Network nature of ligand-receptor interactions underlies disease comorbidity in the brain

Posted by dbos Hopkins

Kavli Affiliate: Keri Martinowich | Authors: Melissa Grant-Peters, Aine Fairbrother-Browne, Amy Hicks, Boyi Guo, Regina H. Reynolds, Louise A. Huuki-Myers, Nick Eagles, Jonathan Brenton, Sonia Garcia-Ruiz, Nicholas Wood, Sonia Gandhi, Keri Martinowich, Kristen Maynard, Leonardo Collado-Torres and Mina Ryten | Summary: Neurodegenerative disorders have overlapping symptoms and have high comorbidity rates, but this is not […]


Continue.. Network nature of ligand-receptor interactions underlies disease comorbidity in the brain

Magnetospheric origin of a fast radio burst constrained using scintillation

Posted by dbos MIT

Kavli Affiliate: Kiyoshi W. Masui | First 5 Authors: Kenzie Nimmo, Ziggy Pleunis, Paz Beniamini, Pawan Kumar, Adam E. Lanman | Summary: Fast radio bursts (FRBs) are micro-to-millisecond duration radio transients that originate mostly from extragalactic distances. The emission mechanism responsible for these high luminosity, short duration transients remains debated. The models are broadly grouped […]


Continue.. Magnetospheric origin of a fast radio burst constrained using scintillation

Imperceptible Rhythm Backdoor Attacks: Exploring Rhythm Transformation for Embedding Undetectable Vulnerabilities on Speech Recognition

Posted by dbos Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Wenhan Yao, Jiangkun Yang, Yongqiang He, Jia Liu, Weiping Wen | Summary: Speech recognition is an essential start ring of human-computer interaction, and recently, deep learning models have achieved excellent success in this task. However, when the model training and private data provider are always separated, some […]


Continue.. Imperceptible Rhythm Backdoor Attacks: Exploring Rhythm Transformation for Embedding Undetectable Vulnerabilities on Speech Recognition

Imperceptible Rhythm Backdoor Attacks: Exploring Rhythm Transformation for Embedding Undetectable Vulnerabilities on Speech Recognition

Posted by dbos Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Wenhan Yao, Jiangkun Yang, Yongqiang He, Jia Liu, Weiping Wen | Summary: Speech recognition is an essential start ring of human-computer interaction, and recently, deep learning models have achieved excellent success in this task. However, when the model training and private data provider are always separated, some […]


Continue.. Imperceptible Rhythm Backdoor Attacks: Exploring Rhythm Transformation for Embedding Undetectable Vulnerabilities on Speech Recognition

Interlayer Fermi polarons of excited exciton states in quantizing magnetic fields

Posted by dbos Cornell

Kavli Affiliate: Jie Shan | First 5 Authors: Huiying Cui, Qianying Hu, Xuan Zhao, Liguo Ma, Feng Jin | Summary: The study of exciton-polarons has offered profound insights into the many-body interactions between bosonic excitations and their immersed Fermi sea within layered heterostructures. However, little is known about the properties of exciton polarons with interlayer […]


Continue.. Interlayer Fermi polarons of excited exciton states in quantizing magnetic fields

A Generative Model for Realistic Galaxy Cluster X-ray Morphologies

Posted by dbos Stanford

Kavli Affiliate: Steven W. Allen | First 5 Authors: Maya Benyas, Jordan Pfeifer, Adam B. Mantz, Steven W. Allen, Elise Darragh-Ford | Summary: The X-ray morphologies of clusters of galaxies display significant variations, reflecting their dynamical histories and the nonlinear dependence of X-ray emissivity on the density of the intracluster gas. Qualitative and quantitative assessments […]


Continue.. A Generative Model for Realistic Galaxy Cluster X-ray Morphologies

Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang, | Summary: In this paper, we tackle a new problem of textit{multi-source unsupervised domain adaptation (MSUDA) for graphs}, where models trained on annotated source domains need to be transferred to the unsupervised target graph for node classification. Due to […]


Continue.. Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling

Early Developmental Origins of Cortical Disorders Modeled in Human Neural Stem Cells

Posted by dbos Yale

Kavli Affiliate: Flora Vaccarino | Authors: Xoel Mato-Blanco, Suel-Kee Kim, Alexandre Jourdon, Shaojie Ma, Andrew T.N. Tebbenkamp, Fuchen Liu, Alvaro Duque, Flora M. Vaccarino, Nenad Sestan, Carlo Colantuoni, Pasko Rakic, Gabriel Santpere and Nicola Micali | Summary: The implications of the early phases of human telencephalic development, involving neural stem cells (NSCs), in the etiology […]


Continue.. Early Developmental Origins of Cortical Disorders Modeled in Human Neural Stem Cells

Byzantine-Robust Decentralized Federated Learning

Posted by dbos Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Minghong Fang, Zifan Zhang, Hairi, Prashant Khanduri, Jia Liu | Summary: Federated learning (FL) enables multiple clients to collaboratively train machine learning models without revealing their private training data. In conventional FL, the system follows the server-assisted architecture (server-assisted FL), where the training process is coordinated by […]


Continue.. Byzantine-Robust Decentralized Federated Learning

Byzantine-Robust Decentralized Federated Learning

Posted by dbos Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Minghong Fang, Zifan Zhang, Hairi, Prashant Khanduri, Jia Liu | Summary: Federated learning (FL) enables multiple clients to collaboratively train machine learning models without revealing their private training data. In conventional FL, the system follows the server-assisted architecture (server-assisted FL), where the training process is coordinated by […]


Continue.. Byzantine-Robust Decentralized Federated Learning