Seminar: Yeonjong Shin, Korea Advanced Institute of Science and Technology, Towards Trustworthy Scientific Machine Learning: Theory, Algorithms, and Applications
SAS 4201Machine learning (ML) has achieved unprecedented empirical success in diverse applications. It now has been applied to solve scientific problems, which has become an emerging field, Scientific Machine Learning (SciML). Many ML techniques, however, are very complex and sophisticated, commonly requiring many trial-and-error and tricks. These result in a lack of robustness and interpretability, which…