Zobrazeno 1 - 10
of 18 521
pro vyhledávání: '"CHEN, Ke"'
Autor:
Ebrahimi, Claudia, Garbusow, Maria, Sebold, Miriam, Chen, Ke, Smolka, Michael N., Huys, Quentin J.M., Zimmermann, Ulrich S., Schlagenhauf, Florian, Heinz, Andreas
Background: Contemporary learning theories of drug addiction ascribe a key role to Pavlovian learning mechanisms in the development, maintenance, and relapse of addiction. In fact, cue-reactivity research has demonstrated the power of alcohol-associa
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A94354
https://tud.qucosa.de/api/qucosa%3A94354/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A94354/attachment/ATT-0/
Publikováno v:
Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI2025)
Offline preference-based reinforcement learning (PbRL) typically operates in two phases: first, use human preferences to learn a reward model and annotate rewards for a reward-free offline dataset; second, learn a policy by optimizing the learned rew
Externí odkaz:
http://arxiv.org/abs/2412.09104
Autor:
Zhong, Zi-Rui, Su, Xia-Lin, Hu, Xiang-Ming, Chen, Ke-Xuan, Xu, Hui-Lin, Zhang, Yan, Wu, Qing-Lin
Postselected weak measurement has shown significant potential for detecting small physical effects due to its unique weak-value-amplification phenomenon. Previous works suggest that Heisenberg-limit precision can be attained using only the optical co
Externí odkaz:
http://arxiv.org/abs/2412.04838
Over the recent years, Shapley value (SV), a solution concept from cooperative game theory, has found numerous applications in data analytics (DA). This paper provides the first comprehensive study of SV used throughout the DA workflow, which involve
Externí odkaz:
http://arxiv.org/abs/2412.01460
Autor:
Li, Ziqian, Chen, Ke, Wang, Xudong, Luo, Kan, Lei, Lei, Li, Mian, Liang, Kun, Wang, Degao, Du, Shiyu, Chai, Zhifang, Huang, Qing
Two-dimensional transition metal carbides and nitrides (MXenes) have gained popularity in fields such as energy storage, catalysis, and electromagnetic interference due to their diverse elemental compositions and variable surface terminations (T). Ge
Externí odkaz:
http://arxiv.org/abs/2412.02157
We have investigated terahertz (THz) nonlinear responses in a multi-gap superconductor, MgB$_2$, using THz two-dimensional coherent spectroscopy (THz 2DCS). With broad-band THz drives, we identified a well-defined nonlinear response near the lower su
Externí odkaz:
http://arxiv.org/abs/2411.10852
In the digital age, users store personal data in corporate databases, making data security central to enterprise management. Given the extensive attack surface, assets face challenges like weak authentication, vulnerabilities, and malware. Attackers
Externí odkaz:
http://arxiv.org/abs/2411.06172
Autor:
Deng, Jinqiu, Chen, Ke, Li, Mingke, Zhang, Daoping, Chen, Chong, Frangi, Alejandro F., Zhang, Jianping
Diffeomorphic image registration is crucial for various medical imaging applications because it can preserve the topology of the transformation. This study introduces DCCNN-LSTM-Reg, a learning framework that evolves dynamically and learns a symmetri
Externí odkaz:
http://arxiv.org/abs/2411.02888
In this paper, we establish local well-posedness results for the Muskat equation in any dimension using modulus of continuity techniques. By introducing a novel quantity \(\beta_\sigma(f_0')\) which encapsulates local monotonicity and slope, we ident
Externí odkaz:
http://arxiv.org/abs/2411.01501
Deep-learning methods have shown promising performance for low-dose computed tomography (LDCT) reconstruction. However, supervised methods face the problem of lacking labeled data in clinical scenarios, and the CNN-based unsupervised denoising method
Externí odkaz:
http://arxiv.org/abs/2410.17543