Joost A. A. Opschoor

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Error bounds for approximations with deep ReLU networks 2017 Dmitry Yarotsky
3
+ PDF Chat Optimal approximation of piecewise smooth functions using deep ReLU neural networks 2018 Philipp Petersen
Felix Voigtlaender
3
+ PDF Chat The Deep Ritz Method: A Deep Learning-Based Numerical Algorithm for Solving Variational Problems 2018 E Weinan
Bing Yu
2
+ PDF Chat ReLU Deep Neural Networks and Linear Finite Elements 2020 Juncai He
Lin Li Lin Li
Jinchao Xu
Chunyue Zheng
2
+ PDF Chat DNN Expression Rate Analysis of High-Dimensional PDEs: Application to Option Pricing 2021 Dennis Elbrächter
Philipp Grohs
Arnulf Jentzen
Christoph Schwab
2
+ PDF Chat Error bounds for approximations with deep ReLU neural networks in Ws,p norms 2019 Ingo Gühring
Gitta Kutyniok
Philipp Petersen
2
+ PDF Chat Regularity of minimizers of integrals of the calculus of variations with non standard growth conditions 1989 Paolo Marcellini
1
+ PDF Chat ANALYTIC REGULARITY FOR LINEAR ELLIPTIC SYSTEMS IN POLYGONS AND POLYHEDRA 2012 Martin Costabel
Monique Dauge
Serge Nicaise
1
+ PDF Chat Asymptotic regularity of solutions to Hartree–Fock equations with Coulomb potential 2008 Heinz‐Jürgen Flad
Reinhold Schneider
Bert‐Wolfgang Schulze
1
+ PDF Chat Exponential convergence of<i>hp</i>quadrature for integral operators with Gevrey kernels 2010 Alexey Chernov
Tobias von Petersdorff
Christoph Schwab
1
+ PDF Chat Is Gauss Quadrature Better than Clenshaw–Curtis? 2008 Lloyd N. Trefethen
1
+ On the Markov inequality in LP-spaces 1990 Pierre Goetgheluck
1
+ On some generalizations of a theorem of A. Markoff 1937 Einar Hille
Gábor Szegő
J. D. Tamarkin
1
+ Regularite gevrey pour le probleme de dirichlet dans des domaines a singularites coniques 1985 Pierre Bolley
Monique Dauge
Jacques Camus
Camus Goulaouic
1
+ Exponential convergence for hp-version and spectral finite element methods for elliptic problems in polyhedra 2015 Dominik Schötzau
Christoph Schwab
1
+ The Chebyshev polynomials 1974 T. J. Rivlin
1
+ On the degree of nonlinear spline approximation in Besov-Sobolev spaces 1990 Peter Oswald
1
+ Regularity of the Solution of Elliptic Problems with Piecewise Analytic Data. Part I. Boundary Value Problems for Linear Elliptic Equation of Second Order 1988 Ivo Babuška
Binghui Guo
1
+ Analytic regularity of Stokes flow on polygonal domains in countably weighted Sobolev spaces 2005 Benqi Guo
Christoph Schwab
1
+ Regularity of the solutions for elliptic problems on nonsmooth domains in ℝ<sup>3</sup>. Part II: Regularity in neighbourhoods of edges 1997 Benqi Guo
Ivo Babuška
1
+ Regularity and Numerical Solution of Eigenvalue Problems with Piecewise Analytic Data 1989 Ivo Babuška
Binghui Guo
John E. Osborn
1
+ PDF Chat Deep vs. shallow networks: An approximation theory perspective 2016 H. N. Mhaskar
Tomaso Poggio
1
+ Approximation Theory and Approximation Practice 2013 Lloyd N. Trefethen
1
+ QTT-finite-element approximation for multiscale problems I: model problems in one dimension 2016 Vladimir Kazeev
Ivan Oseledets
Maxim Rakhuba
Christoph Schwab
1
+ On the decay rate of Chebyshev coefficients 2016 Hassan Majidian
1
+ Caratterizzazioni delle tracce sulla frontiera relative ad alcune classi di funzioni in $n$ variabili 1957 Emilio Gagliardo
