Van Kien Nguyen

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 20

Top Topics

Low Dimensional Spaces

Linear Approximation

Gaussian Random Field

Top Venues

J. Approx. Theory

Publications

Dinh Dung, Van Kien Nguyen, Duong Thanh Pham
Deep ReLU neural network approximation in Bochner spaces and applications to parametric PDEs. J. Complex. 79 (2023)
Van Kien Nguyen
Analyticity of Parametric and Stochastic Elliptic Eigenvalue Problems with an Application to Quasi-Monte Carlo Methods. CoRR (2022)
Dinh Dung, Van Kien Nguyen, Christoph Schwab, Jakob Zech
Analyticity and sparsity in uncertainty quantification for PDEs with Gaussian random field inputs. CoRR (2022)
Van Dung Nguyen, Van Kien Nguyen, Winfried Sickel
s-Numbers of embeddings of weighted Wiener algebras. J. Approx. Theory 279 (2022)
Dinh Dung, Van Kien Nguyen
equipped with Gaussian measure. CoRR (2022)
Dinh Dung, Van Kien Nguyen, Mai Xuan Thao
Computation complexity of deep ReLU neural networks in high-dimensional approximation. CoRR (2021)
Dinh Dung, Van Kien Nguyen, Duong Thanh Pham
Deep ReLU neural network approximation of parametric and stochastic elliptic PDEs with lognormal inputs. CoRR (2021)
Dinh Dung, Van Kien Nguyen
High-dimensional nonlinear approximation by parametric manifolds in Hölder-Nikol'skii spaces of mixed smoothness. CoRR (2021)
Dinh Dung, Van Kien Nguyen
Deep ReLU neural networks in high-dimensional approximation. Neural Networks 142 (2021)
Van Kien Nguyen
Greedy algorithms and Kolmogorov widths in Banach spaces. J. Approx. Theory 251 (2020)
Dinh Dung, Van Kien Nguyen
Sparse-grid sampling recovery and deep ReLU neural networks in high-dimensional approximation. CoRR (2020)
Markus Bachmayr, Ivan G. Graham, Van Kien Nguyen, Robert Scheichl
Unified Analysis of Periodization-Based Sampling Methods for Matérn Covariances. SIAM J. Numer. Anal. 58 (5) (2020)
Glenn Byrenheid, Robert J. Kunsch, Van Kien Nguyen
Monte Carlo methods for uniform approximation on periodic Sobolev spaces with mixed smoothness. J. Complex. 46 (2018)
Van Kien Nguyen
Gelfand numbers of embeddings of mixed Besov spaces. J. Complex. 41 (2017)
Yo-Sheng Lin, Van Kien Nguyen
94-GHz CMOS Power Amplifiers Using Miniature Dual Y-Shaped Combiner With RL Load. IEEE Trans. Circuits Syst. I Regul. Pap. (6) (2017)
Yo-Sheng Lin, Van Kien Nguyen, Hsin-Chen Lin, Chien-Yo Lee, Chien-Chin Wang, Chih-Chung Chen, Yun-Wen Lin
A 7.2 mW 74∼82 GHz CMOS low-noise amplifier with 17.3±1.5 dB gain and 7.7±0.3 dB NF for automotive radar systems. RWS (2016)
Yo-Sheng Lin, Yun-Wen Lin, Chien-Chin Wang, Chih-Chung Chen, Van Kien Nguyen
Design and implementation of a high-performance CMOS dual balun for millimeter-wave star mixer and four-way power amplifier. RWS (2016)
Van Kien Nguyen
Weyl and Bernstein numbers of embeddings of Sobolev spaces with dominating mixed smoothness. J. Complex. 36 (2016)
Yo-Sheng Lin, Van Kien Nguyen, Jia-Wei Gao, Chien-Chin Wang, Yun-Wen Lin, Chih-Chung Chen
A wideband power amplifier with 13.2 dBm Psat and 19.5% PAE for 60∼94 GHz wireless communication systems in 90 nm CMOS. RWS (2016)
Yo-Sheng Lin, Chih-Chung Chen, Jay-Ming Liu, Yun-Wen Lin, Van Kien Nguyen
A low noise figure and high conversion gain down-conversion mixer for 94 GHz image radar sensors in 90 nm CMOS. RWS (2016)
Van Kien Nguyen, Winfried Sickel
Weyl numbers of embeddings of tensor product Besov spaces. J. Approx. Theory 200 (2015)