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2020 – today
- 2023
[j10]Dinh Dung
, Van Kien Nguyen, Duong Thanh Pham:
Deep ReLU neural network approximation in Bochner spaces and applications to parametric PDEs. J. Complex. 79: 101779 (2023)- 2022
- [j9]Van Dung Nguyen, Van Kien Nguyen, Winfried Sickel:
s-Numbers of embeddings of weighted Wiener algebras. J. Approx. Theory 279: 105745 (2022) - [i7]Dinh Dung, Van Kien Nguyen, Christoph Schwab, Jakob Zech:
Analyticity and sparsity in uncertainty quantification for PDEs with Gaussian random field inputs. CoRR abs/2201.01912 (2022) - [i6]Van Kien Nguyen:
Analyticity of Parametric and Stochastic Elliptic Eigenvalue Problems with an Application to Quasi-Monte Carlo Methods. CoRR abs/2202.02530 (2022) - [i5]Dinh Dung, Van Kien Nguyen:
Optimal numerical integration and approximation of functions on Rd equipped with Gaussian measure. CoRR abs/2207.01155 (2022) - 2021
- [j8]Dinh Dung, Van Kien Nguyen:
Deep ReLU neural networks in high-dimensional approximation. Neural Networks 142: 619-635 (2021) - [i4]Dinh Dung, Van Kien Nguyen:
High-dimensional nonlinear approximation by parametric manifolds in Hölder-Nikol'skii spaces of mixed smoothness. CoRR abs/2102.04370 (2021) - [i3]Dinh Dung, Van Kien Nguyen, Mai Xuan Thao:
Computation complexity of deep ReLU neural networks in high-dimensional approximation. CoRR abs/2103.00815 (2021) - [i2]Dinh Dung, Van Kien Nguyen, Duong Thanh Pham:
Deep ReLU neural network approximation of parametric and stochastic elliptic PDEs with lognormal inputs. CoRR abs/2111.05854 (2021) - 2020
- [j7]Van Kien Nguyen:
Greedy algorithms and Kolmogorov widths in Banach spaces. J. Approx. Theory 251: 105344 (2020) - [j6]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): 2953-2980 (2020) - [i1]Dinh Dung, Van Kien Nguyen:
Sparse-grid sampling recovery and deep ReLU neural networks in high-dimensional approximation. CoRR abs/2007.08729 (2020)
2010 – 2019
- 2018
- [j5]Glenn Byrenheid, Robert J. Kunsch, Van Kien Nguyen:
Monte Carlo methods for uniform approximation on periodic Sobolev spaces with mixed smoothness. J. Complex. 46: 90-102 (2018) - 2017
- [j4]Van Kien Nguyen:
Gelfand numbers of embeddings of mixed Besov spaces. J. Complex. 41: 35-57 (2017) - [j3]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. 64-I(6): 1285-1298 (2017) - 2016
- [j2]Van Kien Nguyen:
Weyl and Bernstein numbers of embeddings of Sobolev spaces with dominating mixed smoothness. J. Complex. 36: 46-73 (2016) - [c4]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: 95-98 - [c3]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: 107-110 - [c2]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: 111-114 - [c1]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: 119-122 - 2015
- [j1]Van Kien Nguyen, Winfried Sickel:
Weyl numbers of embeddings of tensor product Besov spaces. J. Approx. Theory 200: 170-220 (2015)
Coauthor Index
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