1
+ Hidden physics models: Machine learning of nonlinear partial differential equations 2017 Maziar Raissi
George Em Karniadakis
1
+ DGM: A deep learning algorithm for solving partial differential equations 2018 Justin Sirignano
Konstantinos Spiliopoulos
1
+ Optimal approximation of continuous functions by very deep ReLU networks 2018 Dmitry Yarotsky
1
+ Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality 2018 Taiji Suzuki
1
+ PDF Chat Exponential convergence in $$H^1$$ of hp-FEM for Gevrey regularity with isotropic singularities 2019 Michael Feischl
Ch. Schwab
1
+ Adaptive activation functions accelerate convergence in deep and physics-informed neural networks 2019 Ameya D. Jagtap
Kenji Kawaguchi
George Em Karniadakis
1
+ The phase diagram of approximation rates for deep neural networks 2019 Dmitry Yarotsky
Anton Zhevnerchuk
1
+ PDF Chat Finite element quasi-interpolation and best approximation 2016 Alexandre Ern
Jean‐Luc Guermond
1
+ PDF Chat A Framework for the Construction of Upper Bounds on the Number of Affine Linear Regions of ReLU Feed-Forward Neural Networks 2019 Peter Hinz
Sara van de Geer
1
+ Solving many-electron Schrödinger equation using deep neural networks 2019 Jiequn Han
Linfeng Zhang
E Weinan
1
+ PDF Chat Multipatch approximation of the de Rham sequence and its traces in isogeometric analysis 2019 Annalisa Buffa
Jürgen Dölz
Stefan Kurz
Sebastian Schöps
Rafael Vázquez
Felix Wolf
1
+ PDF Chat Analyticity and hp discontinuous Galerkin approximation of nonlinear Schr\"odinger eigenproblems 2021 Yvon Maday
Carlo Marcati
1
+ Deep Network Approximation for Smooth Functions 2020 Jianfeng Lu
Zuowei Shen
Haizhao Yang
Zhang Shi-jun
1
+ B-PINNs: Bayesian physics-informed neural networks for forward and inverse PDE problems with noisy data 2020 Liu Yang
Xuhui Meng
George Em Karniadakis
1
+ PDF Chat DeepXDE: A Deep Learning Library for Solving Differential Equations 2021 Lu Lu
Xuhui Meng
Zhiping Mao
George Em Karniadakis
1
+ PDF Chat PFNN: A penalty-free neural network method for solving a class of second-order boundary-value problems on complex geometries 2020 Hailong Sheng
Chao Yang
1
+ PDF Chat <i>Ab initio</i> solution of the many-electron Schrödinger equation with deep neural networks 2020 David Pfau
James S. Spencer
Alexander Matthews
W. M. C. Foulkes
1
+ PDF Chat Analytic Regularity for the Incompressible Navier--Stokes Equations in Polygons 2020 Carlo Marcati
Christoph Schwab
1
+ Error estimates of residual minimization using neural networks for linear PDEs 2020 Yeonjong Shin
Zhongqiang Zhang
George Em Karniadakis
1
+ Weighted analyticity of Hartree-Fock eigenfunctions 2020 Yvon Maday
Carlo Marcati
1
+ PDF Chat Exponential ReLU Neural Network Approximation Rates for Point and Edge Singularities 2022 Carlo Marcati
Joost A. A. Opschoor
Philipp Petersen
Christoph Schwab
1
+ PDF Chat Neural network approximation: Three hidden layers are enough 2021 Zuowei Shen
Haizhao Yang
Zhang Shi-jun
1
+ PDF Chat Regularity and hp discontinuous Galerkin finite element approximation of linear elliptic eigenvalue problems with singular potentials 2019 Yvon Maday
Carlo Marcati
1
+ PDF Chat Deep-neural-network solution of the electronic Schrödinger equation 2020 Jan Hermann
Zeno Schätzle
Frank Noé
1