ReSup: Reliable Label Noise Suppression for Facial Expression Recognition

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Yan Lu, Huan Yan, Jingyang Huang, Yusheng Ji | Summary: Because of the ambiguous and subjective property of the facial expression recognition (FER) task, the label noise is widely existing in the FER dataset. For this problem, in the training phase, current FER methods often […]


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Probing reaction channels via reinforcement learning

Kavli Affiliate: David T. Limmer | First 5 Authors: Senwei Liang, Aditya N. Singh, Yuanran Zhu, David T. Limmer, Chao Yang | Summary: We propose a reinforcement learning based method to identify important configurations that connect reactant and product states along chemical reaction paths. By shooting multiple trajectories from these configurations, we can generate an […]


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Measuring Your ASTE Models in The Wild: A Diversified Multi-domain Dataset For Aspect Sentiment Triplet Extraction

Kavli Affiliate: Ting Xu | First 5 Authors: Ting Xu, Huiyun Yang, Zhen Wu, Jiaze Chen, Fei Zhao | Summary: Aspect Sentiment Triplet Extraction (ASTE) is widely used in various applications. However, existing ASTE datasets are limited in their ability to represent real-world scenarios, hindering the advancement of research in this area. In this paper, […]


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GC-Flow: A Graph-Based Flow Network for Effective Clustering

Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen | Summary: Graph convolutional networks (GCNs) are emph{discriminative models} that directly model the class posterior $p(y|mathbf{x})$ for semi-supervised classification of graph data. While being effective, as a representation learning approach, the node representations extracted from a GCN often miss […]


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Extending the Computational Reach of a Superconducting Qutrit Processor

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Noah Goss, Samuele Ferracin, Akel Hashim, Arnaud Carignan-Dugas, John Mark Kreikebaum | Summary: Quantum computing with qudits is an emerging approach that exploits a larger, more-connected computational space, providing advantages for many applications, including quantum simulation and quantum error correction. Nonetheless, qudits are typically afflicted by more […]


Continue.. Extending the Computational Reach of a Superconducting Qutrit Processor

Extending the Computational Reach of a Superconducting Qutrit Processor

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Noah Goss, Samuele Ferracin, Akel Hashim, Arnaud Carignan-Dugas, John Mark Kreikebaum | Summary: Quantum computing with qudits is an emerging approach that exploits a larger, more-connected computational space, providing advantages for many applications, including quantum simulation and quantum error correction. Nonetheless, qudits are typically afflicted by more […]


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Wafer-scale magnesium diboride thin films and devices with tunable high kinetic inductance

Kavli Affiliate: Nathan Lewis | First 5 Authors: Changsub Kim, Christina Bell, Jake Evans, Jonathan Greenfield, Nathan Lewis | Summary: Progress in superconducting device and detector technologies over the past decade have realized practical applications in quantum computers, detectors for far-IR telescopes, and optical communications. Superconducting thin film materials, however, have remained largely unchanged, with […]


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Wafer-Scale MgB2 Superconducting Devices

Kavli Affiliate: Nathan Lewis | First 5 Authors: Changsub Kim, Christina Bell, Jake Evans, Jonathan Greenfield, Emma Batson | Summary: Progress in superconducting device and detector technologies over the past decade have realized practical applications in quantum computers, detectors for far-infrared telescopes, and optical communications. Superconducting thin film materials, however, have remained largely unchanged, with […]


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Observation of vortex-string chiral modes in metamaterials

Kavli Affiliate: Xiang Zhang | First 5 Authors: Jingwen Ma, Ding Jia, Li Zhang, Yi-jun Guan, Yong Ge | Summary: As a hypothetical topological defect in the geometry of spacetime, vortex strings play a crucial role in shaping the clusters of galaxies that exist today, and their distinct features can provide observable clues about the […]


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Ambarzumyan-type theorem for vectorial Sturm-Liouville operator with impulses

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Chuan-Fu Yang | Summary: We consider the vector-impulsive Sturm-Liouville problem with Neumann conditions. The Ambarzumyan$^{textbf{,}}$s theorem for the problem is proved, which states that if the eigenvalues of the problem coincide with those of the zero potential, then the potential is zero. | Search Query: […]


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