Beyond Market Intelligence/adaptive stepping

adaptive stepping

Beyond Market Intelligence keeps adaptive stepping in one place: one story so far. The section currently leads with “Testing Curvature Signals for Adaptive Flow Matching Step Control”. The angle between consecutive velocity evaluations in a multistep sampler is free to compute, but does it make a usable curvature signal for adaptive stepping? Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every adaptive stepping story on Beyond Market Intelligence, newest first.

Testing Curvature Signals for Adaptive Flow Matching Step Control
Machine Learning

Testing Curvature Signals for Adaptive Flow Matching Step Control

The angle between consecutive velocity evaluations in a multistep sampler is free to compute, but does it make a usable curvature signal for adaptive stepping? In this test on Anima (flow model, bf16), the answer is a measured no. A cosine controller loses to fixed grids at equal NFE, and per-sample adaptation shows no headroom, borrowing another sample's controller grid performs within noise of using your own. Static grids weighted by angle rate beat normal schedules by 30-43%.