Kavli Affiliate: Simon Groblacher | First 5 Authors: Alexander Rolf Korsch, Niccolò Fiaschi, Simon Gröblacher, , | Summary: In recent years, nanomechanical oscillators in thin films of superfluid helium have attracted attention in the field of optomechanics due to their exceptionally low mechanical dissipation and optical scattering. Mechanical excitations in superfluid thin films – so-called […]
Kavli Affiliate: Feng Yuan | First 5 Authors: Limin Jiang, Yi Shi, Haiqin Hu, Qingyu Deng, Siyi Xu | Summary: Wireless baseband processing (WBP) is a key element of wireless communications, with a series of signal processing modules to improve data throughput and counter channel fading. Conventional hardware solutions, such as digital signal processors (DSPs) […]
Kavli Affiliate: Luis C. Ho | First 5 Authors: Yijun Wang, Tao Wang, Luis C. Ho, Yuxing Zhong, Bin Luo | Summary: The fundamental plane of back hole activity (BHFP) describes the correlation between radio luminosity ($L_R$), X-ray luminosity ($L_X$), and black hole mass ($M_{BH}$). It reflects a connection between accretion disc and jet. However, […]
Kavli Affiliate: Roberto Maiolino | First 5 Authors: Seunghwan Lim, Sandro Tacchella, Joop Schaye, Matthieu Schaller, Jakob M. Helton | Summary: Motivated by the recent JWST discovery of galaxy overdensities during the Epoch of Reionzation, we examine the physical properties of high-$z$ protoclusters and their evolution using the FLAMINGO simulation suite. We investigate the impact […]
Kavli Affiliate: Roberto Maiolino | First 5 Authors: Seunghwan Lim, Sandro Tacchella, Joop Schaye, Matthieu Schaller, Jakob M. Helton | Summary: Motivated by the recent JWST discovery of galaxy overdensities during the Epoch of Reionzation, we examine the physical properties of high-$z$ protoclusters and their evolution using the FLAMINGO simulation suite. We investigate the impact […]
Kavli Affiliate: Jing Wang | First 5 Authors: Panqi Jia, A. Burakhan Koyuncu, Jue Mao, Ze Cui, Yi Ma | Summary: The research on neural network (NN) based image compression has shown superior performance compared to classical compression frameworks. Unlike the hand-engineered transforms in the classical frameworks, NN-based models learn the non-linear transforms providing more […]
Kavli Affiliate: Ting Xu | First 5 Authors: Yanghao Su, Jie Zhang, Ting Xu, Tianwei Zhang, Weiming Zhang | Summary: Backdoor attacks pose a significant security vulnerability for deep neural networks (DNNs), enabling them to operate normally on clean inputs but manipulate predictions when specific trigger patterns occur. Currently, post-training backdoor detection approaches often operate […]
Kavli Affiliate: Ting Xu | First 5 Authors: Yanghao Su, Jie Zhang, Ting Xu, Tianwei Zhang, Weiming Zhang | Summary: Deep neural networks (DNNs) have revolutionized various industries, leading to the rise of Machine Learning as a Service (MLaaS). In this paradigm, well-trained models are typically deployed through APIs. However, DNNs are susceptible to backdoor […]
Kavli Affiliate: Xian Chen | First 5 Authors: Shun-Jia Huang, En-Kun Li, Jian-dong Zhang, Xian Chen, Zucheng Gao | Summary: The cosmic distance duality relation (CDDR), expressed as DL(z) = (1 + z)2DA(z), plays an important role in modern cosmology. In this paper, we propose a new method of testing CDDR using strongly lensed gravitational […]
Kavli Affiliate: Leon Balents | First 5 Authors: Léo Mangeolle, Lucile Savary, Leon Balents, , | Summary: We systematically derive the quantum kinetic equation in full phase space for any quadratic hamiltonian of bosonic fields, including in the absence of translational invariance. This enables the treatment of boundaries, inhomogeneous systems and states with non-trivial textures, […]