Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Sheo Yon Jhin"'
Autor:
Sheo Yon Jhin, Heejoo Shin, Seoyoung Hong, Minju Jo, Solhee Park, Noseong Park, Seungbeom Lee, Hwiyoung Maeng, Seungmin Jeon
Publikováno v:
2021 IEEE International Conference on Data Mining (ICDM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afe51cd21484fa6386c703bce5c92237
https://doi.org/10.1109/icdm51629.2021.00035
https://doi.org/10.1109/icdm51629.2021.00035
Publikováno v:
KDD
Neural ordinary differential equations (NODEs) presented a new paradigm to construct (continuous-time) neural networks. While showing several good characteristics in terms of the number of parameters and the flexibility in constructing neural network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5449767d1fd119ac2605fee4eb893149
https://doi.org/10.1145/3447548.3467419
https://doi.org/10.1145/3447548.3467419
We present a method for learning dynamics of complex physical processes described by time-dependent nonlinear partial differential equations (PDEs). Our particular interest lies in extrapolating solutions in time beyond the range of temporal domain u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3574e6a09d6cce5ba49c6a38b206b438
