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repro-finding-most-influential-sets
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repro-finding-most-influential-sets
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History:
40 commits
ProCreations
Audit learned score scope for diffusion bounds
463d94c
about 1 hour ago
code
Audit learned score scope for diffusion bounds
about 1 hour ago
outputs
Repurpose zero-loss duplicate for diffusion model collapse reproduction
8 days ago
packaged_replay
Repurpose zero-loss duplicate for diffusion model collapse reproduction
8 days ago
pages
Audit learned score scope for diffusion bounds
about 1 hour ago
source
Repurpose zero-loss duplicate for diffusion model collapse reproduction
8 days ago
.gitattributes
Safe
2.05 kB
Repurpose zero-loss duplicate for diffusion model collapse reproduction
8 days ago
BUNDLE_SHA256SUMS.txt
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6.48 kB
Reconcile Hub LFS rules for diffusion model collapse reproduction
8 days ago
README.md
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753 Bytes
Repurpose zero-loss duplicate for diffusion model collapse reproduction
8 days ago
SOURCE_PIN.txt
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445 Bytes
Repurpose zero-loss duplicate for diffusion model collapse reproduction
8 days ago
bucket-icon.svg
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413 Bytes
Publish independent ICML 2026 reproduction: Finding Most Influential Sets
12 days ago
build_manifest.py
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952 Bytes
Repurpose zero-loss duplicate for diffusion model collapse reproduction
8 days ago
claims.json
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1.41 kB
Repurpose zero-loss duplicate for diffusion model collapse reproduction
8 days ago
index.html
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1.87 kB
Repurpose zero-loss duplicate for diffusion model collapse reproduction
8 days ago
logbook.css
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29.6 kB
Publish independent ICML 2026 reproduction: Finding Most Influential Sets
12 days ago
logbook.js
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77.3 kB
Publish independent ICML 2026 reproduction: Finding Most Influential Sets
12 days ago
logbook.json
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5.33 kB
Repurpose zero-loss duplicate for diffusion model collapse reproduction
8 days ago
official_claims.json
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1.41 kB
Repurpose zero-loss duplicate for diffusion model collapse reproduction
8 days ago
outputs_collapse_results.json
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1.44 kB
Claim 6: run the 10-D Gaussian-mixture self-consuming loop independently (was source-pinned only); alpha=0 degrades 9.4x vs 1.2x at alpha=1 over 80 generations
5 days ago
poster_embed.html
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1.65 kB
Repurpose zero-loss duplicate for diffusion model collapse reproduction
8 days ago
reproduce.py
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18.2 kB
Repurpose zero-loss duplicate for diffusion model collapse reproduction
8 days ago
requirements.txt
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32 Bytes
Repurpose zero-loss duplicate for diffusion model collapse reproduction
8 days ago
trackio-logo-light.png
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30 kB
Publish independent ICML 2026 reproduction: Finding Most Influential Sets
12 days ago
trackio-logo.png
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55.6 kB
Publish independent ICML 2026 reproduction: Finding Most Influential Sets
12 days ago
trackio-wordmark-dark.png
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89.8 kB
Publish independent ICML 2026 reproduction: Finding Most Influential Sets
12 days ago