High-resolution volumetric imaging constrains compartmental models to explore synaptic integration and temporal processing by cochlear nucleus globular bushy cells

Posted by klaurent UCSD / Salk

Kavli Affiliate: Mark Ellisman | Authors: George A. Spirou, Matthew Kersting, Sean Carr, Bayan Razzaq, Carolyna Y. Alves-Pinto, Mariah Dawson, Mark H. Ellisman and Paul B. Manis | Summary: Globular bushy cells (GBCs) of the cochlear nucleus play central roles in the temporal processing of sound. Despite investigation over many decades, fundamental questions remain about […]


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Probing reaction channels via reinforcement learning

Posted by klaurent Berkeley

Kavli Affiliate: David T. Limmer | First 5 Authors: Senwei Liang, Aditya N. Singh, Yuanran Zhu, David T. Limmer, Chao Yang | Summary: We propose a reinforcement learning based method to identify important configurations that connect reactant and product states along chemical reaction paths. By shooting multiple trajectories from these configurations, we can generate an […]


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Astrometric Calibration of the Beijing$-$Arizona Sky Survey

Posted by klaurent Peking

Kavli Affiliate: Linhua Jiang | First 5 Authors: Xiyan Peng, Zhaoxiang Qi, Tianmeng Zhang, Zhenyu Wu, Zhimin Zhou | Summary: We present the astrometric calibration of the Beijing-Arizona Sky Survey (BASS). The BASS astrometry was tied to the International Celestial Reference Frame via the emph{Gaia} Data Release 2 reference catalog. For effects that were stable […]


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Measuring Your ASTE Models in The Wild: A Diversified Multi-domain Dataset For Aspect Sentiment Triplet Extraction

Posted by dbos Berkeley

Kavli Affiliate: Ting Xu | First 5 Authors: Ting Xu, Huiyun Yang, Zhen Wu, Jiaze Chen, Fei Zhao | Summary: Aspect Sentiment Triplet Extraction (ASTE) is widely used in various applications. However, existing ASTE datasets are limited in their ability to represent real-world scenarios, hindering the advancement of research in this area. In this paper, […]


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WELL: Applying Bug Detectors to Bug Localization via Weakly Supervised Learning

Posted by klaurent Peking

Kavli Affiliate: Zhuo Li | First 5 Authors: Zhuo Li, Huangzhao Zhang, Zhi Jin, Ge Li, | Summary: Bug localization, which is used to help programmers identify the location of bugs in source code, is an essential task in software development. Researchers have already made efforts to harness the powerful deep learning (DL) techniques to […]


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