Detecting Solar System Analogs through Joint Radial Velocity/Astrometric Surveys

Kavli Affiliate: David N. Spergel | First 5 Authors: Daniel A. Yahalomi, Ruth Angus, David N. Spergel, Daniel Foreman-Mackey, | Summary: Earth-mass exoplanets on year-long orbits and cool gas giants (CGG) on decade-long orbits lie at the edge of current detection limits. The Terra Hunting Experiment (THE) will take nightly radial velocity (RV) observations on […]


Continue.. Detecting Solar System Analogs through Joint Radial Velocity/Astrometric Surveys

Chiral spin liquid in a $mathbb{Z}_3$ Kitaev model

Kavli Affiliate: Cheng Peng | First 5 Authors: Li-Mei Chen, Tyler D. Ellison, Meng Cheng, Peng Ye, Ji-Yao Chen | Summary: We study a $mathbb{Z}_3$ Kitaev model on the honeycomb lattice with nearest neighbor interactions. Based on matrix product state simulations and symmetry considerations, we find evidence that, with ferromagnetic isotropic couplings, the model realizes […]


Continue.. Chiral spin liquid in a $mathbb{Z}_3$ Kitaev model

Chiral spin liquid in a $mathbb{Z}_3$ Kitaev model

Kavli Affiliate: Cheng Peng | First 5 Authors: Li-Mei Chen, Tyler D. Ellison, Meng Cheng, Peng Ye, Ji-Yao Chen | Summary: We study a $mathbb{Z}_3$ Kitaev model on the honeycomb lattice with nearest neighbor interactions. Based on matrix product state simulations and symmetry considerations, we find evidence that, with ferromagnetic isotropic couplings, the model realizes […]


Continue.. Chiral spin liquid in a $mathbb{Z}_3$ Kitaev model

Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification

Kavli Affiliate: Feng Wang | First 5 Authors: Bohan Li, Xiao Xu, Xinghao Wang, Yutai Hou, Yunlong Feng | Summary: Existing image augmentation methods consist of two categories: perturbation-based methods and generative methods. Perturbation-based methods apply pre-defined perturbations to augment an original image, but only locally vary the image, thus lacking image diversity. In contrast, […]


Continue.. Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification

Mapping the X-ray variability of GRS1915+105 with machine learning

Kavli Affiliate: Ronald A. Remillard | First 5 Authors: Benjamin J. Ricketts, James F. Steiner, Cecilia Garraffo, Ronald A. Remillard, Daniela Huppenkothen | Summary: Black hole X-ray binary systems (BHBs) contain a close companion star accreting onto a stellar-mass black hole. A typical BHB undergoes transient outbursts during which it exhibits a sequence of long-lived […]


Continue.. Mapping the X-ray variability of GRS1915+105 with machine learning

Connecting cooperative transport by ants with the physics of self-propelled particles

Kavli Affiliate: Ariel Amir | First 5 Authors: Tabea Heckenthaler, Tobias Holder, Ariel Amir, Ofer Feinerman, Ehud Fonio | Summary: Paratrechina longicornis ants are known for their ability to cooperatively transport large food items. Previous studies have focused on the behavioral rules of individual ants and explained the efficient coordination using the coupled-carrier model. In […]


Continue.. Connecting cooperative transport by ants with the physics of self-propelled particles

CodeScore: Evaluating Code Generation by Learning Code Execution

Kavli Affiliate: Zhuo Li | First 5 Authors: Yihong Dong, Jiazheng Ding, Xue Jiang, Ge Li, Zhuo Li | Summary: A proper code evaluation metric (CEM) profoundly impacts the evolution of code generation, which is an important research field in NLP and software engineering. Prevailing match-based CEMs (e.g., BLEU, Accuracy, and CodeBLEU) suffer from two […]


Continue.. CodeScore: Evaluating Code Generation by Learning Code Execution

CodeScore: Evaluating Code Generation by Learning Code Execution

Kavli Affiliate: Zhuo Li | First 5 Authors: Yihong Dong, Jiazheng Ding, Xue Jiang, Ge Li, Zhuo Li | Summary: A proper code evaluation metric (CEM) profoundly impacts the evolution of code generation, which is an important research field in NLP and software engineering. Prevailing match-based CEMs (e.g., BLEU, Accuracy, and CodeBLEU) suffer from two […]


Continue.. CodeScore: Evaluating Code Generation by Learning Code Execution