%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 }