Kavli Affiliate: Luis C. Ho | First 5 Authors: Wancheng Xu, Lang Cui, Xiang Liu, Tao An, Hongmin Cao | Summary: It is believed that dual active galactic nuclei (dual AGN) will form during galaxies merge. Studying dual-AGN emission can provide valuable insights into galaxy merging and evolution. To investigate parsec-scale radio emission properties, we […]
Kavli Affiliate: Misao Sasaki | First 5 Authors: Teppei Okumura, Misao Sasaki, , , | Summary: Gravitational waves (GWs) may be produced by various mechanisms in the early universe. In particular, if parity is violated, it may lead to the production of parity-violating GWs. In this paper, we focus on GWs on the scale of […]
Kavli Affiliate: Misao Sasaki | First 5 Authors: Teppei Okumura, Misao Sasaki, , , | Summary: Gravitational waves (GWs) may be produced by various mechanisms in the early universe. In particular, if parity is violated, it may lead to the production of parity-violating GWs. In this paper, we focus on GWs on the scale of […]
Kavli Affiliate: Linhua Jiang | First 5 Authors: Maria Pudoka, Feige Wang, Xiaohui Fan, Jinyi Yang, Jaclyn Champagne | Summary: We study the environment of the z=6.33 ultraluminous quasar SDSS J010013.02+280225.8 (J0100) to understand its association with large-scale structure. Theoretical models propose high-redshift quasars as markers of galaxy overdensities residing in the most massive dark […]
Kavli Affiliate: Roberto Maiolino | First 5 Authors: Pablo G. Pérez-González, Francesco D`Eugenio, Bruno Rodríguez del Pino, Hannah Übler, Roberto Maiolino | Summary: Feedback is the key physical mechanism regulating galaxy formation. Stars in galaxies form when baryons radiatively cool down and fall into gravitational wells. Eventually, star formation quenches as gas is depleted and/or […]
Kavli Affiliate: Jia Liu | First 5 Authors: Tianchen Zhou, FNU Hairi, Haibo Yang, Jia Liu, Tian Tong | Summary: Reinforcement learning with multiple, potentially conflicting objectives is pervasive in real-world applications, while this problem remains theoretically under-explored. This paper tackles the multi-objective reinforcement learning (MORL) problem and introduces an innovative actor-critic algorithm named MOAC […]
Kavli Affiliate: Jia Liu | First 5 Authors: Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu | Summary: Existing works in federated learning (FL) often assume an ideal system with either full client or uniformly distributed client participation. However, in practice, it has been observed that some clients may never participate in FL […]
Kavli Affiliate: Jia Liu | First 5 Authors: Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu | Summary: Existing works in federated learning (FL) often assume an ideal system with either full client or uniformly distributed client participation. However, in practice, it has been observed that some clients may never participate in FL […]
Kavli Affiliate: Ran Wang | First 5 Authors: Yuheng Jia, Jia-Nan Li, Wenhui Wu, Ran Wang, | Summary: Semi-supervised symmetric non-negative matrix factorization (SNMF) utilizes the available supervisory information (usually in the form of pairwise constraints) to improve the clustering ability of SNMF. The previous methods introduce the pairwise constraints from the local perspective, i.e., […]
Kavli Affiliate: Ran Wang | First 5 Authors: Yuheng Jia, Jia-Nan Li, Wenhui Wu, Ran Wang, | Summary: Semi-supervised symmetric non-negative matrix factorization (SNMF) utilizes the available supervisory information (usually in the form of pairwise constraints) to improve the clustering ability of SNMF. The previous methods introduce the pairwise constraints from the local perspective, i.e., […]