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%0 Journal Article
%1 journals/natmi/PinedaMBNMVM23
%A Pineda, Jesús
%A Midtvedt, Benjamin
%A Bachimanchi, Harshith
%A Noé, Sergio
%A Midtvedt, Daniel
%A Volpe, Giovanni
%A Manzo, Carlo
%D 2023
%J Nat. Mac. Intell.
%K dblp
%N 1
%P 71-82
%T Geometric deep learning reveals the spatiotemporal features of microscopic motion.
%U http://dblp.uni-trier.de/db/journals/natmi/natmi5.html#PinedaMBNMVM23
%V 5
@article{journals/natmi/PinedaMBNMVM23,
added-at = {2023-05-17T00:00:00.000+0200},
author = {Pineda, Jesús and Midtvedt, Benjamin and Bachimanchi, Harshith and Noé, Sergio and Midtvedt, Daniel and Volpe, Giovanni and Manzo, Carlo},
biburl = {https://www.bibsonomy.org/bibtex/271e33bba41682597b3f5c5cedf411f9d/dblp},
ee = {https://doi.org/10.1038/s42256-022-00595-0},
interhash = {85bb4dd9d713e75f140219a3ad67ceb5},
intrahash = {71e33bba41682597b3f5c5cedf411f9d},
journal = {Nat. Mac. Intell.},
keywords = {dblp},
month = {January},
number = 1,
pages = {71-82},
timestamp = {2024-04-08T20:50:39.000+0200},
title = {Geometric deep learning reveals the spatiotemporal features of microscopic motion.},
url = {http://dblp.uni-trier.de/db/journals/natmi/natmi5.html#PinedaMBNMVM23},
volume = 5,
year = 2023
}