Kavli Affiliate: Luis C. Ho | First 5 Authors: Xiao Cao, Yan-Mei Chen, Yong Shi, Junfeng Wang, Zhi-Jie Zhou | Summary: Dual active galactic nuclei (AGNs) with comparable masses are commonly witnessed among the major merged galaxies with interaction remnants. Considering almost every massive galaxy is associated with multiple dwarf satellites around it, minor mergers […]
Kavli Affiliate: Jing Wang | First 5 Authors: Chao Chen, Shu-Tian Xue, Yu-Peng Shi, Jing Wang, Zi-Mo Cheng | Summary: The Hong-Ou-Mandel effect is a paradigmatic quantum phenomenon demonstrating the interference of two indistinguishable photons that are linearly coupled at a 50:50 beam splitter. Here, we transpose such a two-particle quantum interference effect to the […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Zeyu Wang, Yao-Hui Li, Xin Li, Hongyu Zang, Romain Laroche | Summary: Multi-View Reinforcement Learning (MVRL) seeks to provide agents with multi-view observations, enabling them to perceive environment with greater effectiveness and precision. Recent advancements in MVRL focus on extracting latent representations from multiview observations and […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Zeyu Wang, Yao-Hui Li, Xin Li, Hongyu Zang, Romain Laroche | Summary: Multi-View Reinforcement Learning (MVRL) seeks to provide agents with multi-view observations, enabling them to perceive environment with greater effectiveness and precision. Recent advancements in MVRL focus on extracting latent representations from multiview observations and […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Zeyu Wang, Yao-Hui Li, Xin Li, Hongyu Zang, Romain Laroche | Summary: Multi-View Reinforcement Learning (MVRL) seeks to provide agents with multi-view observations, enabling them to perceive environment with greater effectiveness and precision. Recent advancements in MVRL focus on extracting latent representations from multiview observations and […]
Kavli Affiliate: Lijing Shao | First 5 Authors: Yiming Dong, Ziming Wang, Hai-Tian Wang, Junjie Zhao, Lijing Shao | Summary: Gravitational-wave (GW) ringdown signals from black holes (BHs) encode crucial information about the gravitational dynamics in the strong-field regime, which offers unique insights into BH properties. In the future, the improving sensitivity of GW detectors […]
Kavli Affiliate: Ke Wang | First 5 Authors: Fengyun Ren, Shumin Zhang, Ke Wang, , | Summary: The ${K_{1,1}, K_{1,2},C_m: mgeq3}$-factor of a graph is a spanning subgraph whose each component is an element of ${K_{1,1}, K_{1,2},C_m: mgeq3}$. In this paper, through the graph spectral methods, we establish the lower bound of the signless Laplacian […]
Kavli Affiliate: Claudio Ricci | First 5 Authors: Grant P. Donnelly, Thomas S. -Y. Lai, Lee Armus, Tanio Díaz-Santos, Kirsten L. Larson | Summary: We introduce a prescription for estimating the flux of the 7.7 micron and 11.3 micron polycyclic aromatic hydrocarbon (PAH) features from broadband JWST/MIRI images. Probing PAH flux with MIRI imaging data […]
Kavli Affiliate: Ke Wang | First 5 Authors: Lehao Lin, Ke Wang, Maha Abdallah, Wei Cai, | Summary: In recent years, the rapid development of artificial intelligence (AI) especially multi-modal Large Language Models (MLLMs), has enabled it to understand text, images, videos, and other multimedia data, allowing AI systems to execute various tasks based on […]
Kavli Affiliate: Jing Wang | First 5 Authors: Zixue Zeng, Xiaoyan Zhao, Matthew Cartier, Tong Yu, Jing Wang | Summary: We introduce a novel segmentation-aware joint training framework called generative reinforcement network (GRN) that integrates segmentation loss feedback to optimize both image generation and segmentation performance in a single stage. An image enhancement technique called […]