ELVES-Dwarf I: Satellites Systems of Eight Isolated Dwarf Galaxies in the Local Volume

Posted by dbos Peking

Jiaxuan Li, Jenny E. Greene, Shany Danieli, Scott G. Carlsten, Marla Geha | Summary: [[{“value”:”The satellite populations of Milky Way–mass systems have been extensively studied, significantly advancing our understanding of galaxy formation and dark matter physics. In contrast, the satellites of lower-mass dwarf galaxies remain largely unexplored, despite hierarchical structure formation predicting that dwarf galaxies […]


Continue.. ELVES-Dwarf I: Satellites Systems of Eight Isolated Dwarf Galaxies in the Local Volume

Genetic Programming with Reinforcement Learning Trained Transformer for Real-World Dynamic Scheduling Problems

Posted by dbos Peking

Kavli Affiliate: Xian Chen | First 5 Authors: Xian Chen, Rong Qu, Jing Dong, Ruibin Bai, Yaochu Jin | Summary: Dynamic scheduling in real-world environments often struggles to adapt to unforeseen disruptions, making traditional static scheduling methods and human-designed heuristics inadequate. This paper introduces an innovative approach that combines Genetic Programming (GP) with a Transformer […]


Continue.. Genetic Programming with Reinforcement Learning Trained Transformer for Real-World Dynamic Scheduling Problems

Genetic Programming with Reinforcement Learning Trained Transformer for Real-World Dynamic Scheduling Problems

Posted by dbos Peking

Kavli Affiliate: Xian Chen | First 5 Authors: Xian Chen, Rong Qu, Jing Dong, Ruibin Bai, Yaochu Jin | Summary: Dynamic scheduling in real-world environments often struggles to adapt to unforeseen disruptions, making traditional static scheduling methods and human-designed heuristics inadequate. This paper introduces an innovative approach that combines Genetic Programming (GP) with a Transformer […]


Continue.. Genetic Programming with Reinforcement Learning Trained Transformer for Real-World Dynamic Scheduling Problems

Learning Joint Source-Channel Encoding in IRS-assisted Multi-User Semantic Communications

Posted by dbos UCAS

Kavli Affiliate: Bo Gu | First 5 Authors: Haidong Wang, Songhan Zhao, Lanhua Li, Bo Gu, Jing Xu | Summary: In this paper, we investigate a joint source-channel encoding (JSCE) scheme in an intelligent reflecting surface (IRS)-assisted multi-user semantic communication system. Semantic encoding not only compresses redundant information, but also enhances information orthogonality in a […]


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Search for Axion Dark Matter from 1.1 to 1.3 GHz with ADMX

Posted by dbos Stanford

Kavli Affiliate: Chao-Lin Kuo | First 5 Authors: ADMX Collaboration, G. Carosi, C. Cisneros, N. Du, S. Durham | Summary: Axion dark matter can satisfy the conditions needed to account for all of the dark matter and solve the strong CP problem. The Axion Dark Matter eXperiment (ADMX) is a direct dark matter search using […]


Continue.. Search for Axion Dark Matter from 1.1 to 1.3 GHz with ADMX

Rapid inference and comparison of gravitational-wave population models with neural variational posteriors

Posted by dbos MIT

Kavli Affiliate: Salvatore Vitale | First 5 Authors: Matthew Mould, Noah E. Wolfe, Salvatore Vitale, , | Summary: The LIGO-Virgo-KAGRA catalog has been analyzed with an abundance of different population models due to theoretical uncertainty in the formation of gravitational-wave sources. To expedite model exploration, we introduce an efficient and accurate variational Bayesian approach that […]


Continue.. Rapid inference and comparison of gravitational-wave population models with neural variational posteriors

Rapid inference and comparison of gravitational-wave population models with neural variational posteriors

Posted by dbos MIT

Kavli Affiliate: Salvatore Vitale | First 5 Authors: Matthew Mould, Noah E. Wolfe, Salvatore Vitale, , | Summary: The LIGO-Virgo-KAGRA catalog has been analyzed with an abundance of different population models due to theoretical uncertainty in the formation of gravitational-wave sources. To expedite model exploration, we introduce an efficient and accurate variational Bayesian approach that […]


Continue.. Rapid inference and comparison of gravitational-wave population models with neural variational posteriors

Monkey See, Model Knew: Large Language Models Accurately Predict Visual Brain Responses in Humans AND Non-Human Primates

Posted by dbos Harvard

Kavli Affiliate: George A. Alvarez | Authors: Colin Conwell, Emalie McMahon, Akshay Jagadeesh, Kasper Vinken, Saloni Sharma, Jacob S. Prince, George Alvarez, Talia Konkle, Margaret Livignstone and Leyla Isik | Summary: Recent progress in multimodal AI and ‘language-aligned’ visual representation learning has rekindled debates about the role of language in shaping the human visual system. […]


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CellCover Defines Marker Gene Panels Capturing Developmental Progression in Neocortical Neural Stem Cell Identity

Posted by dbos Hopkins

Kavli Affiliate: Laurent Younes and Donald Geman | Authors: Lanlan Ji, An Wang, Shreyash Sonthalia, Seungmae Seo, Daniel Q Naiman, Laurent Younes, Carlo Colantuoni and Donald Geman | Summary: Definition of cell classes across the tissues of living organisms is central in the analysis of growing atlases of single-cell RNA sequencing (scRNA-seq) data across biomedicine. […]


Continue.. CellCover Defines Marker Gene Panels Capturing Developmental Progression in Neocortical Neural Stem Cell Identity

Probing the UV with IR Axion Dark Matter Experiments

Posted by dbos Tokyo

Kavli Affiliate: Hitoshi Murayama | First 5 Authors: Jacob M. Leedom, Serah Moldovsky, Hitoshi Murayama, , | Summary: There is an ongoing and future experimental program searching for axions as both extensions of the Standard Model and as candidates for the observed dark matter. In this paper, we examine the feasibility of being able to […]


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