Parameter Identification by Regularization for Surface Representation via the Moving Grid Approach. - Stefan Kindermann 001; Andreas Neubauer (SIAM J. Control. Optim., 2003)

Deblurring and Denoising of Images by Nonlocal Functionals. - Stefan Kindermann 001; Stanley J. Osher; Peter W. Jones 003 (Multiscale Model. Simul., 2005)

Denoising by BV-duality. - Stefan Kindermann 001; Stanley J. Osher; Jinjun Xu (J. Sci. Comput., 2006)

Solution of a non-linear inverse problem to identify the surface normal velocity of ultrasound transducers. - Stefan J. Rupitsch; Stefan Kindermann 001; Bernhard G. Zagar (Elektrotech. Informationstechnik, 2007)

Swamp reducing technique for tensor decomposition. - Carmeliza Navasca; Lieven De Lathauwer; Stefan Kindermann 001 (EUSIPCO, 2008)

Improving the robustness of data-driven fuzzy systems with regularization. - Edwin Lughofer; Stefan Kindermann 001 (FUZZ-IEEE, 2008)

Parameter Identification in a Random Environment Exemplified by a Multiscale Model for Crystal Growth. - Vincenzo Capasso; Heinz W. Engl; Stefan Kindermann 001 (Multiscale Model. Simul., 2008)

Rule Weight Optimization and Feature Selection in Fuzzy Systems with Sparsity Contraints. - Edwin Lughofer; Stefan Kindermann 001 (IFSA/EUSFLAT Conf., 2009)

Reconstruction of shapes and impedance functions using few far-field measurements. - Lin He; Stefan Kindermann 001; Mourad Sini (J. Comput. Phys., 2009)

SparseFIS: Data-Driven Learning of Fuzzy Systems With Sparsity Constraints. - Edwin Lughofer; Stefan Kindermann 001 (IEEE Trans. Fuzzy Syst., 2010)

On the calibration of local jump-diffusion asset price models. - Stefan Kindermann 001; Philipp A. Mayer (Finance Stochastics, 2011)

A singular value decomposition for the Shack-Hartmann based wavefront reconstruction. - Stefan Kindermann 001; Andreas Neubauer; Ronny Ramlau (J. Comput. Appl. Math., 2012)

News Algorithms for tensor decomposition based on a reduced functional. - Stefan Kindermann 001; Carmeliza Navasca (Numer. Linear Algebra Appl., 2014)

FRAP & FLIP: Two Sides of the Same Coin? - Stepán Papácek; Jiri Jablonsky; Ctirad Matonoha; Radek Kana; Stefan Kindermann 001 (IWBBIO (2), 2015)

Generalized smart evolving fuzzy systems. - Edwin Lughofer; Carlos Cernuda; Stefan Kindermann 001; Mahardhika Pratama (Evol. Syst., 2015)

On Optimization of FRAP Experiments: Model-Based Sensitivity Analysis Approach. - Stepán Papácek; Stefan Kindermann 001 (IWBBIO, 2016)

Projection Methods for Ill-Posed Problems Revisited. - Stefan Kindermann 001 (Comput. Methods Appl. Math., 2016)

Disc vs. Annulus: On the Bleaching Pattern Optimization for FRAP Experiments. - Ctirad Matonoha; Stepán Papácek; Stefan Kindermann 001 (HPCSE, 2017)

Top-Down Sparse Fuzzy Regression Modeling from Data with Improved Coverage. - Edwin Lughofer; Stefan Kindermann 001; Mahardhika Pratama; José de Jesús Rubio (Int. J. Fuzzy Syst., 2017)

Optimization of the shape (and topology) of the initial conditions for diffusion parameter identification. - Stefan Kindermann 001; Stepán Papácek (Comput. Math. Appl., 2019)

A simplified L-curve method as error estimator. - Stefan Kindermann 001; Kemal Raik (CoRR, 2019)

Convergence of Heuristic Parameter Choice Rules for Convex Tikhonov Regularization. - Stefan Kindermann 001; Kemal Raik (SIAM J. Numer. Anal., 2020)

Optimal-order convergence of Nesterov acceleration for linear ill-posed problems. - Stefan Kindermann 001 (CoRR, 2021)

On regularization methods for inverse problems of dynamic type. - Stefan Kindermann 001; A. Leitao (CoRR, 2021)

On regularization methods based on dynamic programming techniques. - Stefan Kindermann 001; A. Leitao (CoRR, 2021)

Regularization by dynamic programming. - Stefan Kindermann 001; A. Leitao (CoRR, 2021)

The Hausdorff Moment Problem in the light of ill-posedness of type I. - Daniel Gerth; Bernd Hofmann 001; Christopher Hofmann; Stefan Kindermann 001 (CoRR, 2021)

Tensor Deblurring and Denoising Using Total Variation. - Fatoumata Sanogo; Carmeliza Navasca; Stefan Kindermann 001 (CoRR, 2021)

A numerical comparison of some heuristic stopping rules for nonlinear Landweber iteration. - Simon Hubmer; Ekaterina Sherina; Stefan Kindermann 001; Kemal Raik (CoRR, 2022)

Multiscale hierarchical decomposition methods for ill-posed problems. - Stefan Kindermann 001; Elena Resmerita; Tobias Wolf (CoRR, 2023)

A rational conjugate gradient method for linear ill-conditioned problems. - Stefan Kindermann 001; Werner Zellinger (CoRR, 2023)

Adaptive Learning of Density Ratios in RKHS. - Werner Zellinger; Stefan Kindermann 001; Sergei V. Pereverzyev (J. Mach. Learn. Res., 2023)

Applications of multiscale hierarchical decomposition to blind deconvolution. - Tobias Wolf; Stefan Kindermann 001; Elena Resmerita; Luminita A. Vese (CoRR, 2024)