Zobrazeno 1 - 10
of 122 785
pro vyhledávání: '"CHEN, YU"'
Autor:
Shao, Jinsong, Gong, Qineng, Yin, Zeyu, Chen, Yu, Hao, Yajie, Zhang, Lei, Jiang, Linlin, Yao, Min, Li, Jinlong, Wang, Fubo, Wang, Li
The imperfect modeling of ternary complexes has limited the application of computer-aided drug discovery tools in PROTAC research and development. In this study, an AI-assisted approach for PROTAC molecule design pipeline named LM-PROTAC was develope
Externí odkaz:
http://arxiv.org/abs/2412.09661
Multimodal incremental learning needs to digest the information from multiple modalities while concurrently learning new knowledge without forgetting the previously learned information. There are numerous challenges for this task, mainly including th
Externí odkaz:
http://arxiv.org/abs/2412.09549
In this paper, we introduce Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning (Dist-QTRL), a novel approach to addressing the scalability challenges of traditional Reinforcement Learning (RL) by integrating quantum computing principl
Externí odkaz:
http://arxiv.org/abs/2412.08845
This study establishes the consistency of Bayesian adaptive testing methods under the Rasch model, addressing a gap in the literature on their large-sample guarantees. Although Bayesian approaches are recognized for their finite-sample performance an
Externí odkaz:
http://arxiv.org/abs/2412.07170
Ridesharing services play an essential role in modern transportation, which significantly reduces traffic congestion and exhaust pollution. In the ridesharing problem, improving the sharing rate between riders can not only save the travel cost of dri
Externí odkaz:
http://arxiv.org/abs/2412.06335
Conventional electromagnetic induction-based current transformers suffer from issues such as bulky and complex structures, slow response times, and low safety levels. Consequently, researchers have explored combining various sensing technologies with
Externí odkaz:
http://arxiv.org/abs/2412.06282
Autor:
Jia, Qi, Benally, Onri J., Zink, Brandon, Zhang, Delin, Lv, Yang, Liang, Shuang, Lyu, Deyuan, Chen, Yu-Chia, Yang, Yifei, Huang, Yu Han, Wang, Jian-Ping
Superparamagnetic tunnel junctions (sMTJs) are emerging as promising components for stochastic units in neuromorphic computing, owing to their tunable random switching behavior. Conventional MTJ control methods, such as spin-transfer torque (STT) and
Externí odkaz:
http://arxiv.org/abs/2412.06256
In this study, the Quantum-Train Quantum Fast Weight Programmer (QT-QFWP) framework is proposed, which facilitates the efficient and scalable programming of variational quantum circuits (VQCs) by leveraging quantum-driven parameter updates for the cl
Externí odkaz:
http://arxiv.org/abs/2412.01173
Statistics of excitations play an essential role in understanding phases of matter. In this paper, we introduce a universal method for studying the generalized statistics of Abelian particles and extended excitations in lattices of any dimension. We
Externí odkaz:
http://arxiv.org/abs/2412.01886
Autor:
Chen, Justin Chih-Yao, Wang, Zifeng, Palangi, Hamid, Han, Rujun, Ebrahimi, Sayna, Le, Long, Perot, Vincent, Mishra, Swaroop, Bansal, Mohit, Lee, Chen-Yu, Pfister, Tomas
Reverse thinking plays a crucial role in human reasoning. Humans can reason not only from a problem to a solution but also in reverse, i.e., start from the solution and reason towards the problem. This often enhances overall reasoning performance as
Externí odkaz:
http://arxiv.org/abs/2411.19865