Developing integrated rate laws of complex self-assembly reactions using Lie symmetry: Kinetics of Abeta42, Abeta40 and Abeta38 co-aggregation

Posted by klaurent Harvard

Kavli Affiliate: L. Mahadevan | First 5 Authors: Alexander J. Dear, Georg Meisl, Sara Linse, L. Mahadevan, | Summary: The development of solutions to the kinetics of homomolecular self-assembly into amyloid fibrils using fixed-point methods, and their subsequent application to the analysis of in vitro kinetic experiments, has led to numerous advances in our understanding […]


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Discovery of X-ray Polarization from the Black Hole Transient Swift J1727.8-1613

Posted by klaurent MIT

Kavli Affiliate: Herman L. Marshall | First 5 Authors: Alexandra Veledina, Fabio Muleri, Michal Dovciak, Juri Poutanen, Ajay Ratheesh | Summary: We report the first detection of the X-ray polarization of the bright transient Swift J1727.8-1613 with the Imaging X-ray Polarimetry Explorer. The observation was performed at the beginning of the 2023 discovery outburst, when […]


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Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank

Posted by dbos Peking

Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun | Summary: Unbiased Learning to Rank (ULTR) aims to train unbiased ranking models from biased click logs, by explicitly modeling a generation process for user behavior and fitting click data based on examination hypothesis. Previous research found […]


Continue.. Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank

Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank

Posted by dbos Peking

Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun | Summary: Unbiased Learning to Rank (ULTR) aims to train unbiased ranking models from biased click logs, by explicitly modeling a generation process for user behavior and fitting click data based on examination hypothesis. Previous research found […]


Continue.. Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank

Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank

Posted by klaurent Peking

Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun | Summary: The application of Unbiased Learning to Rank (ULTR) is widespread in modern systems for training unbiased ranking models from biased click logs. The key is to explicitly model a generation process for user behavior and […]


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Galaxy mergers in Subaru HSC-SSP: a deep representation learning approach for identification and the role of environment on merger incidence

Posted by klaurent Tokyo

Kavli Affiliate: John D. Silverman | First 5 Authors: Kiyoaki Christopher Omori, Connor Bottrell, Mike Walmsley, Hassen M. Yesuf, Andy D. Goulding | Summary: We take a deep learning-based approach for galaxy merger identification in Subaru HSC-SSP, specifically through the use of deep representation learning and fine-tuning, with the aim of creating a pure and […]


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From Stoner to Local Moment Magnetism in Atomically Thin Cr2Te3

Posted by klaurent UCAS

Kavli Affiliate: Cheng Peng | First 5 Authors: Yong Zhong, Cheng Peng, Haili Huang, Dandan Guan, Jinwoong Hwang | Summary: The field of two-dimensional (2D) ferromagnetism has been proliferating over the past few years, with ongoing interests in basic science and potential applications in spintronic technology. However, a high-resolution spectroscopic study of the 2D ferromagnet […]


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Perfect Coulomb drag and exciton transport in an excitonic insulator

Posted by klaurent Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Ruishi Qi, Andrew Y. Joe, Zuocheng Zhang, Jingxu Xie, Qixin Feng | Summary: Strongly coupled two-dimensional electron-hole bilayers can give rise to novel quantum Bosonic states: electrons and holes in electrically isolated layers can pair into interlayer excitons, which can form a Bose-Einstein condensate below a critical […]


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Ventral CA1 Population Codes for Anxiety

Posted by klaurent Columbia

Kavli Affiliate: Stefano Fusi | Authors: Sean Chih-Hsiung Lim, Stefano Fusi and Rene Hen | Summary: The ventral hippocampus is a critical node in the distributed brain network that controls anxiety. Using miniature microscopy and calcium imaging, we recorded ventral CA1 (vCA1) neurons in freely moving mice as they explored variants of classic behavioral assays […]


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