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Paul Hofman edited this page Nov 4, 2025
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Welcome to the probly wiki!
Epics:
- Epic A: Modernize the docs
- Epic B: Add visualization support for uncertainty representations and measures
- Epic C: Add synthetic experiments to test and benchmark uncertainty representations and quantifications
- Epic D: Likelihood‐Based Models
- Epic E: Improve Bayesian Neural Networks
- Epic F: First‐Order Data Generator
- Epic G: Add temperature scaling
- Epic H: Add SubEnsembles
- Epic I: Improve Out‐of‐Distribution detection evaluation task
- Epic J: Add reliability diagrams
- Epic K: Add evidential classification training routine
Stories: