Zobrazeno 1 - 10
of 47 131
pro vyhledávání: '"Wang,Kai"'
Dataset distillation (DD) aims to distill a small, information-rich dataset from a larger one for efficient neural network training. However, existing DD methods struggle with long-tailed datasets, which are prevalent in real-world scenarios. By inve
Externí odkaz:
http://arxiv.org/abs/2408.14506
We present Pyramid Attention Broadcast (PAB), a real-time, high quality and training-free approach for DiT-based video generation. Our method is founded on the observation that attention difference in the diffusion process exhibits a U-shaped pattern
Externí odkaz:
http://arxiv.org/abs/2408.12588
Autor:
Zhao, Dingyi, Peng, Yingjie, Jing, Yipeng, Yang, Xiaohu, Ho, Luis C., Renzini, Alvio, Gallazzi, Anna R., Lyu, Cheqiu, Maiolino, Roberto, Dou, Jing, Gao, Zeyu, Gu, Qiusheng, Mannucci, Filippo, Mo, Houjun, Wang, Bitao, Wang, Enci, Wang, Kai, Wang, Yu-Chen, Xu, Bingxiao, Yuan, Feng, Zhu, Xingye
In $\Lambda$CDM cosmology, galaxies form and evolve in their host dark matter (DM) halos. Halo mass is crucial for understanding the halo-galaxy connection. The abundance matching (AM) technique has been widely used to derive the halo masses of galax
Externí odkaz:
http://arxiv.org/abs/2408.12442
We show that swallowtail catastrophe consisting of various-order non-Hermitian and Hermitian degeneracies naturally exists in the dynamics of two-mode driven-dissipative quadrature squeezing systems that break pseudo-Hermiciticy by judiciously engine
Externí odkaz:
http://arxiv.org/abs/2408.11268
Autor:
Gao, Zeyu, Peng, Yingjie, Wang, Kai, Ho, Luis C., Renzini, Alvio, Gallazzi, Anna R., Mannucci, Filippo, Mo, Houjun, Jing, Yipeng, Yang, Xiaohu, Wang, Enci, Zhao, Dingyi, Dou, Jing, Gu, Qiusheng, Lyu, Cheqiu, Maiolino, Roberto, Wang, Bitao, Wang, Yu-Chen, Xu, Bingxiao, Yuan, Feng, Zhu, Xingye
The spectral energy distribution (SED) of galaxies is essential for deriving fundamental properties like stellar mass and star formation history (SFH). However, conventional methods, including both parametric and non-parametric approaches, often fail
Externí odkaz:
http://arxiv.org/abs/2408.07749
Autor:
Wang, Kai, Peng, Yingjie
The tight relationship between the stellar mass and halo mass of galaxies is one of the most fundamental scaling relations in galaxy formation and evolution. It has become a critical constraint for galaxy formation models. Over the past decade, growi
Externí odkaz:
http://arxiv.org/abs/2408.07743
The Dial-a-Ride Problem (DARP) is an optimization problem that involves determining optimal routes and schedules for several vehicles to pick up and deliver items at minimum cost. Motivated by real-world carpooling and crowdshipping scenarios, we int
Externí odkaz:
http://arxiv.org/abs/2408.07602
Autor:
Kang, Lei, Yang, Fei, Wang, Kai, Souibgui, Mohamed Ali, Gomez, Lluis, Fornés, Alicia, Valveny, Ernest, Karatzas, Dimosthenis
Fonts are integral to creative endeavors, design processes, and artistic productions. The appropriate selection of a font can significantly enhance artwork and endow advertisements with a higher level of expressivity. Despite the availability of nume
Externí odkaz:
http://arxiv.org/abs/2408.07259
Autor:
Yu, Tianhao, Yao, Cai, Sun, Zhuorui, Shi, Feng, Zhang, Lin, Lyu, Kangjie, Bai, Xuan, Liu, Andong, Zhang, Xicheng, Zou, Jiali, Wang, Wenshou, Lai, Chris, Wang, Kai
In this study, we generate and maintain a database of 10 million virtual lipids through METiS's in-house de novo lipid generation algorithms and lipid virtual screening techniques. These virtual lipids serve as a corpus for pre-training, lipid repres
Externí odkaz:
http://arxiv.org/abs/2408.06150
Autor:
Li, Zekai, Guo, Ziyao, Zhao, Wangbo, Zhang, Tianle, Cheng, Zhi-Qi, Khaki, Samir, Zhang, Kaipeng, Sajedi, Ahmad, Plataniotis, Konstantinos N, Wang, Kai, You, Yang
Dataset Distillation aims to compress a large dataset into a significantly more compact, synthetic one without compromising the performance of the trained models. To achieve this, existing methods use the agent model to extract information from the t
Externí odkaz:
http://arxiv.org/abs/2408.03360