Zobrazeno 1 - 10
of 474
pro vyhledávání: '"HUANG Liwei"'
In this paper we study a principal-agent problem in continuous time with multiple lump-sum payments (contracts) paid at different deterministic times. We reduce the non-zero sum Stackelberg game between the principal and agent to a standard stochasti
Externí odkaz:
http://arxiv.org/abs/2411.04262
Seeking high-quality representations with latent variable models (LVMs) to reveal the intrinsic correlation between neural activity and behavior or sensory stimuli has attracted much interest. Most work has focused on analyzing motor neural activity
Externí odkaz:
http://arxiv.org/abs/2408.07908
Autor:
Yu, Liutao, Huang, Liwei, Zhou, Chenlin, Zhang, Han, Ma, Zhengyu, Zhou, Huihui, Tian, Yonghong
Video action recognition (VAR) plays crucial roles in various domains such as surveillance, healthcare, and industrial automation, making it highly significant for the society. Consequently, it has long been a research spot in the computer vision fie
Externí odkaz:
http://arxiv.org/abs/2406.15034
Autor:
Zhou, Chenlin, Zhang, Han, Yu, Liutao, Ye, Yumin, Zhou, Zhaokun, Huang, Liwei, Ma, Zhengyu, Fan, Xiaopeng, Zhou, Huihui, Tian, Yonghong
Spiking neural networks (SNNs) offer a promising energy-efficient alternative to artificial neural networks (ANNs), in virtue of their high biological plausibility, rich spatial-temporal dynamics, and event-driven computation. The direct training alg
Externí odkaz:
http://arxiv.org/abs/2405.04289
Autor:
Zhou, Chenlin, Zhang, Han, Zhou, Zhaokun, Yu, Liutao, Huang, Liwei, Fan, Xiaopeng, Yuan, Li, Ma, Zhengyu, Zhou, Huihui, Tian, Yonghong
Spiking Transformers, which integrate Spiking Neural Networks (SNNs) with Transformer architectures, have attracted significant attention due to their potential for energy efficiency and high performance. However, existing models in this domain still
Externí odkaz:
http://arxiv.org/abs/2403.16552
Autor:
Fang, Wei, Chen, Yanqi, Ding, Jianhao, Yu, Zhaofei, Masquelier, Timothée, Chen, Ding, Huang, Liwei, Zhou, Huihui, Li, Guoqi, Tian, Yonghong
Spiking neural networks (SNNs) aim to realize brain-inspired intelligence on neuromorphic chips with high energy efficiency by introducing neural dynamics and spike properties. As the emerging spiking deep learning paradigm attracts increasing intere
Externí odkaz:
http://arxiv.org/abs/2310.16620
Deep neural networks (DNNs) are widely used models for investigating biological visual representations. However, existing DNNs are mostly designed to analyze neural responses to static images, relying on feedforward structures and lacking physiologic
Externí odkaz:
http://arxiv.org/abs/2306.01354
Deep artificial neural networks (ANNs) play a major role in modeling the visual pathways of primate and rodent. However, they highly simplify the computational properties of neurons compared to their biological counterparts. Instead, Spiking Neural N
Externí odkaz:
http://arxiv.org/abs/2303.06060
Publikováno v:
In Process Safety and Environmental Protection November 2024 191 Part B:2007-2012
Publikováno v:
In Journal of Dentistry February 2025 153