Park map of our differentiable, uncertainty-aware surrogate zoo
A park map of surrogate models from five packages, jaxsr, jax-ibart, jax-ldt,
jax-difftree and pycse.sklearn. The models gather in habitats by family: a Symbolic Grove, a Decision
Forest, a Neural Meadow and the Distribution Hot Springs, with a visitor center for tools that work across
the zoo. Paths connect the habitats, and exits lead to our posts on differentiable optimization. Each model
has a tooltip about what it is and how it quantifies uncertainty, and links to example notebooks.
Hover or tap a model for what it is, its uncertainty, and example notebooks. Hover a package to light its models, or an exit to see who takes that path.