Zobrazeno 1 - 10
of 67 841
pro vyhledávání: '"A. Tay"'
Distributed ledgers are common in the industry. Some of them can use blockchains as their underlying infrastructure. A blockchain requires participants to agree on its contents. This can be achieved via a consensus protocol, and several BFT (Byzantin
Externí odkaz:
http://arxiv.org/abs/2411.07622
Autor:
Zhao, Kai, Li, Xuhao, Kang, Qiyu, Ji, Feng, Ding, Qinxu, Zhao, Yanan, Liang, Wenfei, Tay, Wee Peng
We introduce the Distributed-order fRActional Graph Operating Network (DRAGON), a novel continuous Graph Neural Network (GNN) framework that incorporates distributed-order fractional calculus. Unlike traditional continuous GNNs that utilize integer-o
Externí odkaz:
http://arxiv.org/abs/2411.05274
Autor:
Tay, Fuyang, Sanders, Stephen, Baydin, Andrey, Song, Zhigang, Welakuh, Davis M., Alabastri, Alessandro, Rokaj, Vasil, Dag, Ceren B., Kono, Junichiro
Strong coupling between matter and vacuum electromagnetic fields in a cavity can induce novel quantum phases in thermal equilibrium via symmetry breaking. Particularly, coupling with circularly polarized fields can break time-reversal symmetry, leadi
Externí odkaz:
http://arxiv.org/abs/2410.21171
Autor:
Hickman, Louis, Huynh, Christopher, Gass, Jessica, Booth, Brandon, Kuruzovich, Jason, Tay, Louis
Machine learning (ML) models are increasingly used for personnel assessment and selection (e.g., resume screeners, automatically scored interviews). However, concerns have been raised throughout society that ML assessments may be biased and perpetuat
Externí odkaz:
http://arxiv.org/abs/2410.19003
Place recognition plays a crucial role in the fields of robotics and computer vision, finding applications in areas such as autonomous driving, mapping, and localization. Place recognition identifies a place using query sensor data and a known databa
Externí odkaz:
http://arxiv.org/abs/2410.04939
Autor:
Kritzell, T. Elijah, Doumani, Jacques, Asano, Tobias, Yamada, Sota, Tay, Fuyang, Xu, Hongjing, Yan, Han, Katayama, Ikufumi, Takeda, Jun, Nevidomskyy, Andriy, Nojiri, Hiroyuki, Bamba, Motoaki, Baydin, Andrey, Kono, Junichiro
The interaction of an ensemble of two-level atoms and a quantized electromagnetic field, described by the Dicke Hamiltonian, is an extensively studied problem in quantum optics. However, experimental efforts to explore similar physics in condensed ma
Externí odkaz:
http://arxiv.org/abs/2409.17339
Autor:
Kim, Dasom, Hou, Jin, Lee, Geon, Agrawal, Ayush, Kim, Sunghwan, Zhang, Hao, Bao, Di, Baydin, Andrey, Wu, Wenjing, Tay, Fuyang, Huang, Shengxi, Chia, Elbert E. M., Kim, Dai-Sik, Seo, Minah, Mohite, Aditya D., Hagenmüller, David, Kono, Junichiro
Phonons, or vibrational quanta, are behind some of the most fundamental physical phenomena in solids, including superconductivity, Raman processes, and broken-symmetry phases. It is therefore of fundamental importance to find ways to harness phonons
Externí odkaz:
http://arxiv.org/abs/2409.04505
We introduce a novel uncertainty principle for generalized graph signals that extends classical time-frequency and graph uncertainty principles into a unified framework. By defining joint vertex-time and spectral-frequency spreads, we quantify signal
Externí odkaz:
http://arxiv.org/abs/2409.04229
Autor:
Yang, Xian P., Yao, Yueh-Ting, Zheng, Pengyu, Guan, Shuyue, Zhou, Huibin, Cochran, Tyler A., Lin, Che-Min, Yin, Jia-Xin, Zhou, Xiaoting, Cheng, Zi-Jia, Li, Zhaohu, Shi, Tong, Hossain, Md Shafayat, Chi, Shengwei, Belopolski, Ilya, Jiang, Yu-Xiao, Litskevich, Maksim, Xu, Gang, Tian, Zhaoming, Bansil, Arun, Yin, Zhiping, Jia, Shuang, Chang, Tay-Rong, Hasan, M. Zahid
Publikováno v:
Nature Communications volume 15, Article number: 7052 (2024)
The interplay of topology, magnetism, and correlations gives rise to intriguing phases of matter. In this study, through state-of-the-art angle-resolved photoemission spectroscopy, density functional theory and dynamical mean-field theory calculation
Externí odkaz:
http://arxiv.org/abs/2408.08394
We consider a multiple hypothesis testing problem in a sensor network over the joint spatial-time domain. The sensor network is modeled as a graph, with each vertex representing a sensor and a signal over time associated with each vertex. We assume a
Externí odkaz:
http://arxiv.org/abs/2408.03142