Zobrazeno 1 - 10
of 777 080
pro vyhledávání: '"Na BY"'
Autor:
Jiang, Long, Xu, Kun, Zha, Shuai, Guo, Yun-Lang, Yuan, Jian-Ping, Qian, Xiang-Li, Chen, Wen-Cong, Wang, Na
The double neutron star PSR J1846-0513 is discovered by the Five-hundred-meter Aperture Spherical radio Telescope (FAST) in Commensal Radio Astronomy FAST Survey. The pulsar is revealed to be harbored in an eccentric orbit with $e=0.208$ and orbital
Externí odkaz:
http://arxiv.org/abs/2411.00513
Autor:
Liu, Qi, Zheng, Kai, Huang, Rui, Li, Wuchao, Cai, Kuo, Chai, Yuan, Niu, Yanan, Hui, Yiqun, Han, Bing, Mou, Na, Wang, Hongning, Bao, Wentian, Yu, Yunen, Zhou, Guorui, Li, Han, Song, Yang, Lian, Defu, Gai, Kun
Industrial recommendation systems (RS) rely on the multi-stage pipeline to balance effectiveness and efficiency when delivering items from a vast corpus to users. Existing RS benchmark datasets primarily focus on the exposure space, where novel RS al
Externí odkaz:
http://arxiv.org/abs/2410.20868
While inorganic retrosynthesis planning is essential in the field of chemical science, the application of machine learning in this area has been notably less explored compared to organic retrosynthesis planning. In this paper, we propose Retrieval-Re
Externí odkaz:
http://arxiv.org/abs/2410.21341
Publikováno v:
2024 J. Phys. A: Math. Theor. 57 455208
Coherence is a fundamental resource in quantum information processing, which can be certified by a coherence witness. In order to detect all the coherent states, we introduce a useful concept of coherence witness and structure the set of coherence wi
Externí odkaz:
http://arxiv.org/abs/2410.20023
With the rapid advancement of autonomous driving technology, efficient and accurate object detection capabilities have become crucial factors in ensuring the safety and reliability of autonomous driving systems. However, in low-visibility environment
Externí odkaz:
http://arxiv.org/abs/2410.17734
To address deviations from expected performance in stochastic systems, we propose a risk-sensitive control synthesis method to minimize certain risk measures over the limiting stationary distribution. Specifically, we extend Worst-case Conditional Va
Externí odkaz:
http://arxiv.org/abs/2410.17581
Off-policy evaluation (OPE) is one of the most fundamental problems in reinforcement learning (RL) to estimate the expected long-term payoff of a given target policy with only experiences from another behavior policy that is potentially unknown. The
Externí odkaz:
http://arxiv.org/abs/2410.17538
We used off-the-shelf interpretable ML techniques to combine information from multiple heterogeneous spectra: X-ray absorption near-edge spectra (XANES) and atomic pair distribution functions (PDFs), to extract information about local structure and c
Externí odkaz:
http://arxiv.org/abs/2410.17467
Network Markov Decision Processes (MDPs), a popular model for multi-agent control, pose a significant challenge to efficient learning due to the exponential growth of the global state-action space with the number of agents. In this work, utilizing th
Externí odkaz:
http://arxiv.org/abs/2410.17221
Autor:
Hewitt, Danté M., Bhardwaj, Mohit, Gordon, Alexa C., Kirichenko, Aida, Nimmo, Kenzie, Bhandari, Shivani, Cognard, Ismaël, Fong, Wen-fai, de Paz, Armando Gil, Gopinath, Akshatha, Hessels, Jason W. T., Kirsten, Franz, Marcote, Benito, Bezrukovs, Vladislavs, Blaauw, Richard, Bray, Justin D., Buttaccio, Salvatore, Cassanelli, Tomas, Chawla, Pragya, Corongiu, Alessandro, Deng, William, Didehbani, Hannah N., Dong, Yuxin, Gawroński, Marcin P., Giroletti, Marcello, Guillemot, Lucas, Huang, Jeff, Joseph, Ronniy C., Kaspi, Victoria M., Lazda, Mattias, Lindqvist, Michael, Giuseppe, Maccaferri, Mas-Ribas, Lluis, Masui, Kiyoshi W., Mckinven, Ryan, Michilli, Daniele, Nugent, Anya E., Ould-Boukattine, Omar S., Paragi, Zsolt, Pearlman, Aaron B., Pen, Ue-Li, Pleunis, Ziggy, Sand, Ketan R., Shah, Vishwangi, Shin, Kaitlyn, Snelders, Mark P., Venturi, Tiziana, Wang, Na, Williams-Baldwin, David R. A., Yang, Jun, Yuan, Jianping P.
We present the localization and host galaxy of FRB 20190208A, a repeating source of fast radio bursts (FRBs) discovered using CHIME/FRB. As part of the PRECISE repeater localization program on the EVN, we monitored FRB 20190208A for 65.6 hours at $\s
Externí odkaz:
http://arxiv.org/abs/2410.17044