Bringing Textual Prompt to AI-Generated Image Quality Assessment

Kavli Affiliate: Wei Gao | First 5 Authors: Bowen Qu, Haohui Li, Wei Gao, , | Summary: AI-Generated Images (AGIs) have inherent multimodal nature. Unlike traditional image quality assessment (IQA) on natural scenarios, AGIs quality assessment (AGIQA) takes the correspondence of image and its textual prompt into consideration. This is coupled in the ground truth […]


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Adaptive Loss Weighting for Machine Learning Interatomic Potentials

Kavli Affiliate: Wei Gao | First 5 Authors: Daniel Ocampoa, Daniela Possob, Reza Namakiana, Wei Gao, | Summary: Training machine learning interatomic potentials often requires optimizing a loss function composed of three variables: potential energies, forces, and stress. The contribution of each variable to the total loss is typically weighted using fixed coefficients. Identifying these […]


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Dynamic Information Dissemination Model Incorporating Non-Adjacent Node Interaction

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xinyu Li, Jinyang Huang, Xiang Zhang, Peng Zhao, Meng Wang | Summary: Describing the dynamics of information dissemination within social networks poses a formidable challenge. Despite multiple endeavors aimed at addressing this issue, only a limited number of studies have effectively replicated and forecasted the evolving course […]


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A Bayesian Approach for Selecting Relevant External Data (BASE): Application to a study of Long-Term Outcomes in a Hemophilia Gene Therapy Trial

Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianyu Pan, Xiang Zhang, Weining Shen, Ting Ye, | Summary: Gene therapies aim to address the root causes of diseases, particularly those stemming from rare genetic defects that can be life-threatening or severely debilitating. While there has been notable progress in the development of gene therapies in […]


Continue.. A Bayesian Approach for Selecting Relevant External Data (BASE): Application to a study of Long-Term Outcomes in a Hemophilia Gene Therapy Trial

Extended Spreading of Saline Droplets upon Impact on a Frosty Surface

Kavli Affiliate: Feng Wang | First 5 Authors: Hao Zeng, Feng Wang, Chao Sun, , | Summary: Understanding the solidification dynamics of impacted water droplets is fundamental and crucial for applications, especially with the presence of frost and salt. Here, we experimentally investigate the spreading and freezing dynamics of saline droplets upon impact on a […]


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In-Hand Following of Deformable Linear Objects Using Dexterous Fingers with Tactile Sensing

Kavli Affiliate: Xiang Zhang | First 5 Authors: Mingrui Yu, Boyuan Liang, Xiang Zhang, Xinghao Zhu, Xiang Li | Summary: Most research on deformable linear object (DLO) manipulation assumes rigid grasping. However, beyond rigid grasping and re-grasping, in-hand following is also an essential skill that humans use to dexterously manipulate DLOs, which requires continuously changing […]


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Photon statistics analysis of h-BN quantum emitters with pulsed and continuous-wave excitation

Kavli Affiliate: Harry A. Atwater | First 5 Authors: Hamidreza Akbari, Pankaj K. Jha, Kristina Malinowski, Benjamin E. C. Koltenbah, Harry A. Atwater | Summary: We report on the quantum photon statistics of hexagonal boron nitride (h-BN) quantum emitters by analyzing the Mandel Q parameter. We have measured the Mandel Q parameter for h-BN quantum […]


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Electrically controlled nonvolatile switching of single-atom magnetism in a Dy@C84 single-molecule transistor

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Wangqiang Shen, Yuan Shui, Jun Chen, Huaiqiang Wang | Summary: Single-atom magnetism switching is a key technique towards the ultimate data storage density of computer hard disks and has been conceptually realized by leveraging the spin bistability of a magnetic atom under a scanning tunnelling […]


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Self-Supervised Learning for Time Series: Contrastive or Generative?

Kavli Affiliate: Xiang Zhang | First 5 Authors: Ziyu Liu, Azadeh Alavi, Minyi Li, Xiang Zhang, | Summary: Self-supervised learning (SSL) has recently emerged as a powerful approach to learning representations from large-scale unlabeled data, showing promising results in time series analysis. The self-supervised representation learning can be categorized into two mainstream: contrastive and generative. […]


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Enhanced ClNO$_2$ formation at the interface of sea-salt aerosol

Kavli Affiliate: David T. Limmer | First 5 Authors: Seokjin Moon, David T. Limmer, , , | Summary: The reactive uptake of $mathrm{N_2O_5}$ on sea-spray aerosol plays a key role in regulating NO$_mathrm{x}$ concentration in the troposphere. Despite numerous field and laboratory studies, a microscopic understanding of its heterogeneous reactivity remains unclear. Here, we use […]


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