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241 to 250 of 1,014 Results
model.py
May 27, 2026 - Replication Data and Scripts for: "Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail"
Python Source Code - 933 B - MD5: e94f1ef70a1c598dd01734f0028e6819
model_sizes.ipynb
May 27, 2026 - Replication Data and Scripts for: "Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail"
Jupyter Notebook - 368.8 KB - MD5: 38aace9a087f2b3a30d0686f60072fbc
models.py
May 27, 2026 - Replication Data and Scripts for: "Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail"
Python Source Code - 3.0 KB - MD5: daf9f5400b19e40fc9f11c913764413b
ntk_spectral_distributions.pdf
May 27, 2026 - Replication Data and Scripts for: "Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail"
Adobe PDF - 302.1 KB - MD5: 63bb4a29b8cf0a455976e97bd6df6c7c
paths.sh
May 27, 2026 - Replication Data and Scripts for: "Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail"
Unknown - 715 B - MD5: fa76eb68d82769c583debbf96d211e33
paths.sh
May 27, 2026 - Replication Data and Scripts for: "Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail"
Unknown - 771 B - MD5: 629295212fcbfa41c6814d5b93281833
paths.sh
May 27, 2026 - Replication Data and Scripts for: "Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail"
Unknown - 757 B - MD5: 6692d6d9f36ad89d9986a78ccbf51543
performance.pkl
May 27, 2026 - Replication Data and Scripts for: "Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail"
Unknown - 58.5 MB - MD5: 11d45f1a5e169cecb91e20e7105ed7aa
performance.pkl
May 27, 2026 - Replication Data and Scripts for: "Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail"
Unknown - 32.4 MB - MD5: bc13e503b633c97cd77955158fe18460
performance.pkl
May 27, 2026 - Replication Data and Scripts for: "Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail"
Unknown - 58.5 MB - MD5: d5fd70595df3cf301014fa77d3552e54
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