Conditional Flow Matching for Engineering Inverse Design
Collection
Models, datasets, and reproducibility artifacts for the EngOpt 2026 conditional flow-matching paper. • 5 items • Updated
EngiOpt flow_matching_2d_cond
This repository stores evaluation-ready EngiOpt checkpoints for one model family. The models are trained on EngiBench problem datasets and are intended as learned initializations for downstream engineering optimization.
Each package contains model weights, run_config.json, and metadata.json. Selected checkpoint packages also include the validation shortlist and selection results. The metadata links each package to its W&B evaluation run and records the source revisions needed to reproduce the evaluation.
Beams2D metric correction
The selected Beams2D CFM checkpoints were not retrained or reselected. Their final
MMD and DPP values were recomputed with the declared Beams2D kernel bandwidth
sigma=1.0; the original evaluation used sigma=10.0. COG, FOG,
volume-fraction deviation, checkpoint files, and checkpoint checksums are
unchanged. The original values remain in each package under
test_metrics_pre_correction, and the corrected provenance is recorded in
corrections/beams2d_sigma1_v1.json.
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