatiotemporal Generative Model},
  author = {Matthias Karlbauer and Tobias Menge and Sebastian Otte and Hendrik P. A. Lensch and Thomas Scholten and Volker Wulfmeyer and Martin V. Butz},
  year = {2021},
  doi = {10.1007/978-3-030-86380-7_31},
  url = {https://doi.org/10.1007/978-3-030-86380-7_31},
  researchr = {https://researchr.org/publication/KarlbauerMOLSWB21},
  cites = {0},
  citedby = {0},
  pages = {384-395},
  booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part IV},
  editor = {Igor Farkas and Paolo Masulli and Sebastian Otte and Stefan Wermter},
  volume = {12894},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-86380-7},
}