A Post-Starburst Pathway to Forming Massive Galaxies and Their Black Holes at z>6

Kavli Affiliate: John D. Silverman | First 5 Authors: Masafusa Onoue, Xuheng Ding, John D. Silverman, Yoshiki Matsuoka, Takuma Izumi | Summary: Understanding the rapid formation of supermassive black holes (SMBHs) in the early universe requires an understanding of how stellar mass grows in the host galaxies. Here, we perform an analysis of rest-frame optical […]


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Improving Anomalous Sound Detection via Low-Rank Adaptation Fine-Tuning of Pre-Trained Audio Models

Kavli Affiliate: Jia Liu | First 5 Authors: Xinhu Zheng, Anbai Jiang, Bing Han, Yanmin Qian, Pingyi Fan | Summary: Anomalous Sound Detection (ASD) has gained significant interest through the application of various Artificial Intelligence (AI) technologies in industrial settings. Though possessing great potential, ASD systems can hardly be readily deployed in real production sites […]


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S-dual of Hamiltonian $mathbf G$ spaces and relative Langlands duality

Kavli Affiliate: Hiraku Nakajima | First 5 Authors: Hiraku Nakajima, , , , | Summary: The S-dual $(mathbf G^veecurvearrowrightmathbf M^vee)$ of the pair $(mathbf Gcurvearrowrightmathbf M)$ of a smooth affine algebraic symplectic manifold $mathbf M$ with hamiltonian action of a complex reductive group $mathbf G$ was introduced implicitly in [arXiv:1706.02112] and explicitly in [arXiv:1807.09038] under […]


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Hitting the mark: Optimising Marked Power Spectra for Cosmology

Kavli Affiliate: Jia Liu | First 5 Authors: Jessica A. Cowell, David Alonso, Jia Liu, , | Summary: Marked power spectra provide a computationally efficient way to extract non-Gaussian information from the matter density field using the usual analysis tools developed for the power spectrum without the need for explicit calculation of higher-order correlators. In […]


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Can We Theoretically Quantify the Impacts of Local Updates on the Generalization Performance of Federated Learning?

Kavli Affiliate: Jia Liu | First 5 Authors: Peizhong Ju, Haibo Yang, Jia Liu, Yingbin Liang, Ness Shroff | Summary: Federated Learning (FL) has gained significant popularity due to its effectiveness in training machine learning models across diverse sites without requiring direct data sharing. While various algorithms along with their optimization analyses have shown that […]


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Pureformer-VC: Non-parallel One-Shot Voice Conversion with Pure Transformer Blocks and Triplet Discriminative Training

Kavli Affiliate: Jia Liu | First 5 Authors: Wenhan Yao, Zedong Xing, Xiarun Chen, Jia Liu, Yongqiang He | Summary: One-shot voice conversion(VC) aims to change the timbre of any source speech to match that of the target speaker with only one speech sample. Existing style transfer-based VC methods relied on speech representation disentanglement and […]


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Spin-dependent exotic interactions

Kavli Affiliate: Yevgeny V. Stadnik | First 5 Authors: Lei Cong, Wei Ji, Pavel Fadeev, Filip Ficek, Min Jiang | Summary: Novel interactions beyond the four known fundamental forces in nature (electromagnetic, gravitational, strong and weak interactions), may arise due to "new physics" beyond the standard model, manifesting as a "fifth force". This review is […]


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EmoAttack: Utilizing Emotional Voice Conversion for Speech Backdoor Attacks on Deep Speech Classification Models

Kavli Affiliate: Jia Liu | First 5 Authors: Wenhan Yao, Zedong XingXiarun Chen, Jia Liu, yongqiang He, Weiping Wen | Summary: Deep speech classification tasks, mainly including keyword spotting and speaker verification, play a crucial role in speech-based human-computer interaction. Recently, the security of these technologies has been demonstrated to be vulnerable to backdoor attacks. […]


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