Kavli Affiliate: Fukun Liu | First 5 Authors: Fukun Liu, Chunyang Cao, Marek A. Abramowicz, Maciek Wielgus, Rong Cao | Summary: Elliptical accretion disk models for tidal disruption events (TDEs) have been recently proposed and independently developed by two groups. Although these two models are characterized by a similar geometry, their physical properties differ considerably. […]
Kavli Affiliate: Qingjuan Yu | First 5 Authors: Qingjuan Yu, , , , | Summary: This is an invited commentary on the Nobel Prize in Physics 2020 which was awarded to Roger Penrose "for the discovery that black hole formation is a robust prediction of the general theory of relativity," and Reinhard Genzel and Andrea […]
Kavli Affiliate: Qingjuan Yu | First 5 Authors: Yunfeng Chen, Qingjuan Yu, Youjun Lu, , | Summary: Stars can be consumed (either tidally disrupted or swallowed whole) by massive black holes (MBHs) at galactic centers when they move into the vicinity of the MBHs. In this study, we investigate the rates of stellar consumption by […]
Kavli Affiliate: Rainer Spurzem | First 5 Authors: Qi Shu, Xiaoying Pang, Francesco Flammini Dotti, M. B. N. Kouwenhoven, Manuel Arca Sedda | Summary: We present a comprehensive investigation of main-sequence (MS) binaries in the DRAGON simulations, which are the first one-million particles direct $N$-body simulations of globular clusters. We analyse the orbital parameters of […]
Kavli Affiliate: Ran Wang | First 5 Authors: Haojing Shen, Sihong Chen, Ran Wang, Xizhao Wang, | Summary: In this paper, we propose a defence strategy to improve adversarial robustness by incorporating hidden layer representation. The key of this defence strategy aims to compress or filter input information including adversarial perturbation. And this defence strategy […]
Kavli Affiliate: Ran Wang | First 5 Authors: Raman Goyal, Suman Chakravorty, Ran Wang, Mohamed Naveed Gul Mohamed, | Summary: We consider the problem of Reinforcement Learning for nonlinear stochastic dynamical systems. We show that in the RL setting, there is an inherent “Curse of Variance" in addition to Bellman’s infamous “Curse of Dimensionality", in […]
Kavli Affiliate: Rainer Spurzem | First 5 Authors: Shiyan Zhong, Kimitake Hayasaki, Shuo Li, Peter Berczik, Rainer Spurzem | Summary: Tidal disruption events (TDEs) probe properties of supermassive black holes (SMBHs), their accretion disks, and the surrounding nuclear stellar cluster. Light curves of TDEs are related to orbital properties of stars falling SMBHs. We study […]
Kavli Affiliate: Rainer Spurzem | First 5 Authors: Shiyan Zhong, Kimitake Hayasaki, Shuo Li, Peter Berczik, Rainer Spurzem | Summary: Tidal disruption events (TDEs) provide a clue to the properties of a central supermassive black hole (SMBH) and an accretion disk around it, and to the stellar density and velocity distributions in the nuclear star […]
Kavli Affiliate: Jiansheng Chen | First 5 Authors: Weitao Wan, Jiansheng Chen, Cheng Yu, Tong Wu, Yuanyi Zhong | Summary: The softmax cross-entropy loss function has been widely used to train deep models for various tasks. In this work, we propose a Gaussian mixture (GM) loss function for deep neural networks for visual classification. Unlike […]
Kavli Affiliate: Ran Wang | First 5 Authors: Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang | Summary: Generalized zero-shot learning (GZSL) aims to train a model for classifying data samples under the condition that some output classes are unknown during supervised learning. To address this challenging task, GZSL leverages semantic information of […]