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

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

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

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

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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A Comprehensive Study of Thermonuclear X-ray Bursts from 4U 1820-30 with NICER: Accretion Disk Interactions and a Candidate Burst Oscillation

Kavli Affiliate: Deepto Chakrabarty | First 5 Authors: Gaurava K. Jaisawal, Z. Funda Bostancı, Tuğba Boztepe, Tolga Güver, Tod E. Strohmayer | Summary: We present the results obtained from timing and spectral studies of 15 thermonuclear X-ray bursts from 4U 1820-30 observed with the Neutron Star Interior Composition Explorer (NICER) during its five years of […]


Continue.. A Comprehensive Study of Thermonuclear X-ray Bursts from 4U 1820-30 with NICER: Accretion Disk Interactions and a Candidate Burst Oscillation

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

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

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

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

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. […]


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

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

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