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2024-08-08
This thesis develops a Physics-Informed Neural Network framework for predicting 2D temperature fields in metal Additive Manufacturing. The framework incorporates physical knowledge into a deep neural…
2024-08-14
Learning high- or infinite-dimensional functions from limited samples is a key task in Computational Science and Engineering (CSE). For example, in Uncertainty Quantification for CSE, a fundamental…
2024-07-03
As the use of machine learning on privacy-sensitive data grows, it is essential to develop practical techniques for estimating privacy loss. Traditional privacy auditing methods necessitate model…