Jan Glaubitz

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 38

Top Topics

Bayesian Learning

Radial Basis Function

Rbf Neural Network

Top Venues

J. Sci. Comput.

J. Comput. Phys.

SIAM/ASA J. Uncertain. Quantification

Publications

Jan Glaubitz, Anne Gelb
Leveraging Joint Sparsity in Hierarchical Bayesian Learning. SIAM/ASA J. Uncertain. Quantification 12 (2) (2024)
Jan Glaubitz, Jan Nordström, Philipp Öffner
An optimization-based construction procedure for function space based summation-by-parts operators on arbitrary grids. CoRR (2024)
Jan Glaubitz, Jan Nordström, Philipp Öffner
Energy-Stable Global Radial Basis Function Methods on Summation-By-Parts Form. J. Sci. Comput. 98 (1) (2024)
Jonathan Lindbloom, Jan Glaubitz, Anne Gelb
Generalized sparsity-promoting solvers for Bayesian inverse problems: Versatile sparsifying transforms and unknown noise variances. CoRR (2024)
Jan Glaubitz, Hendrik Ranocha, Andrew R. Winters, Michael Schlottke-Lakemper, Philipp Öffner, Gregor Gassner
Generalized upwind summation-by-parts operators and their application to nodal discontinuous Galerkin methods. CoRR (2024)
Jan Glaubitz, Simon-Christian Klein, Jan Nordström, Philipp Öffner
Summation-by-parts operators for general function spaces: The second derivative. J. Comput. Phys. 504 (2024)
Jan Glaubitz, Jan Nordström, Philipp Öffner
Summation-by-Parts Operators for General Function Spaces. SIAM J. Numer. Anal. 61 (2) (2023)
Yao Xiao, Jan Glaubitz
Sequential Image Recovery Using Joint Hierarchical Bayesian Learning. J. Sci. Comput. 96 (1) (2023)
Jan Glaubitz, Anne Gelb
Leveraging joint sparsity in hierarchical Bayesian learning. CoRR (2023)
Hendrik Ranocha, Andrew R. Winters, Michael Schlottke-Lakemper, Philipp Öffner, Jan Glaubitz, Gregor J. Gassner
High-order upwind summation-by-parts methods for nonlinear conservation laws. CoRR (2023)
Jan Glaubitz, Simon-Christian Klein, Jan Nordström, Philipp Öffner
Multi-dimensional summation-by-parts operators for general function spaces: Theory and construction. CoRR (2023)
Jan Glaubitz, Simon-Christian Klein, Jan Nordström, Philipp Öffner
Summation-by-parts operators for general function spaces: The second derivative. CoRR (2023)
Jan Glaubitz, Anne Gelb, Guohui Song
Generalized Sparse Bayesian Learning and Application to Image Reconstruction. SIAM/ASA J. Uncertain. Quantification 11 (1) (2023)
Jan Glaubitz, Jonah A. Reeger
Towards stability results for global radial basis function based quadrature formulas. CoRR (2023)
Jan Glaubitz, Simon-Christian Klein, Jan Nordström, Philipp Öffner
Multi-dimensional summation-by-parts operators for general function spaces: Theory and construction. J. Comput. Phys. 491 (2023)
Yao Xiao, Jan Glaubitz, Anne Gelb, Guohui Song
Sequential Image Recovery from Noisy and Under-Sampled Fourier Data. J. Sci. Comput. 91 (3) (2022)
Jan Glaubitz, Jan Nordström, Philipp Öffner
Summation-by-parts operators for general function spaces. CoRR (2022)
Jan Glaubitz, Anne Gelb, Guohui Song
Generalized sparse Bayesian learning and application to image reconstruction. CoRR (2022)
Jan Glaubitz, Jan Nordström, Philipp Öffner
Energy-stable global radial basis function methods on summation-by-parts form. CoRR (2022)
Yao Xiao, Jan Glaubitz, Anne Gelb, Guohui Song
Sequential image recovery from noisy and under-sampled Fourier data. CoRR (2022)
Yao Xiao, Jan Glaubitz
Sequential image recovery using joint hierarchical Bayesian learning. CoRR (2022)
Jan Glaubitz
Construction and application of provable positive and exact cubature formulas. CoRR (2021)
Jan Glaubitz, Anne Gelb
Stabilizing Radial Basis Function Methods for Conservation Laws Using Weakly Enforced Boundary Conditions. J. Sci. Comput. 87 (2) (2021)
Jan Glaubitz
Stable high-order cubature formulas for experimental data. J. Comput. Phys. 447 (2021)
Jan Glaubitz, Élise Le Mélédo, Philipp Öffner
Towards stable radial basis function methods for linear advection problems. Comput. Math. Appl. 85 (2021)
Jan Glaubitz, Jonah Reeger
Towards stability of radial basis function based cubature formulas. CoRR (2021)
Jan Glaubitz, Élise Le Mélédo, Philipp Öffner
Towards Stable Radial Basis Function Methods for Linear Advection Problems. CoRR (2021)
Jan Glaubitz, Anne Gelb
Stabilizing Radial Basis Function Methods for Conservation Laws Using Weakly Enforced Boundary Conditions. CoRR (2021)
Jan Glaubitz, Philipp Öffner
Stable discretisations of high-order discontinuous Galerkin methods on equidistant and scattered points. CoRR (2020)
Jan Glaubitz
Constructing Positive Interpolatory Cubature Formulas. CoRR (2020)
Jan Glaubitz
Stable High Order Quadrature Rules for Scattered Data and General Weight Functions. SIAM J. Numer. Anal. 58 (4) (2020)
Jan Glaubitz
Stable High-Order Cubature Formulas for Experimental Data. CoRR (2020)
Jan Glaubitz
Stable High Order Quadrature Rules for Scattered Data and General Weight Functions. CoRR (2020)
Jan Glaubitz
Shock capturing by Bernstein polynomials for scalar conservation laws. Appl. Math. Comput. 363 (2019)
Jan Glaubitz, Alberto Costa Nogueira Jr., João Lucas de Sousa Almeida, R. F. Cantão, C. A. C. Silva
Smooth and Compactly Supported Viscous Sub-cell Shock Capturing for Discontinuous Galerkin Methods. J. Sci. Comput. 79 (1) (2019)
Jan Glaubitz
Shock Capturing by Bernstein Polynomials for Scalar Conservation Laws. CoRR (2019)
Jan Glaubitz, Anne Gelb
Regularization for Enhanced Discontinuous Galerkin Methods. SIAM J. Sci. Comput. 41 (2) (2019)
Jan Glaubitz, Philipp Öffner, Thomas Sonar
Application of modal filtering to a spectral difference method. Math. Comput. 87 (309) (2018)