Zobrazeno 1 - 10
of 37 941
pro vyhledávání: '"An, Weili"'
Cloth-changing person re-identification is a subject closer to the real world, which focuses on solving the problem of person re-identification after pedestrians change clothes. The primary challenge in this field is to overcome the complex interplay
Externí odkaz:
http://arxiv.org/abs/2411.00330
Diffusion models achieve high-quality sample generation at the cost of a lengthy multistep inference procedure. To overcome this, diffusion distillation techniques produce student generators capable of matching or surpassing the teacher in a single s
Externí odkaz:
http://arxiv.org/abs/2410.23274
Autor:
Xu, Minkai, Geffner, Tomas, Kreis, Karsten, Nie, Weili, Xu, Yilun, Leskovec, Jure, Ermon, Stefano, Vahdat, Arash
Despite remarkable progress in autoregressive language models, alternative generative paradigms beyond left-to-right generation are still being actively explored. Discrete diffusion models, with the capacity for parallel generation, have recently eme
Externí odkaz:
http://arxiv.org/abs/2410.21357
Autor:
Zhang, Kexin, Liu, Shuhan, Wang, Song, Shi, Weili, Chen, Chen, Li, Pan, Li, Sheng, Li, Jundong, Ding, Kaize
Distribution shifts on graphs -- the discrepancies in data distribution between training and employing a graph machine learning model -- are ubiquitous and often unavoidable in real-world scenarios. These shifts may severely deteriorate model perform
Externí odkaz:
http://arxiv.org/abs/2410.19265
Autor:
Daras, Giannis, Nie, Weili, Kreis, Karsten, Dimakis, Alex, Mardani, Morteza, Kovachki, Nikola Borislavov, Vahdat, Arash
Using image models naively for solving inverse video problems often suffers from flickering, texture-sticking, and temporal inconsistency in generated videos. To tackle these problems, in this paper, we view frames as continuous functions in the 2D s
Externí odkaz:
http://arxiv.org/abs/2410.16152
Autor:
Lee, Sangyun, Xu, Yilun, Geffner, Tomas, Fanti, Giulia, Kreis, Karsten, Vahdat, Arash, Nie, Weili
Consistency models have recently been introduced to accelerate sampling from diffusion models by directly predicting the solution (i.e., data) of the probability flow ODE (PF ODE) from initial noise. However, the training of consistency models requir
Externí odkaz:
http://arxiv.org/abs/2410.14895
Text-to-image diffusion models have demonstrated remarkable progress in synthesizing high-quality images from text prompts, which boosts researches on prompt-based image editing that edits a source image according to a target prompt. Despite their ad
Externí odkaz:
http://arxiv.org/abs/2410.10496
Autor:
Chen, Jie, Di, Junrui, Daizadeh, Nadia, Lu, Ying, Wang, Hongwei, Shen, Yuan-Li, Kirk, Jennifer, Rockhold, Frank W., Pang, Herbert, Zhao, Jing, He, Weili, Potter, Andrew, Lee, Hana
There has been a growing trend that activities relating to clinical trials take place at locations other than traditional trial sites (hence decentralized clinical trials or DCTs), some of which are at settings of real-world clinical practice. Althou
Externí odkaz:
http://arxiv.org/abs/2410.06591
Autor:
Chen, Jie, Gruber, Susan, Lee, Hana, Chu, Haitao, Lee, Shiowjen, Tian, Haijun, Wang, Yan, He, Weili, Jemielita, Thomas, Song, Yang, Tamura, Roy, Tian, Lu, Zhao, Yihua, Chen, Yong, van der Laan, Mark, Nie, Lei
Real-world data (RWD) and real-world evidence (RWE) have been increasingly used in medical product development and regulatory decision-making, especially for rare diseases. After outlining the challenges and possible strategies to address the challen
Externí odkaz:
http://arxiv.org/abs/2410.06586
Autor:
Chen, Jie, Nie, Lei, Lee, Shiowjen, Chu, Haitao, Tian, Haijun, Wang, Yan, He, Weili, Jemielita, Thomas, Gruber, Susan, Song, Yang, Tamura, Roy, Tian, Lu, Zhao, Yihua, Chen, Yong, van der Laan, Mark, Lee, Hana
Developing drugs for rare diseases presents unique challenges from a statistical perspective. These challenges may include slowly progressive diseases with unmet medical needs, poorly understood natural history, small population size, diversified phe
Externí odkaz:
http://arxiv.org/abs/2410.06585