High-order tensor flow processing using integrated photonic circuits

Kavli Affiliate: Jing Wang | First 5 Authors: Shaofu Xu, Jing Wang, Sicheng Yi, Weiwen Zou, | Summary: Tensor analytics lays mathematical basis for the prosperous promotion of multiway signal processing. To increase computing throughput, mainstream processors transform tensor convolutions to matrix multiplications to enhance parallelism of computing. However, such order-reducing transformation produces data duplicates […]


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Challenges to magnetic doping of thin films of the Dirac semimetal Cd$_3$As$_2$

Kavli Affiliate: Ke Wang | First 5 Authors: Run Xiao, Jacob T Held, Jeffrey Rable, Supriya Ghosh, Ke Wang | Summary: Magnetic doping of topological quantum materials provides an attractive route for studying the effects of time-reversal symmetry breaking. Thus motivated, we explore the introduction of the transition metal Mn into thin films of the […]


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BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Kavli Affiliate: Zheng Zhu | First 5 Authors: Junjie Huang, Guan Huang, Zheng Zhu, Yun Ye, Dalong Du | Summary: Autonomous driving perceives its surroundings for decision making, which is one of the most complex scenarios in visual perception. The success of paradigm innovation in solving the 2D object detection task inspires us to seek […]


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Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex Minimax Machine Learning

Kavli Affiliate: Yi Zhou | First 5 Authors: Ziyi Chen, Shaocong Ma, Yi Zhou, , | Summary: Alternating gradient-descent-ascent (AltGDA) is an optimization algorithm that has been widely used for model training in various machine learning applications, which aims to solve a nonconvex minimax optimization problem. However, the existing studies show that it suffers from […]


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Asteroids for microhertz gravitational-wave detection

Kavli Affiliate: Peter W. Graham | First 5 Authors: Michael A. Fedderke, Peter W. Graham, Surjeet Rajendran, , | Summary: A major challenge for gravitational-wave (GW) detection in the $mu$Hz band is engineering a test mass (TM) with sufficiently low acceleration noise. We propose a GW detection concept using asteroids located in the inner Solar […]


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Asteroids for $μ$Hz gravitational-wave detection

Kavli Affiliate: Peter W. Graham | First 5 Authors: Michael A. Fedderke, Peter W. Graham, Surjeet Rajendran, , | Summary: A major challenge for gravitational-wave (GW) detection in the $mu$Hz band is engineering a test mass (TM) with sufficiently low acceleration noise. We propose a GW detection concept using asteroids located in the inner Solar […]


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Covariance matrices for variance-suppressed simulations

Kavli Affiliate: Risa H. Wechsler | First 5 Authors: Tony Zhang, Chia-Hsun Chuang, Risa H. Wechsler, Shadab Alam, Joseph DeRose | Summary: Cosmological $N$-body simulations provide numerical predictions of the structure of the universe against which to compare data from ongoing and future surveys. The growing volume of the surveyed universe, however, requires increasingly large […]


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Gravitationally Mediated Entanglement: Newtonian Field vs. Gravitons

Kavli Affiliate: Robert M. Wald | First 5 Authors: Daine L. Danielson, Gautam Satishchandran, Robert M. Wald, , | Summary: We argue that if the Newtonian gravitational field of a body can mediate entanglement with another body, then it should also be possible for the body producing the Newtonian field to entangle directly with on-shell […]


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Deep XMM-Newton Observations of an X-ray Weak, Broad Absorption Line Quasar at $z=6.5$

Kavli Affiliate: Ran Wang | First 5 Authors: Jinyi Yang, Xiaohui Fan, Feige Wang, Giorgio Lanzuisi, Riccardo Nanni | Summary: We report X-ray observations of the most distant known gravitationally lensed quasar, J0439+1634 at $z=6.52$, which is also a broad absorption line (BAL) quasar, using the XMM-Newton Observatory. With a 130 ks exposure, the quasar […]


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HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Andriy Myronenko, Ali Hatamizadeh, Vish Nath, Md Mahfuzur Rahman Siddiquee | Summary: Semantic segmentation of 3D medical images is a challenging task due to the high variability of the shape and pattern of objects (such as organs or tumors). Given the recent success of deep […]


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