Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling

Kavli Affiliate: Feng Wang | First 5 Authors: Zheqi Lv, Feng Wang, Shengyu Zhang, Kun Kuang, Hongxia Yang | Summary: In an era of information explosion, recommendation systems play an important role in people’s daily life by facilitating content exploration. It is known that user activeness, i.e., number of behaviors, tends to follow a long-tail […]


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Efficient meta-analysis of multivariate genome-wide association studies with Meta-MOSTest

Kavli Affiliate: Anders Dale | Authors: Aihua Lin, alexey shadrin, Dennis van der Meer, Guy Hindley, Weiqiu Cheng, Ida Elken Sonderby, Shahram Bahrami, Kevin S OConnell, Zillur Rahman, Nadine Parker, Olav B Smeland, Chun Fan, Dominic Holland, Anders Dale, Ole Andreassen and Oleksandr Frei | Summary: Abstract Motivation Genome-wide association studies (GWAS) have been successful […]


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Alternating north-south brightness ratio of Ganymede’s auroral ovals: Hubble Space Telescope observations around the Juno PJ34 flyby

Kavli Affiliate: George Clark | Summary:We report results of Hubble Space Telescope observations from Ganymede’s orbitally trailing side which were taken around the flyby of the Juno spacecraft on June 7, 2021. We find that Ganymede’s northern and southern auroral ovals alternate in brightness such that the oval facing Jupiter’s magnetospheric plasma sheet is brighter […]


Continue.. Alternating north-south brightness ratio of Ganymede’s auroral ovals: Hubble Space Telescope observations around the Juno PJ34 flyby

Arrestin-3 agonism at D3 dopamine receptors defines a subclass of second generation antipsychotics that promotes drug tolerance

Kavli Affiliate: Kevin Bender | Authors: Selin Schamiloglu, Elinor Lewis, Anne C Hergarden, Kevin Bender and Jennifer L Whistler | Summary: ABSTRACT Second generation antipsychotics (SGAs) are front-line treatments for serious mental illness. Often, individual patients benefit only from some SGAs and not others. The mechanisms underlying this unpredictability in treatment efficacy remain unclear. All […]


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The Photon Ring in M87*

Kavli Affiliate: Lijing Shao | First 5 Authors: Avery E. Broderick, Dominic W. Pesce, Paul Tiede, Hung-Yi Pu, Roman Gold | Summary: We report measurements of the gravitationally lensed secondary image — the first in an infinite series of so-called "photon rings" — around the supermassive black hole M87* via simultaneous modeling and imaging of […]


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Measurement of the $Ω_c^0$ lifetime at Belle II

Kavli Affiliate: T. Higuchi | First 5 Authors: Belle II Collaboration, F. Abudinén, I. Adachi, L. Aggarwal, H. Ahmed | Summary: We report on a measurement of the $Omega_c^0$ lifetime using $Omega_c^0 to Omega^-pi^+$ decays reconstructed in $e^+e^-to cbar{c}$ data collected by the Belle II experiment and corresponding to $207~{rm fb^{-1}}$ of integrated luminosity. The […]


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Internal states as a source of subject-dependent movement variability and their representation by large-scale networks

Kavli Affiliate: Kathleen Cullen & Sridevi Sarma | Authors: Macauley Smith Breault, Pierre Sacré, Zachary B Fitzgerald, John T Gale, Kathleen E Cullen, Jorge A González-Martínez and Sridevi V Sarma | Summary: Abstract A human’s ability to adapt and learn relies on reflecting on past performance. Such reflections form latent factors called internal states that […]


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NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized Federated Learning with Heterogeneous Data

Kavli Affiliate: Jia Liu | First 5 Authors: Xin Zhang, Minghong Fang, Zhuqing Liu, Haibo Yang, Jia Liu | Summary: Federated learning (FL) has received a surge of interest in recent years thanks to its benefits in data privacy protection, efficient communication, and parallel data processing. Also, with appropriate algorithmic designs, one could achieve the […]


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SYNTHESIS: A Semi-Asynchronous Path-Integrated Stochastic Gradient Method for Distributed Learning in Computing Clusters

Kavli Affiliate: Jia Liu | First 5 Authors: Zhuqing Liu, Xin Zhang, Jia Liu, , | Summary: To increase the training speed of distributed learning, recent years have witnessed a significant amount of interest in developing both synchronous and asynchronous distributed stochastic variance-reduced optimization methods. However, all existing synchronous and asynchronous distributed training algorithms suffer […]


Continue.. SYNTHESIS: A Semi-Asynchronous Path-Integrated Stochastic Gradient Method for Distributed Learning in Computing Clusters