Zobrazeno 1 - 10
of 9 997
pro vyhledávání: '"Nguyen,The Anh"'
Autor:
Silva, Allyson, Scherer, Artur, Webb, Zak, Khalid, Abdullah, Kulchytskyy, Bohdan, Kramer, Mia, Nguyen, Kevin, Kong, Xiangzhou, Dagnew, Gebremedhin A., Wang, Yumeng, Nguyen, Huy Anh, Olfert, Katiemarie, Ronagh, Pooya
We propose a novel technique for optimizing a modular fault-tolerant quantum computing architecture, taking into account any desired space-time trade--offs between the number of physical qubits and the fault-tolerant execution time of a quantum algor
Externí odkaz:
http://arxiv.org/abs/2411.04270
Fairness in artificial intelligence and machine learning (AI/ML) models is becoming critically important, especially as decisions made by these systems impact diverse groups. In education, a vital sector for all countries, the widespread application
Externí odkaz:
http://arxiv.org/abs/2410.06423
Autor:
Nguyen, Quang Anh, Tomeh, Nadi, Lebbah, Mustapha, Charnois, Thierry, Azzag, Hanene, Muñoz, Santiago Cordoba
With the continuous development of pre-trained language models, prompt-based training becomes a well-adopted paradigm that drastically improves the exploitation of models for many natural language processing tasks. Prompting also shows great performa
Externí odkaz:
http://arxiv.org/abs/2410.06173
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:
Pham, Duy-Tung, Vu, Thien Trang Nguyen, Nguyen, Tung, Van, Linh Ngo, Nguyen, Duc Anh, Nguyen, Thien Huu
Recent advances in neural topic models have concentrated on two primary directions: the integration of the inference network (encoder) with a pre-trained language model (PLM) and the modeling of the relationship between words and topics in the genera
Externí odkaz:
http://arxiv.org/abs/2409.19749
Unsupervised pre-training on vast amounts of graph data is critical in real-world applications wherein labeled data is limited, such as molecule properties prediction or materials science. Existing approaches pre-train models for specific graph domai
Externí odkaz:
http://arxiv.org/abs/2409.19117
Autor:
Gehlawat, Sahil, Nguyên, Viêt-Anh
Let $\mathcal{F}_d(\mathbb{P}^n)$ be the space of all singular holomorphic foliations by curves on $\mathbb{P}^n$ ($n \geq 2$) with degree $d \geq 1.$ We show that there is subset $\mathcal{S}_d(\mathbb{P}^n)$ of $\mathcal{F}_d(\mathbb{P}^n)$ with fu
Externí odkaz:
http://arxiv.org/abs/2409.06052
Autor:
Tran, Thi Nhan, Duy, Nguyen Vo Anh, Hieu, Nguyen Hoang, Nguyen, Truc Anh, Van, Nguyen To, Phung, Viet Bac Thi, Schall, Peter, Dang, Minh Triet
Enhancing the electronic and diffusion properties of lithium-ion batteries is crucial for improving the performance of the fast-growing energy storage devices. Recently, fast-charging capability of commercial-like lithium-ion anodes with the least mo
Externí odkaz:
http://arxiv.org/abs/2406.13096
Large Language Models (LLMs) have recently advanced many applications on software engineering tasks, particularly the potential for code generation. Among contemporary challenges, code generated by LLMs often suffers from inaccuracies and hallucinati
Externí odkaz:
http://arxiv.org/abs/2408.15658