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pro vyhledávání: '"Magueresse, Alexandre"'
Autor:
Magueresse, Alexandre, Badia, Santiago
Physics-informed neural networks (PINNs) and their variants have recently emerged as alternatives to traditional partial differential equation (PDE) solvers, but little literature has focused on devising accurate numerical integration methods for neu
Externí odkaz:
http://arxiv.org/abs/2303.11617
Autor:
Magueresse, Alexandre, Badia, Santiago
Publikováno v:
In Computers and Mathematics with Applications 15 May 2024 162:1-21
A current problem in NLP is massaging and processing low-resource languages which lack useful training attributes such as supervised data, number of native speakers or experts, etc. This review paper concisely summarizes previous groundbreaking achie
Externí odkaz:
http://arxiv.org/abs/2006.07264