Zobrazeno 1 - 10
of 10 911
pro vyhledávání: '"Nguyen, An V."'
Autor:
Nguyen, Hai V., Bui-Thanh, Tan
Efficient real-time solvers for forward and inverse problems are essential in engineering and science applications. Machine learning surrogate models have emerged as promising alternatives to traditional methods, offering substantially reduced comput
Externí odkaz:
http://arxiv.org/abs/2412.07010
Autor:
Ly, Son Thai, Nguyen, Hien V.
Adapting vision transformer foundation models through parameter-efficient fine-tuning (PEFT) methods has become increasingly popular. These methods optimize a limited subset of parameters, enabling efficient adaptation without the need to fine-tune t
Externí odkaz:
http://arxiv.org/abs/2411.19297
Autor:
Nguyen, Nhan Thanh, Nguyen, Ly V., Shlezinger, Nir, Eldar, Yonina C., Swindlehurst, A. Lee, Juntti, Markku
In this paper, we propose a low-complexity and fast hybrid beamforming design for joint communications and sensing (JCAS) based on deep unfolding. We first derive closed-form expressions for the gradients of the communications sum rate and sensing be
Externí odkaz:
http://arxiv.org/abs/2411.17747
Autor:
Nguyen, Nhan Thanh, Nguyen, Van-Dinh, Nguyen, Hieu V., Ngo, Hien Quoc, Swindlehurst, A. Lee, Juntti, Markku
Integrated sensing and communications (ISAC) is envisioned as a key feature in future wireless communications networks. Its integration with massive multiple-input-multiple-output (MIMO) techniques promises to leverage substantial spatial beamforming
Externí odkaz:
http://arxiv.org/abs/2411.10723
Mixture of Experts (MoEs) plays an important role in the development of more efficient and effective large language models (LLMs). Due to the enormous resource requirements, studying large scale MoE algorithms remain in-accessible to many researchers
Externí odkaz:
http://arxiv.org/abs/2411.00918
Autor:
Hang, Nguyen T. V., Sarabi, Ebrahim
$\mathcal C^2$-partial smoothness of functions has been an important subject of research in optimization, on both theoretical and algorithmic aspects, since it was first introduced by Lewis in 2002. Our work aims at providing a fresh variational anal
Externí odkaz:
http://arxiv.org/abs/2411.00655
Precoding is a critical and long-standing technique in multi-user communication systems. However, the majority of existing precoding methods do not consider channel coding in their designs. In this paper, we consider the precoding problem in multi-us
Externí odkaz:
http://arxiv.org/abs/2410.22640
We analyze the error rates of the Hamiltonian Monte Carlo algorithm with leapfrog integrator for Bayesian neural network inference. We show that due to the non-differentiability of activation functions in the ReLU family, leapfrog HMC for networks wi
Externí odkaz:
http://arxiv.org/abs/2410.22065
Autor:
Manh, Dung Nguyen, Chau, Thang Phan, Hai, Nam Le, Doan, Thong T., Nguyen, Nam V., Pham, Quang, Bui, Nghi D. Q.
Recent advancements in Code Large Language Models (CodeLLMs) have predominantly focused on open-ended code generation tasks, often neglecting the critical aspect of code understanding and comprehension. To bridge this gap, we present CodeMMLU, a comp
Externí odkaz:
http://arxiv.org/abs/2410.01999
Real-time accurate solutions of large-scale complex dynamical systems are critically needed for control, optimization, uncertainty quantification, and decision-making in practical engineering and science applications, particularly in digital twin con
Externí odkaz:
http://arxiv.org/abs/2409.18371