Zobrazeno 1 - 10
of 61 717
pro vyhledávání: '"A Tsao"'
Quantum correlations are essential to the emergent behaviors of quantum systems, supporting key phenomena such as localization or delocalization of particles, quantum avalanches in many-body localized systems, and quantum information transfer. In ope
Externí odkaz:
http://arxiv.org/abs/2412.13524
Autor:
Desai, Saaketh, Addamane, Sadhvikas, Tsao, Jeffrey Y., Brener, Igal, Swiler, Laura P., Dingreville, Remi, Iyer, Prasad P.
Advances in robotic control and sensing have propelled the rise of automated scientific laboratories capable of high-throughput experiments. However, automated scientific laboratories are currently limited by human intuition in their ability to effic
Externí odkaz:
http://arxiv.org/abs/2412.12347
Autor:
Chen, Tsao-Hsien
A class of Weyl group equivariant $\ell$-adic complexes on a torus, called the central complexes, was introduced and studied in our previous work on Braverman-Kazhdan conjecture. In this note we show that the category of central complexes admits func
Externí odkaz:
http://arxiv.org/abs/2412.11296
We develop compositional learning algorithms for coupled dynamical systems. While deep learning has proven effective at modeling complex relationships from data, compositional couplings between system components typically introduce algebraic constrai
Externí odkaz:
http://arxiv.org/abs/2412.11215
Electrocardiogram (ECG) signals play a crucial role in diagnosing cardiovascular diseases. To reduce power consumption in wearable or portable devices used for long-term ECG monitoring, super-resolution (SR) techniques have been developed, enabling t
Externí odkaz:
http://arxiv.org/abs/2412.04861
The inherent non-linearity of intensity correlation functions can be used to spatially distinguish identical emitters beyond the diffraction limit, as achieved, for example, in Super-Resolution Optical Fluctuation Imaging (SOFI). Here, we propose a c
Externí odkaz:
http://arxiv.org/abs/2411.19369
Autor:
Liu, Yu-Tung, Wang, Kuan-Chen, Chao, Rong, Siniscalchi, Sabato Marco, Yeh, Ping-Cheng, Tsao, Yu
Surface electromyography (sEMG) recordings can be contaminated by electrocardiogram (ECG) signals when the monitored muscle is closed to the heart. Traditional signal-processing-based approaches, such as high-pass filtering and template subtraction,
Externí odkaz:
http://arxiv.org/abs/2411.18902
Autor:
Tsao, Li-Yuan, Chen, Hao-Wei, Chung, Hao-Wei, Sun, Deqing, Lee, Chun-Yi, Chan, Kelvin C. K., Yang, Ming-Hsuan
Text-to-image diffusion models have emerged as powerful priors for real-world image super-resolution (Real-ISR). However, existing methods may produce unintended results due to noisy text prompts and their lack of spatial information. In this paper,
Externí odkaz:
http://arxiv.org/abs/2411.18662
Multimodal deepfakes involving audiovisual manipulations are a growing threat because they are difficult to detect with the naked eye or using unimodal deep learningbased forgery detection methods. Audiovisual forensic models, while more capable than
Externí odkaz:
http://arxiv.org/abs/2411.09266
Deep Learning has been successfully applied in diverse fields, and its impact on deepfake detection is no exception. Deepfakes are fake yet realistic synthetic content that can be used deceitfully for political impersonation, phishing, slandering, or
Externí odkaz:
http://arxiv.org/abs/2411.07650