Kavli Affiliate: Katrin Heitmann | First 5 Authors: Jonathan A. Blazek, Doug Clowe, Thomas E. Collett, Ian P. Dell’Antonio, Mark Dickinson | Summary: A new generation of powerful dark energy experiments will open new vistas for cosmology in the next decade. However, these projects cannot reach their utmost potential without data from other telescopes. This […]
Kavli Affiliate: Scott A. Hughes | First 5 Authors: Tousif Islam, Scott E. Field, Scott A. Hughes, Gaurav Khanna, Vijay Varma | Summary: We present a reduced-order surrogate model of gravitational waveforms from non-spinning binary black hole systems with comparable to large mass-ratio configurations. This surrogate model, texttt{BHPTNRSur1dq1e4}, is trained on waveform data generated by […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Yongwen Su, Subarna Tripathi, Zhuowen Tu, | Summary: In this paper, we present TExt Spotting TRansformers (TESTR), a generic end-to-end text spotting framework using Transformers for text detection and recognition in the wild. TESTR builds upon a single encoder and dual decoders for the joint […]
Kavli Affiliate: Li Zhao | Authors: Li Zhao, Ruhan Yi, Sun Liu, Yunliang Chi, Shengzhi Tan, Ji Dong, Hui Wang, Jing Zhang, Haoyu Wang, Xinping Xu, Binwei Yao, Bo Wang and Ruiyun Peng | Summary: Background Terahertz (THz) radiation is a valuable imaging and sensing tool which is widely used in industry and medicine. However, […]
Kavli Affiliate: Nickolay Y. Gnedin | First 5 Authors: Lauren Street, Nickolay Y. Gnedin, L. C. R. Wijewardhana, , | Summary: We perform maximum likelihood estimates (MLEs) for single and double flavor ultralight dark matter (ULDM) models using the Spitzer Photometry and Accurate Rotation Curves (SPARC) database. These estimates are compared to MLEs for several […]
Kavli Affiliate: Ke Wang | First 5 Authors: Wenhui Ren, Weikang Li, Shibo Xu, Ke Wang, Wenjie Jiang | Summary: Quantum computing promises to enhance machine learning and artificial intelligence. Different quantum algorithms have been proposed to improve a wide spectrum of machine learning tasks. Yet, recent theoretical works show that, similar to traditional classifiers […]
Kavli Affiliate: Salvatore Vitale | First 5 Authors: Sylvia Biscoveanu, Thomas A. Callister, Carl-Johan Haster, Ken K. Y. Ng, Salvatore Vitale | Summary: The population-level distributions of the masses, spins, and redshifts of binary black holes (BBHs) observed using gravitational waves can shed light on how these systems form and evolve. Because of the complex […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Qiuhong Shen, Lei Qiao, Jinyang Guo, Peixia Li, Xin Li | Summary: Unsupervised learning has been popular in various computer vision tasks, including visual object tracking. However, prior unsupervised tracking approaches rely heavily on spatial supervision from template-search pairs and are still unable to track objects […]
Kavli Affiliate: Michael Wimmer | First 5 Authors: Markus Schütz, Bernhard Kerbl, Michael Wimmer, , | Summary: We propose a software rasterization pipeline for point clouds that is capable of brute-force rendering up to two billion points in real time (60fps). Improvements over the state of the art are achieved by batching points in a […]
Kavli Affiliate: Salvatore Vitale | First 5 Authors: Salvatore Vitale, Sylvia Biscoveanu, Colm Talbot, , | Summary: It is expected that the orbital planes of gravitational-wave (GW) sources are isotropically distributed. However, both physical and technical factors, such as alternate theories of gravity with birefringence, catalog contamination, and search algorithm limitations, could result in inferring […]