Large deviations principle for sub-Riemannian random walks

Kavli Affiliate: Jing Wang | First 5 Authors: Maria Gordina, Tai Melcher, Jing Wang, , | Summary: We prove that a large deviations principle holds with a (good) natural rate function for sub-Riemannian random walks on homogeneous Carnot groups. | Search Query: ArXiv Query: search_query=au:”Jing Wang”&id_list=&start=0&max_results=10 Read More


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A machine learning based approach towards high-dimensional mediation analysis

Kavli Affiliate: Brian Caffo, Martin Lindquist | Authors: Tanmay Nath, Brian Caffo, Tor Wager and Martin Lindquist | Summary: Abstract Mediation analysis is used to investigate the role of intermediate variables (mediators) that lie in the path between an exposure and an outcome variable. While significant research has focused on developing methods for assessing the […]


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BICEP / Keck XVI: Characterizing Dust Polarization through Correlations with Neutral Hydrogen

Kavli Affiliate: C. L. Kuo | First 5 Authors: BICEP/Keck Collaboration, :, P. A. R. Ade, Z. Ahmed, M. Amiri | Summary: We characterize Galactic dust filaments by correlating BICEP/Keck and Planck data with polarization templates based on neutral hydrogen (H I) observations. Dust polarization is important for both our understanding of astrophysical processes in […]


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Spectral Evolution of Ultraluminous X-ray Pulsar NGC 300 ULX-1

Kavli Affiliate: Deepto Chakrabarty | First 5 Authors: Mason Ng, Ronald A. Remillard, James F. Steiner, Deepto Chakrabarty, Dheeraj R. Pasham | Summary: We report on results from a one-year soft X-ray observing campaign of the ultraluminous X-ray pulsar NGC 300 ULX-1 by the Neutron star Interior Composition Explorer (NICER) during 2018–2019. Our analysis also […]


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Quantum metrology of low frequency electromagnetic modes with frequency upconverters

Kavli Affiliate: Dale Li | First 5 Authors: Stephen E. Kuenstner, Elizabeth C. van Assendelft, Saptarshi Chaudhuri, Hsiao-Mei Cho, Jason Corbin | Summary: We present the RF Quantum Upconverter (RQU) and describe its application to quantum metrology of electromagnetic modes between dc and the Very High Frequency band (VHF) ($lesssim$300MHz). The RQU uses a Josephson […]


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Quantum metrology of low frequency electromagnetic modes with frequency upconverters

Kavli Affiliate: Kent D. Irwin | First 5 Authors: Stephen E. Kuenstner, Elizabeth C. van Assendelft, Saptarshi Chaudhuri, Hsiao-Mei Cho, Jason Corbin | Summary: We describe the RF Quantum Upconverter (RQU) and describe its application to quantum metrology of electromagnetic modes between dc and the Very High Frequency band (VHF) ($lesssim$300MHz). The RQU uses a […]


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OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions

Kavli Affiliate: Zheng Zhu | First 5 Authors: Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu | Summary: The pretrain-finetune paradigm in modern computer vision facilitates the success of self-supervised learning, which tends to achieve better transferability than supervised learning. However, with the availability of massive labeled data, a natural question emerges: how […]


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Forecast of Cosmological Constraints with Type Ia Supernovae from the Chinese Space Station Telescope

Kavli Affiliate: Hu Zhan | First 5 Authors: Shi-Yu Li, Yun-Long Li, Tianmeng Zhang, Jozsef Vinko, Eniko Regos | Summary: The 2-m aperture Chinese Space Station Telescope (CSST), which observes at wavelengths ranging from 255 to 1000 nm, is expected to start science operations in 2024. An ultra-deep field observation program covering approximately 10 square […]


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Tracer-Field Cross-Correlations with $k$-Nearest Neighbor Distributions

Kavli Affiliate: Tom Abel | First 5 Authors: Arka Banerjee, Tom Abel, , , | Summary: In astronomy and cosmology, significant effort is devoted to characterizing and understanding spatial cross-correlations between points – e.g. galaxy positions, high energy neutrino arrival directions, X-ray and AGN sources, and continuous field – e.g. weak lensing and Cosmic Microwave […]


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DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, S. Kevin Zhou, Rama Chellappa, , | Summary: Medical image super-resolution (SR) is an active research area that has many potential applications, including reducing scan time, bettering visual understanding, increasing robustness in downstream tasks, etc. However, applying deep-learning-based SR approaches for clinical applications often encounters […]


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