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GwendalTsang/dimension-free-ald-reproduction

CPU reproduction of Dimension-Free Multimodal Sampling via Preconditioned ALD This is an independent reproduction bundle for arXiv:2602.01449 / OpenReview 3wMM5NEFvr. It uses the paper's analytic diagonal Gaussian-mixture scores and requires no trained model or dataset. Run The only runtime dependency is NumPy. python repro.py theory python -m unittest discover -s tests -v python repro.py experiment The default empirical command is a documented CPU-scaled sweep… See the full description on the dataset page: https://huggingface.co/datasets/GwendalTsang/dimension-free-ald-reproduction.

sourceHugging Facemitupdated 2mo agoView on Hugging Face
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11 commits on main
91a5f912mo ago

Remove generated bytecode from reproduction bundle

GwendalTsang
2fcc62b2mo ago

Add validated poster and complete CPU reproduction bundle

GwendalTsang
5e488e52mo ago

Archive authoritative LaTeX source used for audit

GwendalTsang
34e3c482mo ago

Publish local validation suite

GwendalTsang
2e3c21c2mo ago

Publish paper-scale results and GPU job audit

GwendalTsang
c216d752mo ago

Add dataset card metadata and complete instructions

GwendalTsang
5ee1dfc2mo ago

Test complete Torch integration path locally

GwendalTsang
2f70c042mo ago

Add reproduction instructions

GwendalTsang
3ce928c2mo ago

Add CPU reproduction implementation

GwendalTsang
6aa629a2mo ago

Add locally validated L4 confirmation script

GwendalTsang
e57aca72mo ago

initial commit

GwendalTsang