{ "schema_version": 2, "title": "Reproduction: Bayesian Tensor Decomposition with Diffusion Model Prior", "emoji": "🎯", "space_id": "riteshhf/repro-bayesian-tensor-decomposition-with-diffusion-model-prior", "paper": null, "tags": [ "icml2026-repro", "open-reproductions", "paper-q806xA8NPR", "trackio" ], "updated_at": "2026-08-02T14:45:58+00:00", "root": { "slug": "index", "title": "Reproduction: Bayesian Tensor Decomposition with Diffusion Model Prior", "file": "pages/index.md", "children": [ { "slug": "executive-summary", "title": "Executive summary", "file": "pages/executive-summary/page.md", "children": [] }, { "slug": "claim-1-joint-probabilistic-model-cusp-diffusion-prior", "title": "Claim 1: Joint probabilistic model (CUSP + diffusion prior)", "file": "pages/claim-1-joint-probabilistic-model-cusp-diffusion-prior/page.md", "children": [] }, { "slug": "claim-2-theorem-3-1-cusp-tail-shrinkage", "title": "Claim 2: Theorem 3.1 — CUSP tail shrinkage", "file": "pages/claim-2-theorem-3-1-cusp-tail-shrinkage/page.md", "children": [] }, { "slug": "claim-3-split-gibbs-sampler-noise-adaptive-coupling", "title": "Claim 3: Split Gibbs sampler + noise-adaptive coupling", "file": "pages/claim-3-split-gibbs-sampler-noise-adaptive-coupling/page.md", "children": [] }, { "slug": "claim-4-theorem-3-4-stationary-bias-bound", "title": "Claim 4: Theorem 3.4 — stationary bias bound", "file": "pages/claim-4-theorem-3-4-stationary-bias-bound/page.md", "children": [] }, { "slug": "claim-5-ffhq-imagenet-inpainting-table-1", "title": "Claim 5: FFHQ / ImageNet inpainting (Table 1)", "file": "pages/claim-5-ffhq-imagenet-inpainting-table-1/page.md", "children": [] }, { "slug": "claim-6-ood-high-resolution-2048x2048-table-2", "title": "Claim 6: OOD high-resolution 2048x2048 (Table 2)", "file": "pages/claim-6-ood-high-resolution-2048x2048-table-2/page.md", "children": [] }, { "slug": "conclusion", "title": "Conclusion", "file": "pages/conclusion/page.md", "children": [] } ] }, "traces": [], "workspace": { "file": "workspace.json", "file_count": 0, "total_size": 0, "bucket_id": null }, "agent_view_tokens": 23728, "trace_view_tokens": 74294, "workspace_view_tokens": 5375, "revision": "ec896f8b4f5e08b4241c", "traces_ref": { "repo_id": "riteshhf/repro-bayesian-tensor-decomposition-with-diffusion-model-prior-traces", "repo_type": "dataset", "repo_url": "https://huggingface.co/datasets/riteshhf/repro-bayesian-tensor-decomposition-with-diffusion-model-prior-traces", "private": true, "viewer_path": "trackio/index.json" }, "trace_dataset": "https://huggingface.co/datasets/riteshhf/repro-bayesian-tensor-decomposition-with-diffusion-model-prior-traces", "workspace_ref": { "repo_id": "riteshhf/repro-bayesian-tensor-decomposition-with-diffusion-model-prior-artifacts", "repo_type": "bucket", "repo_url": "https://huggingface.co/buckets/riteshhf/repro-bayesian-tensor-decomposition-with-diffusion-model-prior-artifacts", "private": true }, "workspace_bucket": "https://huggingface.co/buckets/riteshhf/repro-bayesian-tensor-decomposition-with-diffusion-model-prior-artifacts" }