Optimal Linear Baseline Models for Scientific Machine Learning
Contributed Talk, Joint Mathematics Meetings, AMS Contributed Paper Session on Computer Science, Information, and Communication, Washington, DC
This contributed talk discussed the development of optimal rank-constrained mappings within linear encoder-decoder architectures for scientific machine learning.