3 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Hopformer (Homogeneity-Pursuit Transformer), a two-stage framework that addresses multiple time-series with high-dimensional covariates, and proves that SPA achieves a near-optimal bias-variance trade-off via an oracle inequality.
Denoising score matching trains diffusion models by regressing onto a conditional score, although generation ultimately requires the marginal score, and derives the result from a Schr"odinger bridge variational principle, in which the ideal objective arises as excess path-space relative entropy.
This work reformulates the video diffusion sampling as a frame-indexed stochastic process over noise levels, and constructs a continuous training trajectory along which the sampling schedule progressively evolves from independent sampling to inference-consistent sampling.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
