%0 Conference Paper %1 conf/iclr/OkumotoS22 %A Okumoto, Sho %A Suzuki, Taiji %B ICLR %D 2022 %I OpenReview.net %K dblp %T Learnability of convolutional neural networks for infinite dimensional input via mixed and anisotropic smoothness. %U http://dblp.uni-trier.de/db/conf/iclr/iclr2022.html#OkumotoS22

@inproceedings{conf/iclr/OkumotoS22, added-at = {2022-08-20T00:00:00.000+0200}, author = {Okumoto, Sho and Suzuki, Taiji}, biburl = {https://www.bibsonomy.org/bibtex/249b19b35fdc1e4bb59d37130f60debf5/dblp}, booktitle = {ICLR}, crossref = {conf/iclr/2022}, ee = {https://openreview.net/forum?id=dgxFTxuJ50e}, interhash = {34cb9306f8091a92b9df22adcd5db4f4}, intrahash = {49b19b35fdc1e4bb59d37130f60debf5}, keywords = {dblp}, publisher = {OpenReview.net}, timestamp = {2024-04-10T01:22:32.000+0200}, title = {Learnability of convolutional neural networks for infinite dimensional input via mixed and anisotropic smoothness.}, url = {http://dblp.uni-trier.de/db/conf/iclr/iclr2022.html#OkumotoS22}, year = 2022 }