Non-Intrusive Inference Reduced Order Model for Fluids Using Deep Multistep Neural Network von Xie, Xuping, Zhang, Guannan, Webster, Clayton G.

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Analysis of quasi-optimal polynomial approximations for parameterized PDEs with deterministic and stochastic coefficients von Tran, Hoang, Webster, Clayton G., Zhang, Guannan

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Evolve Filter Stabilization Reduced-Order Model for Stochastic Burgers Equation von Xie, Xuping, Bao, Feng, Webster, Clayton

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Polynomial approximation via compressed sensing of high-dimensional functions on lower sets von CHKIFA, ABDELLAH, DEXTER, NICK, TRAN, HOANG, WEBSTER, CLAYTON G.

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Stochastic finite element methods for partial differential equations with random input data von Gunzburger, Max D., Webster, Clayton G., Zhang, Guannan

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On the Lebesgue constant of weighted Leja points for Lagrange interpolation on unbounded domains von Jantsch, Peter, Webster, Clayton G, Zhang, Guannan

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A dynamically adaptive sparse grids method for quasi-optimal interpolation of multidimensional functions von Stoyanov, Miroslav K., Webster, Clayton G.

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On the Strong Convergence of Forward-Backward Splitting in Reconstructing Jointly Sparse Signals von Dexter, Nick, Tran, Hoang, Webster, Clayton G.

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Reduced basis methods for nonlocal diffusion problems with random input data von Guan, Qingguang, Gunzburger, Max, Webster, Clayton G., Zhang, Guannan

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Robust Learning with Implicit Residual Networks von Reshniak, Viktor, Webster, Clayton G.

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Sparse Grids and Applications - Miami 2016 von Garcke, Jochen, Pflüger, Dirk, Webster, Clayton G, Zhang, Guannan

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Explicit cost bounds of stochastic Galerkin approximations for parameterized PDEs with random coefficients von Dexter, Nick C., Webster, Clayton G., Zhang, Guannan

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Adaptive Sparse Grid Construction in a Context of Local Anisotropy and Multiple Hierarchical Parents von Stoyanov, Miroslav

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Smolyak's Algorithm: A Powerful Black Box for the Acceleration of Scientific Computations von Tempone, Raúl, Wolfers, Sören

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Analysis of the ratio of ℓ1 and ℓ2 norms in compressed sensing von Xu, Yiming, Narayan, Akil, Tran, Hoang, Webster, Clayton G.

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On the Convergence Rate of Sparse Grid Least Squares Regression von Bohn, Bastian

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Multilevel Adaptive Stochastic Collocation with Dimensionality Reduction von Farcaş, Ionuţ-Gabriel, Sârbu, Paul Cristian, Bungartz, Hans-Joachim, Neckel, Tobias, Uekermann, Benjamin

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Sparse Grid Quadrature Rules Based on Conformal Mappings von Jantsch, P., Webster, C. G.

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Comparing Nested Sequences of Leja and PseudoGauss Points to Interpolate in 1D and Solve the Schroedinger Equation in 9D von Avila, Gustavo, Oettershagen, Jens, Carrington, Tucker

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Fundamental Splines on Sparse Grids and Their Application to Gradient-Based Optimization von Valentin, Julian, Pflüger, Dirk

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