%0 Conference Paper %1 yumin2020climate %A Liu, Yumin %A Ganguly, Auroop R. %A Dy, Jennifer %B Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining %C New York, NY, USA %D 2020 %I ACM %K climate deep downscaling, networks neural resolution, super %P 3145–3153 %R 10.1145/3394486.3403366 %T Climate Downscaling Using YNet: A Deep Convolutional Network with Skip Connections and Fusion %U https://doi.org/10.1145/3394486.3403366 %@ 9781450379984

@inproceedings{yumin2020climate, added-at = {2022-01-19T10:43:42.000+0100}, address = {New York, NY, USA}, author = {Liu, Yumin and Ganguly, Auroop R. and Dy, Jennifer}, biburl = {https://www.bibsonomy.org/bibtex/29397d0c18c2bab8bd4216b5060582da3/msteininger}, booktitle = {Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining}, doi = {10.1145/3394486.3403366}, interhash = {49404966858058722977428e82c0388b}, intrahash = {9397d0c18c2bab8bd4216b5060582da3}, isbn = {9781450379984}, keywords = {climate deep downscaling, networks neural resolution, super}, location = {Virtual Event, CA, USA}, numpages = {9}, pages = {3145–3153}, publisher = {ACM}, series = {KDD '20}, timestamp = {2022-01-19T10:43:42.000+0100}, title = {Climate Downscaling Using YNet: A Deep Convolutional Network with Skip Connections and Fusion}, url = {https://doi.org/10.1145/3394486.3403366}, year = 2020 }