Todays paper: Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility
and Double Descent from the Decision Boundary Perspective (https://arxiv.org/pdf/2203.08124.pdf)

Summary:
A discussion of reproducibility and double descent through visualizations of decision boundaries.

Highlights of the discussion:

• Relationship between model performance and reproducibility
• Which models are robust and reproducible
• How they calculate the various scores