Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Conference Paper
%1 conf/icml/ZhouPXME23
%A Zhou, Linqi
%A Poli, Michael
%A Xu, Winnie
%A Massaroli, Stefano
%A Ermon, Stefano
%B ICML
%D 2023
%E Krause, Andreas
%E Brunskill, Emma
%E Cho, Kyunghyun
%E Engelhardt, Barbara
%E Sabato, Sivan
%E Scarlett, Jonathan
%I PMLR
%K dblp
%P 42625-42643
%T Deep Latent State Space Models for Time-Series Generation.
%U http://dblp.uni-trier.de/db/conf/icml/icml2023.html#ZhouPXME23
%V 202
@inproceedings{conf/icml/ZhouPXME23,
added-at = {2023-08-28T00:00:00.000+0200},
author = {Zhou, Linqi and Poli, Michael and Xu, Winnie and Massaroli, Stefano and Ermon, Stefano},
biburl = {https://www.bibsonomy.org/bibtex/2989e078e7aef48111b6221c81b05ad52/dblp},
booktitle = {ICML},
crossref = {conf/icml/2023},
editor = {Krause, Andreas and Brunskill, Emma and Cho, Kyunghyun and Engelhardt, Barbara and Sabato, Sivan and Scarlett, Jonathan},
ee = {https://proceedings.mlr.press/v202/zhou23i.html},
interhash = {956769f43246d120335b968b0b115ef6},
intrahash = {989e078e7aef48111b6221c81b05ad52},
keywords = {dblp},
pages = {42625-42643},
publisher = {PMLR},
series = {Proceedings of Machine Learning Research},
timestamp = {2024-04-10T01:43:32.000+0200},
title = {Deep Latent State Space Models for Time-Series Generation.},
url = {http://dblp.uni-trier.de/db/conf/icml/icml2023.html#ZhouPXME23},
volume = 202,
year = 2023
}