Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Karaismailoglu, Ege"'
Autor:
Battiloro, Claudio, Karaismailoğlu, Ege, Tec, Mauricio, Dasoulas, George, Audirac, Michelle, Dominici, Francesca
Graph neural networks excel at modeling pairwise interactions, but they cannot flexibly accommodate higher-order interactions and features. Topological deep learning (TDL) has emerged recently as a promising tool for addressing this issue. TDL enable
Externí odkaz:
http://arxiv.org/abs/2405.15429
Autor:
Prabhat, Kashinath, Karthik, Mudigonda, Mayur, Kim, Sol, Kapp-Schwoerer, Lukas, Graubner, Andre, Karaismailoglu, Ege, von Kleist, Leo, Kurth, Thorsten, Greiner, Annette, Mahesh, Ankur, Yang, Kevin, Lewis, Colby, Chen, Jiayi, Lou, Andrew, Chandran, Sathyavat, Toms, Ben, Chapman, Will, Dagon, Katherine, Shields, Christine A, O'Brien, Travis, Wehner, Michael, Collins, William
Publikováno v:
Geoscientific Model Development, vol 14, iss 1
Geoscientific Model Development, 14 (1)
Geoscientific Model Development, 14 (1)
Identifying, detecting, and localizing extreme weather events is a crucial first step in understanding how they may vary under different climate change scenarios. Pattern recognition tasks such as classification, object detection, and segmentation (i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a9e9060ec4cb8f99e361249eaf15b28
https://escholarship.org/uc/item/2321d436
https://escholarship.org/uc/item/2321d436
Autor:
Prabhat, Kashinath, Karthik, Mudigonda, Mayur, Sol Kim, Kapp-Schwoerer, Lukas, Graubner, Andre, Karaismailoglu, Ege, von Kleist, Leo, Kurth, Thorsten, Greiner, Annette, Kevin Yang, Lewis, Colby, Jiayi Chen, Lou, Andrew, Chandran, Sathyavat, Toms, Ben, Chapman, Will, Dagon, Katherine, Shields, Christine A., O'Brien, Travis
Publikováno v:
Geoscientific Model Development Discussions; 4/9/2020, p1-28, 28p
