Consist-Retinex is proposed, which first uses a Retinex Transformer Decomposition Network to obtain paired reflectance and illumination maps, then trains two conditional consistency models with a Retinex-aware dual objective and adaptive noise-emphasized fixed-point sampling.
Jian Xu, Wei Chen, Shigui Li et al.· arXiv.org· 0 citations
A large graph is often available only in part: a crawl stopped by its budget, a panel, a partial dump. When the sampled fraction $s$ is known by design the total edge count follows from $\hat e=e_s/s^2$ and no model is needed. We treat the case where $s$ is unknown and the population size is known. Our main result is a...
Jian Xu, Delu Zeng, John W. Paisley et al.· 0 citations
It is proved that counterfactual invariance is necessary and sufficient to identify the causal predictor, and the mechanism from feature-vector SCMs to procedural pixel video, real images with spectrogram audio, moving real digits, and a conditional generator is verified.
A PAC-Bayesian account in which quantum policy design is reframe around an entanglement--generalization trade-off rather than expressivity alone is given, where entangled circuits consistently generalize worse than non-entangled circuits of equal parameter count.
Jian Xu, Delu Zeng, John W. Paisley et al.· 0 citations
The contribution is accordingly not a better estimator but a characterization of \emph{when prior-based correction is justified}, plus designs that supply the missing information when it is not, plus designs that supply the missing information when it is not.
Jian Xu, Delu Zeng, John W. Paisley et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
