brainstorming
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or planning anything new, in software or out of it (a talk, a business, a renovation).
Skills entdecken
Entwicklung · SKILL.md
quadratic_velocity_objective
quadratic_velocity_objectiveCompute and test the simulation-free quadratic velocity objective used by stochastic interpolant flows.
Independent GitHub snapshot · Automated classification · Original documentation governs
Skill-Dokumentation
GitHubname: quadratic_velocity_objective description: Compute and test the simulation-free quadratic velocity objective used by stochastic interpolant flows.
Quadratic Velocity Objective
Use this skill when a recovery experiment must implement the stochastic-interpolant paper mechanism without reading the original repository. Do not use it to claim full CIFAR, ImageNet, or tabular reproduction unless the corresponding real datasets and training stack actually ran.
Inputs
- Numeric base and target samples, time samples, and velocity parameters.
- A declared full or reduced recovery target from
module_plan.json.
Outputs
- Deterministic numeric arrays, losses, gradients, or diagnostics depending on the module.
- JSON-compatible evidence for recovery logs.
Workflow
- Build or consume stochastic-interpolant samples from endpoint pairs.
- Keep objective computation separate from ODE integration.
- Emit explicit checks that can be validated by
recover-paper.
Validation
Run python -m pytest tests or validate the tree with validate_skill_tree.py --run-tests.
Limitations
The scripts are intentionally small and deterministic; they support bounded proxy recovery and are not a replacement for full neural image or tabular training.