Zobrazeno 1 - 10
of 270
pro vyhledávání: '"Viet Hoàng"'
Autor:
Vo, Thieu N., Tran, Viet-Hoang, Huu, Tho Tran, The, An Nguyen, Tran, Thanh, Nguyen-Nhat, Minh-Khoi, Pham, Duy-Tung, Nguyen, Tan Minh
Neural Functional Networks (NFNs) have gained increasing interest due to their wide range of applications, including extracting information from implicit representations of data, editing network weights, and evaluating policies. A key design principl
Externí odkaz:
http://arxiv.org/abs/2410.04213
Autor:
Tran, Viet-Hoang, Vo, Thieu N., The, An Nguyen, Huu, Tho Tran, Nguyen-Nhat, Minh-Khoi, Tran, Thanh, Pham, Duy-Tung, Nguyen, Tan Minh
This paper systematically explores neural functional networks (NFN) for transformer architectures. NFN are specialized neural networks that treat the weights, gradients, or sparsity patterns of a deep neural network (DNN) as input data and have prove
Externí odkaz:
http://arxiv.org/abs/2410.04209
Sliced Wasserstein (SW) distance in Optimal Transport (OT) is widely used in various applications thanks to its statistical effectiveness and computational efficiency. On the other hand, Tree Wassenstein (TW) and Tree-sliced Wassenstein (TSW) are ins
Externí odkaz:
http://arxiv.org/abs/2406.13725
We show how random subspace methods can be adapted to estimating local projections with many controls. Random subspace methods have their roots in the machine learning literature and are implemented by averaging over regressions estimated over differ
Externí odkaz:
http://arxiv.org/abs/2406.01002
Autor:
Pham, Viet Hoang, Ahn, Hyo-Sung
This paper considers an optimal energy management problem for a network of interconnected microgrids. A model predictive control (MPC) approach is used to avoid capacity constraint violation and to cope with uncertainties of forecasted power demands.
Externí odkaz:
http://arxiv.org/abs/2401.02581
Pareto Set Learning (PSL) is a promising approach for approximating the entire Pareto front in multi-objective optimization (MOO) problems. However, existing derivative-free PSL methods are often unstable and inefficient, especially for expensive bla
Externí odkaz:
http://arxiv.org/abs/2311.15297
Autor:
Nguyen, Viet Anh, Le, Viet Hoang, Malgrey, Loïc, Sarelli, Eirini, Luu, Dang-Khue, Chu, Ha Linh, Tong, Cong Quang, Lam, Vu Dinh, Seassal, Christian, Le-Van, Quynh, Nguyen, Hai Son
This study explores exceptional points (EPs) in photonic crystals (PhCs) and introduces a novel method for their single-shot observation. Exceptional points are spectral singularities found in non-Hermitian systems, such as leaky PhC slabs. However,
Externí odkaz:
http://arxiv.org/abs/2309.01712
Autor:
Pham, Viet Hoang, Ahn, Hyo-Sung
This paper designs a distributed least square solution method for a linear algebraic equation over a multiagent network. The coefficient matrix is divided into multiple blocks, and each agent only knows a subset of these blocks. The designed method i
Externí odkaz:
http://arxiv.org/abs/2303.07884
Autor:
Trinh, Quoc Trung, Nguyen, Sy Khiem, Nguyen, Dinh Hai, Tran, Gia Khanh, Le, Viet Hoang, Nguyen, Hai Son, Le-Van, Quynh
Publikováno v:
Optics Letters Vol. 47, Issue 6, pp. 1510-1513 (2022)
We present a numerical study on a 2D array of plasmonic structures covered by a subwavelength film. We explain the origin of surface lattice resonances (SLRs) using coupled dipole approximation and show that the diffraction-assisted plasmonic resonan
Externí odkaz:
http://arxiv.org/abs/2203.14590
Publikováno v:
In Economic Modelling November 2024 140
