IMU-Aided Event-based Stereo Visual Odometry

Kavli Affiliate: Yi Zhou | First 5 Authors: Junkai Niu, Sheng Zhong, Yi Zhou, , | Summary: Direct methods for event-based visual odometry solve the mapping and camera pose tracking sub-problems by establishing implicit data association in a way that the generative model of events is exploited. The main bottlenecks faced by state-of-the-art work in […]


Continue.. IMU-Aided Event-based Stereo Visual Odometry

Fast, Accurate, and Versatile Data Analysis Platform for the Quantification of Molecular Spatiotemporal Signals

Kavli Affiliate: Kira Poskanzer | Authors: Xuelong Mi, Alex Bo-Yuan Chen, Daniela Duarte, Erin Carey, Charlotte R. Taylor, Philipp N. Braaker, Mark Bright, Rafael G. Almeida, Jing-Xuan Lim, Virginia M. Rutten, Wei Zheng, Mengfan Wang, Michael E. Reitman, Yizhi Wang, Kira E. Poskanzer, David A. Lyons, Axel Nimmerjahn, Misha B. Ahrens and Guoqiang Yu | […]


Continue.. Fast, Accurate, and Versatile Data Analysis Platform for the Quantification of Molecular Spatiotemporal Signals

Spatiotemporal analysis of gene expression in the human dentate gyrus reveals age-associated changes in cellular maturation and neuroinflammation

Kavli Affiliate: Keri Martinowich | Authors: Anthony Dial Ramnauth, Madhavi Tippani, Heena R. Divecha, Alexis R. Papariello, Ryan A Miller, Erik D Nelson, Elizabeth A. Pattie, Joel E. Kleinman, Kristen R. Maynard, Leonardo Collado-Torres, Thomas M. Hyde, Keri Martinowich, Stephanie C Hicks and Stephanie Cerceo Page | Summary: The dentate gyrus of the hippocampus is […]


Continue.. Spatiotemporal analysis of gene expression in the human dentate gyrus reveals age-associated changes in cellular maturation and neuroinflammation

Copas-Heckman-type sensitivity analysis for publication bias in rare-event meta-analysis under generalized linear mixed models

Kavli Affiliate: Yi Zhou | First 5 Authors: , , , , | Summary: In systematic reviews and meta-analyses, publication bias (PB) is one of the serious concerns and mainly induced by selective publication of academic literatures. Although many methods have been proposed to deal with PB, almost all the methods are based on the […]


Continue.. Copas-Heckman-type sensitivity analysis for publication bias in rare-event meta-analysis under generalized linear mixed models

Copas-Heckman-type sensitivity analysis for publication bias in rare-event meta-analysis under the framework of the generalized linear mixed model

Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Taojun Hu, Xiao-Hua Zhou, Satoshi Hattori, | Summary: Publication bias (PB) is one of the serious issues in meta-analysis. Many existing methods dealing with PB are based on the normal-normal (NN) random-effects model assuming normal models in both the within-study and the between-study levels. For […]


Continue.. Copas-Heckman-type sensitivity analysis for publication bias in rare-event meta-analysis under the framework of the generalized linear mixed model

Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond

Kavli Affiliate: Zheng Zhu | First 5 Authors: Zheng Zhu, Xiaofeng Wang, Wangbo Zhao, Chen Min, Nianchen Deng | Summary: General world models represent a crucial pathway toward achieving Artificial General Intelligence (AGI), serving as the cornerstone for various applications ranging from virtual environments to decision-making systems. Recently, the emergence of the Sora model has […]


Continue.. Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond

Using magnetic dynamics to measure the spin gap in a candidate Kitaev material

Kavli Affiliate: Cheng Peng | First 5 Authors: Xinyi Jiang, Qingzheng Qiu, Cheng Peng, Hoyoung Jang, Wenjie Chen | Summary: Materials potentially hosting Kitaev spin-liquid states are considered crucial for realizing topological quantum computing. However, the intricate nature of spin interactions within these materials complicates the precise measurement of low-energy spin excitations indicative of fractionalized […]


Continue.. Using magnetic dynamics to measure the spin gap in a candidate Kitaev material

Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning

Kavli Affiliate: Jia Liu | First 5 Authors: Tianchen Zhou, FNU Hairi, Haibo Yang, Jia Liu, Tian Tong | Summary: Reinforcement learning with multiple, potentially conflicting objectives is pervasive in real-world applications, while this problem remains theoretically under-explored. This paper tackles the multi-objective reinforcement learning (MORL) problem and introduces an innovative actor-critic algorithm named MOAC […]


Continue.. Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning

Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation

Kavli Affiliate: Jia Liu | First 5 Authors: Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu | Summary: Existing works in federated learning (FL) often assume an ideal system with either full client or uniformly distributed client participation. However, in practice, it has been observed that some clients may never participate in FL […]


Continue.. Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation

Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation

Kavli Affiliate: Jia Liu | First 5 Authors: Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu | Summary: Existing works in federated learning (FL) often assume an ideal system with either full client or uniformly distributed client participation. However, in practice, it has been observed that some clients may never participate in FL […]


Continue.. Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation