Single-Star Warm-Jupiter Systems Tend to Be Aligned, Even Around Hot Stellar Hosts: No $T_{rm eff}-λ$ Dependency

Posted by dbos MIT

Kavli Affiliate: George R. Ricker | First 5 Authors: Xian-Yu Wang, Malena Rice, Songhu Wang, Shubham Kanodia, Fei Dai | Summary: The stellar obliquity distribution of warm-Jupiter systems is crucial for constraining the dynamical history of Jovian exoplanets, as the warm Jupiters’ tidal detachment likely preserves their primordial obliquity. However, the sample size of warm-Jupiter […]


Continue.. Single-Star Warm-Jupiter Systems Tend to Be Aligned, Even Around Hot Stellar Hosts: No $T_{rm eff}-λ$ Dependency

Single-Star Warm-Jupiter Systems Tend to Be Aligned, Even Around Hot Stellar Hosts: No $T_{rm eff}-λ$ Dependency

Posted by dbos MIT

Kavli Affiliate: Avi Shporer | First 5 Authors: Xian-Yu Wang, Malena Rice, Songhu Wang, Shubham Kanodia, Fei Dai | Summary: The stellar obliquity distribution of warm-Jupiter systems is crucial for constraining the dynamical history of Jovian exoplanets, as the warm Jupiters’ tidal detachment likely preserves their primordial obliquity. However, the sample size of warm-Jupiter systems […]


Continue.. Single-Star Warm-Jupiter Systems Tend to Be Aligned, Even Around Hot Stellar Hosts: No $T_{rm eff}-λ$ Dependency

Single-Star Warm-Jupiter Systems Tend to Be Aligned, Even Around Hot Stellar Hosts: No $T_{rm eff}-λ$ Dependency

Posted by dbos MIT

Kavli Affiliate: Robert F. Goeke | First 5 Authors: Xian-Yu Wang, Malena Rice, Songhu Wang, Shubham Kanodia, Fei Dai | Summary: The stellar obliquity distribution of warm-Jupiter systems is crucial for constraining the dynamical history of Jovian exoplanets, as the warm Jupiters’ tidal detachment likely preserves their primordial obliquity. However, the sample size of warm-Jupiter […]


Continue.. Single-Star Warm-Jupiter Systems Tend to Be Aligned, Even Around Hot Stellar Hosts: No $T_{rm eff}-λ$ Dependency

Single-Star Warm-Jupiter Systems Tend to Be Aligned, Even Around Hot Stellar Hosts: No $T_{rm eff}-λ$ Dependency

Posted by dbos MIT

Kavli Affiliate: George R. Ricker | First 5 Authors: Xian-Yu Wang, Malena Rice, Songhu Wang, Shubham Kanodia, Fei Dai | Summary: The stellar obliquity distribution of warm-Jupiter systems is crucial for constraining the dynamical history of Jovian exoplanets, as the warm Jupiters’ tidal detachment likely preserves their primordial obliquity. However, the sample size of warm-Jupiter […]


Continue.. Single-Star Warm-Jupiter Systems Tend to Be Aligned, Even Around Hot Stellar Hosts: No $T_{rm eff}-λ$ Dependency

CellCover Captures Neural Stem Cell Progression in Mammalian Neocortical Development

Posted by dbos Hopkins

Kavli Affiliate: Jean Fan and Laurent Younes | Authors: Lanlan Ji, An Wang, Shreyash Sonthalia, Daniel Q Naiman, Laurent Younes, Carlo Colantuoni and Donald Geman | Summary: 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. Marker […]


Continue.. CellCover Captures Neural Stem Cell Progression in Mammalian Neocortical Development

Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Weijia Li, Jinhua Yu, Dairong Chen, Yi Lin, Runmin Dong | Summary: In this work, we propose a geometry-aware semi-supervised framework for fine-grained building function recognition, utilizing geometric relationships among multi-source data to enhance pseudo-label accuracy in semi-supervised learning, broadening its applicability to various building function categorization […]


Continue.. Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning

Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Weijia Li, Jinhua Yu, Dairong Chen, Yi Lin, Runmin Dong | Summary: In this work, we propose a geometry-aware semi-supervised method for fine-grained building function recognition. This method leverages the geometric relationships between multi-source data to improve the accuracy of pseudo labels in semi-supervised learning, extending the […]


Continue.. Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning

Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Weijia Li, Jinhua Yu, Dairong Chen, Yi Lin, Runming Dong | Summary: In this work, we propose a geometry-aware semi-supervised method for fine-grained building function recognition. This method leverages the geometric relationships between multi-source data to improve the accuracy of pseudo labels in semi-supervised learning, extending the […]


Continue.. Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning