Giorgio Gilestro
ab3dc10587
- paper/pnas -> paper/manuscript (venue-neutral)
- configs/layer1 -> configs/inheritance, src/knowledge -> src/inheritance
(imported as `inheritance`), make layer1 -> make inheritance; layer2 alias dropped
- inheritance and trained-network bundles named after the manuscript figure
they feed (fig2_grounding_sweep, figS3_rebaselining, ...), or descriptively
where they feed none; configs keep their `experiment:` value so parquet
hashes are unchanged, only output.dir moves
- figure scripts, SI figure sources, notebooks, REPRODUCING.md, README and the
SI Methods/tables updated; make clean no longer deletes tracked manifests;
reproduce.sh hashes the s{seed}/ layouts too
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Y64o8FKP7rCuXzC48pxpMm
110 lines
1.8 KiB
YAML
110 lines
1.8 KiB
YAML
experiment: mnist_collapse
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seed: 20260705
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n_replicates: 4
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source_config:
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experiment: mnist_collapse
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kind: mnist_lineage
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seed: 20260705
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n_replicates: 4
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mnist:
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K: 30
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n_classes: 10
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style_bins: 3
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R: 1
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tail: zipf
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zipf_s: 1.5
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tail_threshold: 0.01
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init: truth
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data_root: data
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model:
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kind: convvae
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latent: 32
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epochs: 30
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lr: 0.001
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batch_size: 256
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beta: 1.0
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n_eval: 10000
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oracle:
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epochs: 5
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lr: 0.001
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batch_size: 256
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cache: models/mnist_cnn.pt
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dynamics:
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n: 6000
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grounding:
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m: 0
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policy: proportional
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generations: 15
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metrics:
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kl_floor: 1.0e-09
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support_eps: 1.0e-09
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sweep:
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- param: g
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values:
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- 0.0
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- 0.1
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output:
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dir: results/fig2_mnist_collapse
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grid:
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- label:
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g: 0.0
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m: 0
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lineage_cfg:
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mnist:
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K: 30
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n_classes: 10
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style_bins: 3
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R: 1
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tail: zipf
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zipf_s: 1.5
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tail_threshold: 0.01
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init: truth
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data_root: data
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model:
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kind: convvae
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latent: 32
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epochs: 30
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lr: 0.001
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batch_size: 256
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beta: 1.0
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n_eval: 10000
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dynamics:
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n: 6000
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grounding:
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m: 0
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policy: proportional
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generations: 15
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metrics:
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kl_floor: 1.0e-09
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support_eps: 1.0e-09
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- label:
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g: 0.1
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m: 667
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lineage_cfg:
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mnist:
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K: 30
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n_classes: 10
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style_bins: 3
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R: 1
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tail: zipf
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zipf_s: 1.5
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tail_threshold: 0.01
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init: truth
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data_root: data
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model:
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kind: convvae
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latent: 32
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epochs: 30
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lr: 0.001
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batch_size: 256
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beta: 1.0
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n_eval: 10000
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dynamics:
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n: 6000
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grounding:
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m: 667
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policy: proportional
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generations: 15
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metrics:
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kl_floor: 1.0e-09
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support_eps: 1.0e-09
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