Engineering-Driven Learning Approaches for Bio-Manufacturing and Personalized Medicine
15 Sep 2021 | Contributor(s):: Chen, Jialei
Advisors: Chuck Zhang, Roshan Joseph, Arman Sabbaghi, Jianjun Shi, Ben Wang, Jeff WuHealthcare problems have tremendous impact on human life. The past two decades have witnessed various biomedical research advances and clinical therapeutic effectiveness, including minimally invasive surgery,...
Interval Deep Learning for Uncertainty Quantification in Engineering Problems
10 Jun 2021 | Contributor(s):: Betancourt, David
Advisors: Rafi L Muhanna, B. Aditya Prakash, Chao Zhang, Abdul-Hamid Zureick, Steffen Freitag, Vladik KreinovichDeep neural networks are becoming more common in important real-world safety-critical applications where reliability in the predictions is paramount. Despite their exceptional...
On Using Inductive Biases for Designing Deep Learning Architectures
10 Jun 2021 | Contributor(s):: Shrivastava, Harsh
Advisors: Srinivas Aluru, Le Song, Xiuwei Zhang, B. Aditya Prakash, Ashok GoelRecent advancements in field of Artificial Intelligence, especially in the field of Deep Learning (DL), have paved way for new and improved solutions to complex problems occurring in almost all domains. Often we have...