Zobrazeno 1 - 10
of 160 122
pro vyhledávání: '"An, Xiaoyu"'
Autor:
Xu, Yu, Tang, Fan, Cao, Juan, Zhang, Yuxin, Kong, Xiaoyu, Li, Jintao, Deussen, Oliver, Lee, Tong-Yee
Diffusion Transformers (DiTs) have exhibited robust capabilities in image generation tasks. However, accurate text-guided image editing for multimodal DiTs (MM-DiTs) still poses a significant challenge. Unlike UNet-based structures that could utilize
Externí odkaz:
http://arxiv.org/abs/2411.15034
Autor:
Conlon, David, Fox, Jacob, Gunby, Benjamin, He, Xiaoyu, Mubayi, Dhruv, Suk, Andrew, Verstraëte, Jacques, Yu, Hung-Hsun Hans
A natural open problem in Ramsey theory is to determine those $3$-graphs $H$ for which the off-diagonal Ramsey number $r(H, K_n^{(3)})$ grows polynomially with $n$. We make substantial progress on this question by showing that if $H$ is tightly conne
Externí odkaz:
http://arxiv.org/abs/2411.13812
Autor:
Alotaibi, Rana, Tian, Yuanyuan, Grafberger, Stefan, Camacho-Rodríguez, Jesús, Bruno, Nicolas, Kroth, Brian, Matusevych, Sergiy, Agrawal, Ashvin, Behera, Mahesh, Gosalia, Ashit, Galindo-Legaria, Cesar, Joshi, Milind, Potocnik, Milan, Sezgin, Beysim, Li, Xiaoyu, Curino, Carlo
Customer demand, regulatory pressure, and engineering efficiency are the driving forces behind the industry-wide trend of moving from siloed engines and services that are optimized in isolation to highly integrated solutions. This is confirmed by the
Externí odkaz:
http://arxiv.org/abs/2411.13704
Autor:
Yang, Yifan, Jin, Qiao, Leaman, Robert, Liu, Xiaoyu, Xiong, Guangzhi, Sarfo-Gyamfi, Maame, Gong, Changlin, Ferrière-Steinert, Santiago, Wilbur, W. John, Li, Xiaojun, Yuan, Jiaxin, An, Bang, Castro, Kelvin S., Álvarez, Francisco Erramuspe, Stockle, Matías, Zhang, Aidong, Huang, Furong, Lu, Zhiyong
The remarkable capabilities of Large Language Models (LLMs) make them increasingly compelling for adoption in real-world healthcare applications. However, the risks associated with using LLMs in medical applications have not been systematically chara
Externí odkaz:
http://arxiv.org/abs/2411.14487
Autor:
Zhou, Xinyi, Zhang, Cheng, Zhang, Xiaoyu, Zuo, Yi, Zhang, Zixuan, Wang, Feifan, Chen, Zihao, Li, Hongbin, Peng, Chao
Miniaturized (mini-) spectrometers are highly desirable tools for chemical, biological, and medical diagnostics because of their potential for portable and in situ spectral detection. In this work, we propose and demonstrate a mini-spectrometer that
Externí odkaz:
http://arxiv.org/abs/2411.13353
Autor:
Armellin, Roberto, Bellome, Andrea, Fu, Xiaoyu, Holt, Harry, Parigini, Cristina, Wijayatunga, Minduli, Yarndley, Jack
We present the solution approach developed by the team `TheAntipodes' during the 12th edition of the Global Trajectory Optimization Competition (GTOC 12). An overview of the approach is as follows: (1) generate asteroid subsets, (2) chain building wi
Externí odkaz:
http://arxiv.org/abs/2411.11279
Autor:
Chichinadze, Dmitry V., Zhang, Naiyuan James, Lin, Jiang-Xiazi, Wang, Xiaoyu, Watanabe, Kenji, Taniguchi, Takashi, Vafek, Oskar, Li, J. I. A.
In a system of two-dimensional electrons, a combination of broken symmetry, interactions, and nontrivial topology can conspire to give rise to a nonlinear transport regime, where electric current density scales as the square of electric field. This r
Externí odkaz:
http://arxiv.org/abs/2411.11156
Let $\overline X$ be a smooth rigid variety over $C=\mathbb C_p$ admitting a lift $X$ over $B_{dR}^+$. In this paper, we use the stacky language to prove a nilpotent $p$-adic Riemann-Hilbert correspondence. After introducing the moduli stack of $\mat
Externí odkaz:
http://arxiv.org/abs/2411.10165
Autor:
Yang, Xiaoyu, Xu, Lijian
This paper proposes a scalable and straightforward pre-training paradigm for efficient visual conceptual representation called masked image contrastive learning (MiCL). Our MiCL approach is simple: we randomly mask patches to generate different views
Externí odkaz:
http://arxiv.org/abs/2411.09858
An oblivious subspace embedding is a random $m\times n$ matrix $\Pi$ such that, for any $d$-dimensional subspace, with high probability $\Pi$ preserves the norms of all vectors in that subspace within a $1\pm\epsilon$ factor. In this work, we give an
Externí odkaz:
http://arxiv.org/abs/2411.08773