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AkshaySasi
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hypershadow

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point-cloud
geometry
topology
benchmark
higher-dimensions
Synthetic
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@@ -78,12 +78,14 @@ seq = t["points"] # (1800, 16, 512, 3)
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  | Method | Accuracy (static) |
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  |---|---|
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- | intrinsic dimension, best threshold | 0.732 |
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  | persistent homology + GBT | 0.904 |
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  | geometric features + GBT | 0.956 |
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- | PointNet-lite, 190k params | 0.966 |
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- Temporal track: Kabsch rigidity residual threshold, AUROC 0.982.
 
 
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  ## Reproducing or extending
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  | Method | Accuracy (static) |
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  |---|---|
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+ | intrinsic dimension, best threshold | 0.737 +/- 0.004 |
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  | persistent homology + GBT | 0.904 |
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  | geometric features + GBT | 0.956 |
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+ | PointNet-lite, 190k params | 0.962 +/- 0.003 |
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+ Uncertainty is the standard deviation over five random splits or training
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+ seeds. Temporal track: Kabsch rigidity residual threshold, AUROC 0.982,
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+ held-out accuracy 0.978 +/- 0.004.
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  ## Reproducing or extending
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