Bayesian Tensor Completion and Gaussian Processes: Functional Universality and Rank Learning
Published:Dec 25, 2025 03:15
•1 min read
•ArXiv
Analysis
This ArXiv article explores a combination of Bayesian Tensor Completion and Multioutput Gaussian Processes. The paper likely investigates improved methods for handling missing data in complex, multi-dimensional datasets, particularly focusing on functional relationships.
Key Takeaways
Reference
“The context provides the title and source, indicating this is a research paper available on ArXiv.”