Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Li, Yewen"'
Autor:
Li, Yewen, Wang, Chaojie, Xia, Xiaobo, He, Xu, An, Ruyi, Li, Dong, Liu, Tongliang, An, Bo, Wang, Xinrun
Unsupervised out-of-distribution (U-OOD) detection is to identify OOD data samples with a detector trained solely on unlabeled in-distribution (ID) data. The likelihood function estimated by a deep generative model (DGM) could be a natural detector,
Externí odkaz:
http://arxiv.org/abs/2409.03801
Autor:
Tan, Weihao, Zhang, Wentao, Xu, Xinrun, Xia, Haochong, Ding, Ziluo, Li, Boyu, Zhou, Bohan, Yue, Junpeng, Jiang, Jiechuan, Li, Yewen, An, Ruyi, Qin, Molei, Zong, Chuqiao, Zheng, Longtao, Wu, Yujie, Chai, Xiaoqiang, Bi, Yifei, Xie, Tianbao, Gu, Pengjie, Li, Xiyun, Zhang, Ceyao, Tian, Long, Wang, Chaojie, Wang, Xinrun, Karlsson, Börje F., An, Bo, Yan, Shuicheng, Lu, Zongqing
Despite the success in specific scenarios, existing foundation agents still struggle to generalize across various virtual scenarios, mainly due to the dramatically different encapsulations of environments with manually designed observation and action
Externí odkaz:
http://arxiv.org/abs/2403.03186
Autor:
Wang, Benquan, An, Ruyi, Chan, Eng Aik, Adamo, Giorgio, So, Jin-Kyu, Li, Yewen, Shen, Zexiang, An, Bo, Zheludev, Nikolay I.
Distinguishing two objects or point sources located closer than the Rayleigh distance is impossible in conventional microscopy. Understandably, the task becomes increasingly harder with a growing number of particles placed in close proximity. It has
Externí odkaz:
http://arxiv.org/abs/2311.10441
Human motion prediction is a classical problem in computer vision and computer graphics, which has a wide range of practical applications. Previous effects achieve great empirical performance based on an encoding-decoding style. The methods of this s
Externí odkaz:
http://arxiv.org/abs/2302.03665
Pluralistic image completion focuses on generating both visually realistic and diverse results for image completion. Prior methods enjoy the empirical successes of this task. However, their used constraints for pluralistic image completion are argued
Externí odkaz:
http://arxiv.org/abs/2205.09086
Publikováno v:
In Journal of Energy Storage 20 October 2024 100 Part B
Publikováno v:
In Journal of Energy Chemistry July 2024 94:635-645
Autor:
Duan, Zhibin, Wang, Dongsheng, Chen, Bo, Wang, Chaojie, Chen, Wenchao, Li, Yewen, Ren, Jie, Zhou, Mingyuan
Hierarchical topic models such as the gamma belief network (GBN) have delivered promising results in mining multi-layer document representations and discovering interpretable topic taxonomies. However, they often assume in the prior that the topics a
Externí odkaz:
http://arxiv.org/abs/2107.02757
Deep reinforcement learning (DRL) has successfully solved various problems recently, typically with a unimodal policy representation. However, grasping distinguishable skills for some tasks with non-unique optima can be essential for further improvin
Externí odkaz:
http://arxiv.org/abs/2104.09122
Publikováno v:
In Chemical Engineering Journal 15 November 2023 476