Dinh Dung - RankMe

44 papers Journal 44

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Approximation of PDE solution manifolds: Sparse-grid interpolation and quadrature. CoRR Dinh Dung, Van Kien Nguyen, Duong Thanh Pham, Christoph Schwab
2026	J	`jnl`	Elliptic PDEs on log-Gaussian Shapes: Sparsity and Finite Element Discretization. CoRR Dinh Dung, Helmut Harbrecht, Van Kien Nguyen, Christoph Schwab
2026	J	`jnl`	Piecewise-polynomial interpolations and quadratures for parametric PDEs with log-Laplace random inputs. CoRR Dinh Dung
2026	J	`jnl`	Sparsity for parametric PDEs with log-gamma random inputs and applications. CoRR Dinh Dung, Van Kien Nguyen, Viet Ha Hoang
2026	J	`jnl`	Weighted approximate sampling recovery and integration based on B-spline interpolation and quasi-interpolation. J. Complex. Dinh Dung
2026	J	`jnl`	Weighted sampling recovery of functions with mixed smoothness. J. Complex. Dinh Dung
2025	J	`jnl`	Laguerre- and Laplace-weighted integration of mixed-smoothness functions. CoRR Dinh Dung
2025	J	`jnl`	Simultaneous spatial-parametric collocation approximation for parametric PDEs with log-normal random inputs. CoRR Dinh Dung
2025	J	`jnl`	Weighted approximate sampling recovery and integration based on B-spline interpolation and quasi-interpolation. CoRR Dinh Dung
2024	J	`jnl`	Sampling recovery in Bochner spaces and applications to parametric PDEs with random inputs. CoRR Felix Bartel, Dinh Dung
2024	J	`jnl`	Weighted hyperbolic cross polynomial approximation. CoRR Dinh Dung
2024	J	`jnl`	Weighted sampling recovery of functions with mixed smoothness. CoRR Dinh Dung
2023	J	`jnl`	Deep ReLU neural network approximation in Bochner spaces and applications to parametric PDEs. J. Complex. Dinh Dung, Van Kien Nguyen, Duong Thanh Pham
2023	J	`jnl`	Numerical weighted integration of functions having mixed smoothness. J. Complex. Dinh Dung
2023	J	`jnl`	Sparse-grid sampling recovery and numerical integration of functions having mixed smoothness. CoRR Dinh Dung
2022	J	`jnl`	Analyticity and sparsity in uncertainty quantification for PDEs with Gaussian random field inputs. CoRR Dinh Dung, Van Kien Nguyen, Christoph Schwab, Jakob Zech
2022	J	`jnl`	Numerical weighted integration of functions having mixed smoothness. CoRR Dinh Dung
2022	J	`jnl`	Optimal numerical integration and approximation of functions on R CoRR Dinh Dung, Van Kien Nguyen
2021	J	`jnl`	Collocation approximation by deep neural ReLU networks for parametric elliptic PDEs with lognormal inputs. CoRR Dinh Dung
2021	J	`jnl`	Computation complexity of deep ReLU neural networks in high-dimensional approximation. CoRR Dinh Dung, Van Kien Nguyen, Mai Xuan Thao
2021	J	`jnl`	Deep ReLU neural network approximation of parametric and stochastic elliptic PDEs with lognormal inputs. CoRR Dinh Dung, Van Kien Nguyen, Duong Thanh Pham
2021	J	`jnl`	Deep ReLU neural networks in high-dimensional approximation. Neural Networks Dinh Dung, Van Kien Nguyen
2021	J	`jnl`	High-dimensional nonlinear approximation by parametric manifolds in Hölder-Nikol'skii spaces of mixed smoothness. CoRR Dinh Dung, Van Kien Nguyen
2020	J	`jnl`	Approximation by linear combinations of translates of a single function. CoRR Dinh Dung, Charles A. Micchelli, Vu Nhat Huy
2020	J	`jnl`	Dimension-dependent error estimates for sampling recovery on Smolyak grids based on B-spline quasi-interpolation. J. Approx. Theory Dinh Dung, Mai Xuan Thao
2020	J	`jnl`	Sparse-grid sampling recovery and deep ReLU neural networks in high-dimensional approximation. CoRR Dinh Dung, Van Kien Nguyen
2019	J	`jnl`	Approximation by translates of a single function of functions in space induced by the convolution with a given function. Appl. Math. Comput. Dinh Dung, Charles A. Micchelli, Vu Nhat Huy
2018	J	`jnl`	ε-dimension in infinite dimensional hyperbolic cross approximation and application to parametric elliptic PDEs. J. Complex. Dinh Dung, Michael Griebel, Vu Nhat Huy, Christian Rieger
2017	J	`jnl`	Fully Discrete Approximation of Parametric and Stochastic Elliptic PDEs. SIAM J. Numer. Anal. Markus Bachmayr, Albert Cohen, Dinh Dung, Christoph Schwab
2016	J	`jnl`	Corrigendum to "Multivariate approximation by translates of the Korobov function on Smolyak grids" [J. Complexity 29 (2013) 424-437]. J. Complex. Dinh Dung, Charles A. Micchelli
2016	J	`jnl`	Hyperbolic cross approximation in infinite dimensions. J. Complex. Dinh Dung, Michael Griebel
2016	J	`jnl`	New explicit-in-dimension estimates for the cardinality of high-dimensional hyperbolic crosses and approximation of functions having mixed smoothness. J. Complex. Alexey Chernov, Dinh Dung
2016	J	`jnl`	Sampling and Cubature on Sparse Grids Based on a B-spline Quasi-Interpolation. Found. Comput. Math. Dinh Dung
2016	J	`jnl`	Sampling on energy-norm based sparse grids for the optimal recovery of Sobolev type functions in H J. Approx. Theory Glenn Byrenheid, Dinh Dung, Winfried Sickel, Tino Ullrich
2013	J	`jnl`	Continuous algorithms in adaptive sampling recovery. J. Approx. Theory Dinh Dung
2013	J	`jnl`	Multivariate approximation by translates of the Korobov function on Smolyak grids. J. Complex. Dinh Dung, Charles A. Micchelli
2013	J	`jnl`	N-Widths and ε-Dimensions for High-Dimensional Approximations. Found. Comput. Math. Dinh Dung, Tino Ullrich
2012	J	`jnl`	Erratum to: Optimal adaptive sampling recovery. Adv. Comput. Math. Dinh Dung
2011	J	`jnl`	B-spline quasi-interpolant representations and sampling recovery of functions with mixed smoothness. J. Complex. Dinh Dung
2011	J	`jnl`	Optimal adaptive sampling recovery. Adv. Comput. Math. Dinh Dung
2011	J	`jnl`	Whitney type inequalities for local anisotropic polynomial approximation. J. Approx. Theory Dinh Dung, Tino Ullrich
2009	J	`jnl`	Non-linear sampling recovery based on quasi-interpolant wavelet representations. Adv. Comput. Math. Dinh Dung
2005	J	`jnl`	Polynomial projectors preserving homogeneous partial differential equations. J. Approx. Theory Dinh Dung, Jean-Paul Calvi, Nguyên Tiên Trung
2001	J	`jnl`	Non-linear Approximations Using Sets of Finite Cardinality or Finite Pseudo-dimension. J. Complex. Dinh Dung