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/iclr/ColeL24
%A Cole, Frank
%A Lu, Yulong
%B ICLR
%D 2024
%I OpenReview.net
%K dblp
%T Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian distributions.
%U http://dblp.uni-trier.de/db/conf/iclr/iclr2024.html#ColeL24
@inproceedings{conf/iclr/ColeL24,
added-at = {2024-08-07T00:00:00.000+0200},
author = {Cole, Frank and Lu, Yulong},
biburl = {https://www.bibsonomy.org/bibtex/2249e3b57a2644703bf1c3a230cefbc1b/dblp},
booktitle = {ICLR},
crossref = {conf/iclr/2024},
ee = {https://openreview.net/forum?id=wG12xUSqrI},
interhash = {624481dab2b2f194a03df422d15cce9b},
intrahash = {249e3b57a2644703bf1c3a230cefbc1b},
keywords = {dblp},
publisher = {OpenReview.net},
timestamp = {2024-08-12T07:40:38.000+0200},
title = {Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian distributions.},
url = {http://dblp.uni-trier.de/db/conf/iclr/iclr2024.html#ColeL24},
year = 2024
}