Universal Representations for Well-Logging Data via Ensembling of Self-Supervised Models

被引：0
|
作者：
V. A. Zholobov [1 ]
E. D. Romanenkova [1 ]
S. A. Egorov [1 ]
N. A. Gevorgyan [1 ]
A. A. Zaytsev [1 ]
机构：
[1] Skolkovo Institute of Science and Technologies,
来源：
Doklady Mathematics | 2024年 / 110卷 / Suppl 1期
关键词：
self-supervised learning; generative learning; time-series data; ensembling;
D O I：
10.1134/S1064562424602257
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：S126 / S136
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