%0 Generic %1 stubbemann2022intrinsic %A Stubbemann, Maximilian %A Hanika, Tom %A Schneider, Friedrich Martin %D 2022 %K %T Intrinsic Dimension for Large-Scale Geometric Learning %U https://arxiv.org/abs/2210.05301

@misc{stubbemann2022intrinsic, added-at = {2023-12-14T14:13:12.000+0100}, archiveprefix = {arXiv}, author = {Stubbemann, Maximilian and Hanika, Tom and Schneider, Friedrich Martin}, biburl = {https://www.bibsonomy.org/bibtex/2d1cdb269c51959c9595ced057c431d25/admin}, eprint = {2210.05301}, interhash = {ddb49d07cf62c8b138a8a223d4753081}, intrahash = {d1cdb269c51959c9595ced057c431d25}, keywords = {}, primaryclass = {cs.LG}, timestamp = {2023-12-14T14:13:12.000+0100}, title = {Intrinsic Dimension for Large-Scale Geometric Learning}, url = {https://arxiv.org/abs/2210.05301}, year = 2022 }