Kavli Affiliate: Luis C. Ho | First 5 Authors: T. E. Zastrocky, Michael S. Brotherton, Pu Du, Jacob N. McLane, Kianna A. Olson | Summary: We report first-time reverberation mapping results for 14 AGNs from the ongoing Monitoring AGNs with H$beta$ Asymmetry campaign (MAHA). These results utilize optical spectra obtained with the Long Slit Spectrograph […]
Kavli Affiliate: Xiaoqin Wang | Authors: Liam Paninski and Nathaniel Sawtell | Summary: To understand the neural basis of behavior, it is essential to sensitively and accurately measure neural activity at single neuron and single spike resolution. Extracellular electrophysiology delivers this, but it has biases in the neurons it detects and it imperfectly resolves their […]
Kavli Affiliate: Xiaoqin Wang | Authors: Xindong Song, Yueqi Guo, Chenggang Chen, Jong Hoon Lee and Xiaoqin Wang | Summary: Tonotopic organization of the auditory cortex has been extensively studied in many mammalian species using various methodologies and physiological preparations. Tonotopy mapping in primates, however, is more limited due to constraints such as cortical folding, […]
Kavli Affiliate: E. P. S. Shellard | Summary:In this paper, we present the first comprehensive CMB data analysis of cosmological collider physics. New heavy particles during inflation can leave imprints in the primordial correlators which are observable in today’s cosmological surveys. This remarkable detection channel provides an unsurpassed opportunity to probe new physics at extremely […]
Kavli Affiliate: L. Mahadevan | First 5 Authors: Salem Mosleh, Gary P. T. Choi, L. Mahadevan, , | Summary: Temporal imaging of biological epithelial structures yields shape data at discrete time points, leading to a natural question: how can we reconstruct the most likely path of growth patterns consistent with these discrete observations? We present […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Taojun Hu, Yi Zhou, Satoshi Hattori, , | Summary: Meta-analysis is a powerful tool to synthesize findings from multiple studies. The normal-normal random-effects model is widely used to account for between-study heterogeneity. However, meta-analysis of sparse data, which may arise when the event rate is low for […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Taojun Hu, Yi Zhou, Sattoshi Hattori, , | Summary: Meta-analysis is a powerful tool to synthesize findings from multiple studies. The normal-normal random-effects model is widely used accounting for between-study heterogeneity. However, meta-analysis of sparse data, which may arise when the event rate is low for binary […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Zhuo Li, He Zhao, Zhen Li, Tongliang Liu, Dandan Guo | Summary: Real-world datasets usually are class-imbalanced and corrupted by label noise. To solve the joint issue of long-tailed distribution and label noise, most previous works usually aim to design a noise detector to distinguish the noisy […]