Data Can Speak for Itself: Quality-guided Utilization of Wireless Synthetic Data

Kavli Affiliate: Wei Gao | First 5 Authors: Chen Gong, Bo Liang, Wei Gao, Chenren Xu, | Summary: Generative models have gained significant attention for their ability to produce realistic synthetic data that supplements the quantity of real-world datasets. While recent studies show performance improvements in wireless sensing tasks by incorporating all synthetic data into […]


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Optimized cerebral blood flow measurement in speckle contrast optical spectroscopy via refinement of noise calibration

Kavli Affiliate: Changhuei Yang | First 5 Authors: Ninghe Liu, Yu Xi Huang, Simon Mahler, Changhuei Yang, | Summary: Speckle contrast optical spectroscopy (SCOS) offers a non-invasive and cost-effective method for monitoring cerebral blood flow (CBF). However, extracting accurate CBF from SCOS necessitates precise noise pre-calibration. Errors from this can degrade CBF measurement fidelity, particularly […]


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Quadrotor Morpho-Transition: Learning vs Model-Based Control Strategies

Kavli Affiliate: Morteza Gharib | First 5 Authors: Ioannis Mandralis, Richard M. Murray, Morteza Gharib, , | Summary: Quadrotor Morpho-Transition, or the act of transitioning from air to ground through mid-air transformation, involves complex aerodynamic interactions and a need to operate near actuator saturation, complicating controller design. In recent work, morpho-transition has been studied from […]


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Study of Stability and Consistency of EAS Thermal Neutron Detection at ENDA-64

Kavli Affiliate: Wei Gao | First 5 Authors: Heng-Yu Zhang, Xin-Hua Ma, Tian-Lu Chen, Shu-Wang Cui, Danzengluobu | Summary: Introduction:Electron-Neutron Detector Array (ENDA) is designed to measure thermal neutrons produced by hadronic interactions between cosmic ray extensive air showers (EAS) and the surrounding environment as well as electrons around the cores of EAS. ENDA is […]


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Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals

Kavli Affiliate: Wei Gao | First 5 Authors: Changhao Peng, Yuqi Ye, Wei Gao, , | Summary: Gaussian and Laplacian entropy models are proved effective in learned point cloud attribute compression, as they assist in arithmetic coding of latents. However, we demonstrate through experiments that there is still unutilized information in entropy parameters estimated by […]


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Broadband and high-precision two-level system loss measurement using superconducting multi-wave resonators

Kavli Affiliate: Oskar Painter | First 5 Authors: Cliff Chen, Shahriar Aghaeimeibodi, Yuki Sato, Matthew H. Matheny, Oskar Painter | Summary: Two-level systems (TLS) are known to be a dominant source of dissipation and decoherence in superconducting qubits. Superconducting resonators provide a convenient way to study TLS-induced loss due to easier design and fabrication in […]


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Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library

Kavli Affiliate: Wei Gao | First 5 Authors: Weixun Wang, Shaopan Xiong, Gengru Chen, Wei Gao, Sheng Guo | Summary: We introduce ROLL, an efficient, scalable, and user-friendly library designed for Reinforcement Learning Optimization for Large-scale Learning. ROLL caters to three primary user groups: tech pioneers aiming for cost-effective, fault-tolerant large-scale training, developers requiring flexible […]


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Cavity-mediated cross-cross-resonance gate

Kavli Affiliate: Oskar Painter | First 5 Authors: Alexey V. Gorshkov, Daniel Cohen, Arbel Haim, Amit Rotem, Or Golan | Summary: We propose a cavity-mediated gate between two transmon qubits or other nonlinear superconducting elements. The gate is realized by driving both qubits at a frequency that is near-resonant with the frequency of the cavity. […]


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Helmet ultrasound for brain imaging in post-hemicraniectomy patients

Kavli Affiliate: Lihong V. Wang | First 5 Authors: Yang Zhang, Karteekeya Sastry, Iyla Rossi, Joshua Olick-Gibson, Jonathan J. Russin | Summary: Noninvasive imaging deep into the adult brain at submillimeter and millisecond scales remains a challenge in medical imaging. Here, we report a helmet based ultrasound brain imager built from a customized helmet, a […]


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CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention

Kavli Affiliate: Wei Gao | First 5 Authors: Yuxi Sun, Aoqi Zuo, Wei Gao, Jing Ma, | Summary: Large Language Models (LLMs) often exhibit knowledge disparities across languages. Encouraging LLMs to textit{abstain} when faced with knowledge gaps is a promising strategy to reduce hallucinations in multilingual settings. Current abstention strategies for multilingual scenarios primarily rely […]


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