Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Parulekar, Aditya"'
Diffusion models are a remarkably effective way of learning and sampling from a distribution $p(x)$. In posterior sampling, one is also given a measurement model $p(y \mid x)$ and a measurement $y$, and would like to sample from $p(x \mid y)$. Poster
Externí odkaz:
http://arxiv.org/abs/2402.12727
Diffusion models have become the most popular approach to deep generative modeling of images, largely due to their empirical performance and reliability. From a theoretical standpoint, a number of recent works~\cite{chen2022,chen2022improved,benton20
Externí odkaz:
http://arxiv.org/abs/2311.13745
We consider the problem of finding an approximate solution to $\ell_1$ regression while only observing a small number of labels. Given an $n \times d$ unlabeled data matrix $X$, we must choose a small set of $m \ll n$ rows to observe the labels of, t
Externí odkaz:
http://arxiv.org/abs/2105.09433