no code implementations • 20 May 2024 • Linian Wang, Anlan Yu, Jianghong Liu, Huibing Zhang, Leye Wang
Observing the characteristics of the day-ahead electricity market, we introduce two invariance assumptions to simplify the modeling of supply and demand curves.
no code implementations • 7 May 2024 • Shusen Jing, Anlan Yu, Shuai Zhang, Songyang Zhang
One unique challenge of federated self-supervised learning (FedSSL) is that the global objective of FedSSL usually does not equal the weighted sum of local SSL objectives.
no code implementations • 28 May 2019 • Yuan Zeng, Zubayer Ibne Ferdous, Weixiang Zhang, Mufan Xu, Anlan Yu, Drew Patel, Xiaochen Guo, Yevgeny Berdichevsky, Zhiyuan Yan
This paper studies whether a bio-plausible model of a in vitro living neural network can be used to perform machine learning tasks and achieve good inference accuracy.