Zobrazeno 1 - 10
of 242 026
pro vyhledávání: '"Hye, A."'
We study dark gauge-mediated supersymmetry breaking (dark GMSB) in a theory with a new unbroken $U(1)_{D}$ local symmetry and massless dark photon. Messenger fields charged under both Standard Model and dark gauge symmetries produce new soft supersym
Externí odkaz:
http://arxiv.org/abs/2412.17777
Autor:
Shi, Jiatong, Shim, Hye-jin, Tian, Jinchuan, Arora, Siddhant, Wu, Haibin, Petermann, Darius, Yip, Jia Qi, Zhang, You, Tang, Yuxun, Zhang, Wangyou, Alharthi, Dareen Safar, Huang, Yichen, Saito, Koichi, Han, Jionghao, Zhao, Yiwen, Donahue, Chris, Watanabe, Shinji
In this work, we introduce VERSA, a unified and standardized evaluation toolkit designed for various speech, audio, and music signals. The toolkit features a Pythonic interface with flexible configuration and dependency control, making it user-friend
Externí odkaz:
http://arxiv.org/abs/2412.17667
Retinal image analysis is crucial for diagnosing and treating eye diseases, yet generating accurate medical reports from images remains challenging due to variability in image quality and pathology, especially with limited labeled data. Previous Tran
Externí odkaz:
http://arxiv.org/abs/2412.17251
We present a general theoretical framework for group resetting dynamics in multi-agent systems in a drift potential. This setup contrasts with a typical resetting problem that involves a single searcher looking for a target, with resetting traditiona
Externí odkaz:
http://arxiv.org/abs/2412.02524
Autor:
Jang, Minguk, Chung, Hye Won
Test-time adaptation (TTA) is an effective approach to mitigate performance degradation of trained models when encountering input distribution shifts at test time. However, existing TTA methods often suffer significant performance drops when facing a
Externí odkaz:
http://arxiv.org/abs/2411.15204
The significant inter-subject variability in electroencephalogram (EEG) signals often leads to knowledge being overwritten as new tasks are introduced in continual EEG decoding. While retraining on the entire dataset with each new input can prevent f
Externí odkaz:
http://arxiv.org/abs/2411.11874
Multimodal learning has been a popular area of research, yet integrating electroencephalogram (EEG) data poses unique challenges due to its inherent variability and limited availability. In this paper, we introduce a novel multimodal framework that a
Externí odkaz:
http://arxiv.org/abs/2411.00822
When assisting people in daily tasks, robots need to accurately interpret visual cues and respond effectively in diverse safety-critical situations, such as sharp objects on the floor. In this context, we present M-CoDAL, a multimodal-dialogue system
Externí odkaz:
http://arxiv.org/abs/2410.14141
Autor:
Lee, Eun Hye, Takloo-Bighash, Ramin
In this paper we study the twisted Shintani zeta function over number fields.
Externí odkaz:
http://arxiv.org/abs/2410.11166
Autor:
Park, Hye-Jin, Battisti, Andrew J., Wisnioski, Emily, Cortese, Luca, Seibert, Mark, Grasha, Kathryn, Madore, Barry F., Groves, Brent, Rich, Jeff A., Beaton, Rachael L., Chen, Qian-Hui, Mun, Marcie, McClure-Griffiths, Naomi M., de Blok, W. J. G., Kewley, Lisa J.
We present the spatially resolved relationship between the dust-to-gas mass ratio (DGR) and gas-phase metallicity (Zgas or 12+log(O/H)) (i.e., DGR-Zgas relation) of 11 nearby galaxies with a large metallicity range (1.5 dex of 12+log(O/H)) at (sub-)k
Externí odkaz:
http://arxiv.org/abs/2410.02222