Zobrazeno 1 - 10
of 779 296
pro vyhledávání: '"Do, A."'
Generating group dance motion from the music is a challenging task with several industrial applications. Although several methods have been proposed to tackle this problem, most of them prioritize optimizing the fidelity in dancing movement, constrai
Externí odkaz:
http://arxiv.org/abs/2407.18839
In this paper, we study a Dirichlet type problem for the non-pluripolar complex Monge - Amp\`ere equation with prescribed singularity on a bounded domain of $\mathbb{C}^n$. We provide a local version for an existence and uniqueness theorem proved by
Externí odkaz:
http://arxiv.org/abs/2407.00937
While diffusion models excel at conditional generating high-quality images, prior works in discrete diffusion models were not evaluated on conditional long-text generation. In this work, we address the limitations of prior discrete diffusion models f
Externí odkaz:
http://arxiv.org/abs/2407.10998
Autor:
Amaral, Charles S. do
We study a percolation model with restrictions on the opening of sites on the square lattice. In this model, each site $s \in \mathbb{Z}^{2}$ starts closed and an attempt to open it occurs at time $t=t_s$, where $(t_s)_{s \in \mathbb{Z}^2}$ is a sequ
Externí odkaz:
http://arxiv.org/abs/2408.04409
Autor:
Doan, Khanh, Vuong, Long Tung, Nguyen, Tuan, Bui, Anh Tuan, Tran, Quyen, Do, Thanh-Toan, Phung, Dinh, Le, Trung
Diffusion models (DM) have become fundamental components of generative models, excelling across various domains such as image creation, audio generation, and complex data interpolation. Signal-to-Noise diffusion models constitute a diverse family cov
Externí odkaz:
http://arxiv.org/abs/2408.04221
Autor:
Zhou, Jinzhao, Duan, Yiqun, Zhao, Ziyi, Chang, Yu-Cheng, Wang, Yu-Kai, Do, Thomas, Lin, Chin-Teng
Decoding linguistic information from non-invasive brain signals using EEG has gained increasing research attention due to its vast applicational potential. Recently, a number of works have adopted a generative-based framework to decode electroencepha
Externí odkaz:
http://arxiv.org/abs/2408.04679
Autor:
Haggard, Z., Ghez, A. M., Sakai, S., Gautam, A. K., Do, T., Lu, J. R., Hosek, M., Morris, M. R., Granados, S.
The Milky Way's central parsec is a highly extinguished region with a population of high-proper-motion stars. We have tracked 145 stars for $\sim$10 years at wavelengths between 1 and 4 microns to analyze extinction effects in color-magnitude space.
Externí odkaz:
http://arxiv.org/abs/2408.03467
Lifted linear predictor (LLP) is an artificial linear dynamical system designed to predict trajectories of a generally nonlinear dynamical system based on the current state (or measurements) and the input. The main benefit of the LLP is its potential
Externí odkaz:
http://arxiv.org/abs/2408.01116
This paper studies the statistical characterization of ground-to-air (G2A) and reconfigurable intelligent surface (RIS)-assisted air-to-ground (A2G) communications in RIS-assisted UAV networks under the impact of channel aging. A comprehensive channe
Externí odkaz:
http://arxiv.org/abs/2408.00600
Autor:
Carmo, Marciano Palma do, Mack, David, Roth, Diane J., Zhao, Miao, Devis, Ancin M., Rodríguez-Fortuño, Francisco J., Maier, Stefan A., Huidobro, Paloma A., Rakovich, Aliaksandra
Controlled long-range transport of micro- and nano-scale objects is a key requirement in lab-on-a-chip and microfluidic applications, enabling the efficient capture, concentration, manipulation, and detection of analytes. Traditional methods such as
Externí odkaz:
http://arxiv.org/abs/2408.00515