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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Qubit teleportation between a memory-compatible photonic time-bin qubit and a solid-state quantum network node

Kavli Affiliate: Wolfgang Tittel | First 5 Authors: Mariagrazia Iuliano, Marie-Christine Slater, Arian J. Stolk, Matthew J. Weaver, Tanmoy Chakraborty | Summary: We report on a quantum interface linking a diamond NV center quantum network node and 795nm photonic time-bin qubits compatible with Thulium and Rubidium quantum memories. The interface makes use of two-stage low-noise […]


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Non-empirical prediction of the length-dependent ionization potential in molecular chains

Kavli Affiliate: Jeffrey B. Neaton | First 5 Authors: Guy Ohad, Michal Hartstein, Tim Gould, Jeffrey B. Neaton, Leeor Kronik | Summary: The ionization potential of molecular chains is well-known to be a tunable nano-scale property that exhibits clear quantum confinement effects. State-of-the-art methods can accurately predict the ionization potential in the small molecule limit […]


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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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Local magnetic response of superconducting Sr$mathrm{_2}$RuO$mathrm{_4}$ thin films and rings

Kavli Affiliate: Darrell G. Schlom | First 5 Authors: G. M. Ferguson, Hari P. Nair, Nathaniel J. Schreiber, Ludi Miao, Kyle M. Shen | Summary: We conduct local magnetic measurements on superconducting thin-film samples of Sr$mathrm{_2}$RuO$mathrm{_4}$ using scanning Superconducting Quantum Interference Device (SQUID) susceptometry. From the diamagnetic response, we extract the magnetic penetration depth, $lambda$, […]


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Follow-up LOFAR observations of the $τ$ Boötis exoplanetary system

Kavli Affiliate: Xiang Zhang | First 5 Authors: Jake D. Turner, Jean-Mathias Grießmeier, Philippe Zarka, Xiang Zhang, Emilie Mauduit | Summary: Context. Observing the radio emission from exoplanets is among the most promising methods to detect their magnetic fields and a measurement of an exoplanetary magnetic field will help constrain the planet’s interior structure, star-planet […]


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From Discrete to Continuous: Deep Fair Clustering With Transferable Representations

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, , , , | Summary: We consider the problem of deep fair clustering, which partitions data into clusters via the representations extracted by deep neural networks while hiding sensitive data attributes. To achieve fairness, existing methods present a variety of fairness-related objective functions based on […]


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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

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