1 citations · 1 across the 3 of their papers we have counts for
3 papers
Robust Physics-Informed Neural Network Approach for Estimating Heterogeneous Elastic Properties from Noisy Displacement Data
Tatthapong Srikitrungruang, Matthew Lemon, Sina Aghaee Dabaghan Fard +2
Accurately estimating spatially heterogeneous elasticity parameters, particularly Young's modulus and Poisson's ratio, from noisy displacement measurements remains significantly ch…
Bilateral Differentially Private Vertical Federated Boosted Decision Trees
Bokang Zhang, Zhikun Zhang, Haodong Jiang +5
Federated learning is a distributed machine learning paradigm that enables collaborative training across multiple parties while ensuring data privacy. Gradient Boosting Decision Tr…
PuYun: Medium-Range Global Weather Forecasting Using Large Kernel Attention Convolutional Networks
Shengchen Zhu, Yiming Chen, Peiying Yu +7
Accurate weather forecasting is essential for understanding and mitigating weather-related impacts. In this paper, we present PuYun, an autoregressive cascade model that leverages…