Applying Conditional Generative Adversarial Networks for Imaging Diagnosis

Kavli Affiliate: Ting Xu | First 5 Authors: Haowei Yang, Yuxiang Hu, Shuyao He, Ting Xu, Jiajie Yuan | Summary: This study introduces an innovative application of Conditional Generative Adversarial Networks (C-GAN) integrated with Stacked Hourglass Networks (SHGN) aimed at enhancing image segmentation, particularly in the challenging environment of medical imaging. We address the problem […]


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Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification

Kavli Affiliate: Xiang Zhang | First 5 Authors: Ziyu Liu, Azadeh Alavi, Minyi Li, Xiang Zhang, | Summary: Self-supervised contrastive learning has become a key technique in deep learning, particularly in time series analysis, due to its ability to learn meaningful representations without explicit supervision. Augmentation is a critical component in contrastive learning, where different […]


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AuNR-SMA: Automated Gold Nanorod Spectral Morphology Analysis Pipeline

Kavli Affiliate: Paul Alivisatos | First 5 Authors: Samuel P. Gleason, Jakob C. Dahl, Mahmoud Elzouka, Xingzhi Wang, Dana O. Byrne | Summary: The development of a colloidal synthesis procedure to produce nanomaterials of a specific size with high shape and size purity is often a time consuming, iterative process. This is often due to […]


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On the interplay of electronic and lattice screening on exciton binding in two-dimensional lead halide perovskites

Kavli Affiliate: David T. Limmer | First 5 Authors: Rohit Rana, David T. Limmer, , , | Summary: We use path integral Monte Carlo to study the energetics of excitons in layered, hybrid organic-inorganic perovskites in order to elucidate the relative contributions of dielectric confinement and electron-phonon coupling. While the dielectric mismatch between polar perovskite […]


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Magnetoresistance and Anisotropic Spin Dynamics in Antiferromagnetic Semiconductor Eu$_5$Sn$_2$As$_6$

Kavli Affiliate: Joel E. Moore | First 5 Authors: R. P. Day, K. Yamakawa, L. Pritchard Cairns, J. Singleton, Monica Allen | Summary: We report on the thermodynamic and transport properties of the rare-earth Zintl compound Eu$_5$Sn$_2$As$_6$, which orders as a canted antiferromagnetic magnetic semiconductor at 10.3~K. The system also displays a complex cascade of […]


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Qudit Dynamical Decoupling on a Superconducting Quantum Processor

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Vinay Tripathi, Noah Goss, Arian Vezvaee, Long B. Nguyen, Irfan Siddiqi | Summary: Multi-level qudit systems are increasingly being explored as alternatives to traditional qubit systems due to their denser information storage and processing potential. However, qudits are more susceptible to decoherence than qubits due to increased […]


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Stephanie: Step-by-Step Dialogues for Mimicking Human Interactions in Social Conversations

Kavli Affiliate: Xiang Zhang | First 5 Authors: Hao Yang, Hongyuan Lu, Xinhua Zeng, Yang Liu, Xiang Zhang | Summary: In the rapidly evolving field of natural language processing, dialogue systems primarily employ a single-step dialogue paradigm. Although this paradigm is efficient, it lacks the depth and fluidity of human interactions and does not appear […]


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Navigating Connected Car Cybersecurity: Location Anomaly Detection with RAN Data

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Yaron Koral, Kenichi Futamura, , | Summary: The cybersecurity of connected cars, integral to the broader Internet of Things (IoT) landscape, has become of paramount concern. Cyber-attacks, including hijacking and spoofing, pose significant threats to these technological advancements, potentially leading to unauthorized control over vehicular […]


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Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning

Kavli Affiliate: Xiang Zhang | First 5 Authors: Yixiao Wang, Yifei Zhang, Mingxiao Huo, Ran Tian, Xiang Zhang | Summary: The increasing complexity of tasks in robotics demands efficient strategies for multitask and continual learning. Traditional models typically rely on a universal policy for all tasks, facing challenges such as high computational costs and catastrophic […]


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Efficient state preparation for the quantum simulation of molecules in first quantization

Kavli Affiliate: Birgitta Whaley | First 5 Authors: William J. Huggins, Oskar Leimkuhler, Torin F. Stetina, K. Birgitta Whaley, | Summary: The quantum simulation of real molecules and materials is one of the most highly anticipated applications of quantum computing. Algorithms for simulating electronic structure using a first-quantized plane wave representation are especially promising due […]


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