Optimal Linear Baseline Models for Scientific Machine Learning
Date: Jan 2026
Contributed Talk at 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.