Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Nie, Shen"'
Discrete diffusion models with absorbing processes have shown promise in language modeling. The key quantities to be estimated are the ratios between the marginal probabilities of two transitive states at all timesteps, called the concrete score. In
Externí odkaz:
http://arxiv.org/abs/2406.03736
Bayesian flow networks (BFNs) iteratively refine the parameters, instead of the samples in diffusion models (DMs), of distributions at various noise levels through Bayesian inference. Owing to its differentiable nature, BFNs are promising in modeling
Externí odkaz:
http://arxiv.org/abs/2404.15766
We present a unified probabilistic formulation for diffusion-based image editing, where a latent variable is edited in a task-specific manner and generally deviates from the corresponding marginal distribution induced by the original stochastic or or
Externí odkaz:
http://arxiv.org/abs/2311.01410
Autor:
Bao, Fan, Nie, Shen, Xue, Kaiwen, Li, Chongxuan, Pu, Shi, Wang, Yaole, Yue, Gang, Cao, Yue, Su, Hang, Zhu, Jun
This paper proposes a unified diffusion framework (dubbed UniDiffuser) to fit all distributions relevant to a set of multi-modal data in one model. Our key insight is -- learning diffusion models for marginal, conditional, and joint distributions can
Externí odkaz:
http://arxiv.org/abs/2303.06555
Vision transformers (ViT) have shown promise in various vision tasks while the U-Net based on a convolutional neural network (CNN) remains dominant in diffusion models. We design a simple and general ViT-based architecture (named U-ViT) for image gen
Externí odkaz:
http://arxiv.org/abs/2209.12152
Publikováno v:
Quantum Sci. Technol. 6, 045021 (2021)
Preparation of quantum state lies at the heart of quantum information processing. The greedy algorithm provides a potential method to effectively prepare quantum states. However, the standard greedy algorithm, in general, cannot take the global maxim
Externí odkaz:
http://arxiv.org/abs/2108.03351
Publikováno v:
Phys. Rev. A 104, 052424 (2021)
We investigate the influence of environment noise on the control cost and the quantum speed limit time (QSLT) in the process of almost exact state transmission (AEST) through a spin chain under pulse control. The chain is immersed in its surrounding
Externí odkaz:
http://arxiv.org/abs/2106.09298
Publikováno v:
EPJ Quantum Technology 8, 29 (2021)
Accurate and efficient preparation of quantum state is a core issue in building a quantum computer. In this paper, we investigate how to prepare a certain single- or two-qubit target state from arbitrary initial states in semiconductor double quantum
Externí odkaz:
http://arxiv.org/abs/2012.00326
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