Kavli Affiliate: Max Tegmark | First 5 Authors: Ziqian Zhong, Ziming Liu, Max Tegmark, Jacob Andreas, | Summary: Do neural networks, trained on well-understood algorithmic tasks, reliably rediscover known algorithms for solving those tasks? Several recent studies, on tasks ranging from group arithmetic to in-context linear regression, have suggested that the answer is yes. Using […]
Kavli Affiliate: Bo Gu | First 5 Authors: Xin-Wei Yi, Zheng-Wei Liao, Jing-Yang You, Bo Gu, Gang Su | Summary: The recently discovered ATi$_3$Bi$_5$ (A=Cs, Rb) exhibit intriguing quantum phenomena including superconductivity, electronic nematicity, and abundant topological states, which provide promising platforms for studying kagome superconductivity, band topology, and charge orders. In this work, we […]
Kavli Affiliate: Changhuei Yang | First 5 Authors: Yu Xi Huang, Simon Mahler, Jerome Mertz, Changhuei Yang, | Summary: Diffusing wave spectroscopy (DWS) is a group of techniques used to measure the dynamics of a scattering medium in a non-invasive manner. DWS methods rely on detecting the speckle light field from the moving scattering media […]
Kavli Affiliate: Hu Zhan | First 5 Authors: Leqian Zheng, Lei Xu, Cong Wang, Sheng Wang, Yuke Hu | Summary: Numerous studies have underscored the significant privacy risks associated with various leakage patterns in encrypted data stores. While many solutions have been proposed to mitigate these leakages, they either (1) incur substantial overheads, (2) focus […]
Kavli Affiliate: Hu Zhan | First 5 Authors: Leqian Zheng, Lei Xu, Cong Wang, Sheng Wang, Yuke Hu | Summary: Numerous studies have underscored the significant privacy risks associated with various leakage patterns in encrypted data stores. Most existing systems that conceal leakage either (1) incur substantial overheads, (2) focus on specific subsets of leakage […]
Kavli Affiliate: Toshiyuki Kobayashi | First 5 Authors: Toshiyuki Kobayashi, Michael Pevzner, , , | Summary: Motivated by the classical ideas of generating functions for orthogonal polynomials, we initiate a new line of investigation on "generating operators" for a family of differential operators between two manifolds. We prove a novel formula of the generating operators […]
Kavli Affiliate: Toshiyuki Kobayashi | First 5 Authors: Toshiyuki Kobayashi, Michael Pevzner, , , | Summary: Motivated by the classical ideas of generating functions for orthogonal polynomials, we initiate a new line of investigation on "generating operators" for a family of differential operators between two manifolds. We prove a novel formula of the generating operators […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Zichun Zhou, Chen Ming, Yi-Yang Sun, | Summary: Applications of machine learning techniques in materials science are often based on two key ingredients, a set of empirical descriptors and a database of a particular material property of interest. The advent of graph neural networks, such […]
Kavli Affiliate: Jing Wang | First 5 Authors: Haosheng Xu, Yadong Jiang, Huan Wang, Jing Wang, | Summary: Topological materials with unconventional electronic properties have been investigated intensively for both fundamental and practical interests. Thousands of topological materials have been identified by symmetry-based analysis and ab initio calculations. However, the predicted magnetic topological insulators with […]
Kavli Affiliate: Jiansheng Chen | First 5 Authors: Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan, | Summary: Denoising diffusion probabilistic models (DDPMs) have been proven capable of synthesizing high-quality images with remarkable diversity when trained on large amounts of data. Typical diffusion models and modern large-scale conditional generative models like text-to-image generative models are […]