Topics — The twenty-eight kinds of claim this anthology files against — the primary axis of both the practice registry and the reading list, and the same twenty-eight for each (ADR-026). The filing rule is the point: take a domain topic when the claim is ABOUT the domain; a claim merely discovered in one still takes its kind. The axis organizes the record, it does not bound it: content the list cannot place is evidence the list is short (ADR-059).
Vision and graphics — neural rendering, reconstruction, perception, visual foundation models.
2 of 129 THEORY documents. Back to the full index.
| # | Title | Summary | Status |
|---|---|---|---|
| THEORY-052 | Synthesis requires equivariant representations and discriminative pretraining rewards invariant ones, which is why a generative prior groups objects it was never shown | Khangaonkar and Pirsiavash (2025), LIT-488 — self-distillation and contrastive objectives explicitly reward representations that do not change under augmentation; instance segmentation needs representations that do. The paper’s DINO control activates on objects and cannot separate their instances, which is the shape this account predicts. | Proposed |
| THEORY-095 | No unbiased estimator of FID exists, so its plug-in bias can reverse a comparison while the sample variance stays small | Bińkowski et al. (2018), LIT-615 — the FID is a non-linear functional of the two distributions, and by the Bickel–Lehmann argument no estimator of it is unbiased for all distributions. The bias is therefore a property of the quantity, not of the plug-in formula, and it does not appear in the standard error: at d=2048 and 50,000 samples the estimator reversed a true ordering in all 100 trials, with standard deviations of 0.2 and 0.5 on a gap of 2.5. The non-existence proof needs a mixture family; what rescues it for practice is that Inception codes are not normal. | Active |