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pro vyhledávání: '"Whan A"'
Interpreting human neural signals to decode static speech intentions such as text or images and dynamic speech intentions such as audio or video is showing great potential as an innovative communication tool. Human communication accompanies various f
Externí odkaz:
http://arxiv.org/abs/2411.09211
Existing multimodal retrieval systems often rely on disjointed models for image comprehension, such as object detectors and caption generators, leading to cumbersome implementations and training processes. To overcome this limitation, we propose an e
Externí odkaz:
http://arxiv.org/abs/2411.08334
Emotional text-to-speech (TTS) technology has achieved significant progress in recent years; however, challenges remain owing to the inherent complexity of emotions and limitations of the available emotional speech datasets and models. Previous studi
Externí odkaz:
http://arxiv.org/abs/2411.02625
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
Autor:
Chung, Seung Whan, Choi, Youngsoo, Roy, Pratanu, Roy, Thomas, Lin, Tiras Y., Nguyen, Du T., Hahn, Christopher, Duoss, Eric B., Baker, Sarah E.
Computational physics simulation can be a powerful tool to accelerate industry deployment of new scientific technologies. However, it must address the challenge of computationally tractable, moderately accurate prediction at large industry scales, an
Externí odkaz:
http://arxiv.org/abs/2410.21583
Autor:
Chung, Seung Whan, Choi, Youngsoo, Roy, Pratanu, Roy, Thomas, Lin, Tiras Y., Nguyen, Du T., Hahn, Christopher, Duoss, Eric B., Baker, Sarah E.
Scaling up new scientific technologies from laboratory to industry often involves demonstrating performance on a larger scale. Computer simulations can accelerate design and predictions in the deployment process, though traditional numerical methods
Externí odkaz:
http://arxiv.org/abs/2410.21534
Autor:
Chang, Gyu Whan, Reinhart, Andreas
An integral domain $D$ is a valuation ideal factorization domain (VIFD) if each nonzero principal ideal of $D$ can be written as a finite product of valuation ideals. Clearly, $\pi$-domains are VIFDs. In this paper, we study the ring-theoretic proper
Externí odkaz:
http://arxiv.org/abs/2410.16471
Predicting the long-term behavior of chaotic systems remains a formidable challenge due to their extreme sensitivity to initial conditions and the inherent limitations of traditional data-driven modeling approaches. This paper introduces a novel fram
Externí odkaz:
http://arxiv.org/abs/2410.05572
Autor:
Kim, Dae-Yun, Berrai, Imane, Suraj, T. S., Roussigne, Yves, Yang, Shuhan, Belmeguenai, Mohamed, Hu, Fanrui, Shi, Guoyi, Tan, Hui Ru, Huang, Jifei, Soumyanarayanan, Anjan, Kim, Kyoung-Whan, Cherif, Salim Mourad, Yang, Hyunsoo
Chiral magnets have garnered significant interest due to the emergence of unique phenomena prohibited in inversion-symmetric magnets. While the equilibrium characteristics of chiral magnets have been extensively explored through the Dzyaloshinskii-Mo
Externí odkaz:
http://arxiv.org/abs/2409.04713
This paper introduces PeriodWave-Turbo, a high-fidelity and high-efficient waveform generation model via adversarial flow matching optimization. Recently, conditional flow matching (CFM) generative models have been successfully adopted for waveform g
Externí odkaz:
http://arxiv.org/abs/2408.08019