Exceptional scalar theories in de Sitter space

Kavli Affiliate: Austin Joyce | First 5 Authors: James Bonifacio, Kurt Hinterbichler, Austin Joyce, Diederik Roest, | Summary: The special galileon and Dirac-Born-Infeld (DBI) theories are effective field theories of a single scalar field that have many interesting properties in flat space. These theories can be extended to all maximally symmetric spaces, where their algebras […]


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New constraint on Early Dark Energy from Planck and BOSS data using the profile likelihood

Kavli Affiliate: Eiichiro Komatsu | First 5 Authors: Laura Herold, Elisa G. M. Ferreira, Eiichiro Komatsu, , | Summary: A dark energy-like component in the early universe, known as early dark energy (EDE), is a proposed solution to the Hubble tension. Currently, there is no consensus in the literature as to whether EDE can simultaneously […]


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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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