Zobrazeno 1 - 10
of 7 448
pro vyhledávání: '"Nguyen, Tuan A."'
Autor:
Eyiokur, Fevziye Irem, Huber, Christian, Nguyen, Thai-Binh, Nguyen, Tuan-Nam, Retkowski, Fabian, Ugan, Enes Yavuz, Yaman, Dogucan, Waibel, Alexander
In this paper, we report on communication experiments conducted in the summer of 2022 during a deep dive to the wreck of the Titanic. Radio transmission is not possible in deep sea water, and communication links rely on sonar signals. Due to the low
Externí odkaz:
http://arxiv.org/abs/2410.11434
With the rise of SSL and ASR technologies, the Wav2Vec2 ASR-based model has been fine-tuned for automated speech disorder quality assessment tasks, yielding impressive results and setting a new baseline for Head and Neck Cancer speech contexts. This
Externí odkaz:
http://arxiv.org/abs/2410.08250
Autor:
Ding, Yi, He, Xuan, Nguyen, Tuan Thanh, Song, Wentu, Yakhini, Zohar, Yaakobi, Eitan, Pan, Linqiang, Tang, Xiaohu, Cai, Kui
DNA-based data storage has been attracting significant attention due to its extremely high density, low power consumption, and long duration compared to traditional data storage mediums. Despite the recent advancements in DNA data storage technology,
Externí odkaz:
http://arxiv.org/abs/2410.04886
Accent conversion using discrete units with parallel data synthesized from controllable accented TTS
The goal of accent conversion (AC) is to convert speech accents while preserving content and speaker identity. Previous methods either required reference utterances during inference, did not preserve speaker identity well, or used one-to-one systems
Externí odkaz:
http://arxiv.org/abs/2410.03734
Autor:
Nguyen, Tuan Anh
We prove that multilevel Picard approximations are capable of approximating solutions of semilinear heat equations in $L^{p}$-sense, ${p}\in [2,\infty)$, in the case of gradient-dependent, Lipschitz-continuous nonlinearities, in the sense that the co
Externí odkaz:
http://arxiv.org/abs/2410.00203
Autor:
Neufeld, Ariel, Nguyen, Tuan Anh
We prove that multilevel Picard approximations and deep neural networks with ReLU, leaky ReLU, and softplus activation are capable of approximating solutions of semilinear Kolmogorov PDEs in $L^\mathfrak{p}$-sense, $\mathfrak{p}\in [2,\infty)$, in th
Externí odkaz:
http://arxiv.org/abs/2409.20431
Autor:
Pan, Rui, Nguyen, Tuan Dung, Arora, Hardik, Accomazzi, Alberto, Ghosal, Tirthankar, Ting, Yuan-Sen
Continual pretraining of large language models on domain-specific data has been proposed to enhance performance on downstream tasks. In astronomy, the previous absence of astronomy-focused benchmarks has hindered objective evaluation of these special
Externí odkaz:
http://arxiv.org/abs/2409.19750
Autor:
Doan, Khanh, Vuong, Long Tung, Nguyen, Tuan, Bui, Anh Tuan, Tran, Quyen, Do, Thanh-Toan, Phung, Dinh, Le, Trung
Diffusion models (DM) have become fundamental components of generative models, excelling across various domains such as image creation, audio generation, and complex data interpolation. Signal-to-Noise diffusion models constitute a diverse family cov
Externí odkaz:
http://arxiv.org/abs/2408.04221
We consider a novel active learning problem motivated by the need of learning machine learning models for health monitoring in wireless body area network (WBAN). Due to the limited resources at body sensors, collecting each unlabeled sample in WBAN i
Externí odkaz:
http://arxiv.org/abs/2408.02849
This paper introduces SHANGUS, an advanced framework combining Deep Reinforcement Learning (DRL) with heuristic optimization to improve frontier-based exploration efficiency in unknown environments, particularly for intelligent vehicles in autonomous
Externí odkaz:
http://arxiv.org/abs/2407.18892