Number-theoretic Transforms in Rings of Cyclotomic Integers. - Reiner Creutzburg; Gabriele Steidl (J. Inf. Process. Cybern., 1988)

Grundlagen schneller Algorithmen für verallgemeinerte diskrete Fouriertransformationen. - Gabriele Steidl (1988)

Existence and Construction of Self-complementary Normal Bases. - Gabriele Steidl (J. Inf. Process. Cybern., 1990)

Fast Radix-p Discrete Cosine Transform. - Gabriele Steidl (Appl. Algebra Eng. Commun. Comput., 1992)

Chebyshev polynomial derivation of composite-length DCT algorithms. - Gabriele Steidl (Signal Process., 1992)

On multivariate attenuation factors. - Gabriele Steidl (Numer. Algorithms, 1995)

A note on fast Fourier transforms for nonequispaced grids. - Gabriele Steidl (Adv. Comput. Math., 1998)

Fast algorithms for discrete polynomial transforms. - Daniel Potts; Gabriele Steidl; Manfred Tasche (Math. Comput., 1998)

Preconditioners for non-Hermitian Toeplitz systems. - Raymond H. Chan; Daniel Potts; Gabriele Steidl (Numer. Linear Algebra Appl., 2001)

Preconditioners for Nondefinite Hermitian Toeplitz Systems. - Raymond H. Chan; Daniel Potts; Gabriele Steidl (SIAM J. Matrix Anal. Appl., 2001)

Preconditioners for Ill-Conditioned Toeplitz Systems Constructed from Positive Kernels. - Daniel Potts; Gabriele Steidl (SIAM J. Sci. Comput., 2001)

Relations between Soft Wavelet Shrinkage and Total Variation Denoising. - Gabriele Steidl; Joachim Weickert (DAGM-Symposium, 2002)

Feasible Adaptation Criteria for Hybrid Wavelet - Large Margin Classifiers. - Julia Neumann; Christoph Schnörr; Gabriele Steidl (CAIP, 2003)

Equivalence Results for TV Diffusion and TV Regularisation. - Thomas Brox; Martin Welk; Gabriele Steidl; Joachim Weickert (Scale-Space, 2003)

Correspondences between Wavelet Shrinkage and Nonlinear Diffusion. - Pavel Mrázek; Joachim Weickert; Gabriele Steidl (Scale-Space, 2003)

Fast Summation at Nonequispaced Knots by NFFT. - Daniel Potts; Gabriele Steidl (SIAM J. Sci. Comput., 2003)

Feature extraction by shape-adapted local discriminant bases. - Daniel J. Strauss; Gabriele Steidl; Wolfgang Delb (Signal Process., 2003)

SVM-Based Feature Selection by Direct Objective Minimisation. - Julia Neumann; Christoph Schnörr; Gabriele Steidl (DAGM-Symposium, 2004)

Coorbit Spaces and Banach Frames on Homogeneous Spaces with Applications to the Sphere. - Stephan Dahlke; Gabriele Steidl; Gerd Teschke (Adv. Comput. Math., 2004)

Fast convolution with radial kernels at nonequispaced knots. - Daniel Potts; Gabriele Steidl; Arthur Nieslony (Numerische Mathematik, 2004)

On the Equivalence of Soft Wavelet Shrinkage, Total Variation Diffusion, Total Variation Regularization, and SIDEs. - Gabriele Steidl; Joachim Weickert; Thomas Brox; Pavel Mrázek; Martin Welk (SIAM J. Numer. Anal., 2004)

Nonlinear image restoration methods for marker extraction in 3D fluorescent microscopy. - Aleh Kryvanos; Jürgen Hesser; Gabriele Steidl (Computational Imaging, 2005)

Relations Between Higher Order TV Regularization and Support Vector Regression. - Gabriele Steidl; Stephan Didas; Julia Neumann (Scale-Space, 2005)

A Four-Pixel Scheme for Singular Differential Equations. - Martin Welk; Joachim Weickert; Gabriele Steidl (Scale-Space, 2005)

A Study of Non-smooth Convex Flow Decomposition. - Jing Yuan 005; Christoph Schnörr; Gabriele Steidl; Florian Becker (VLSM, 2005)

Diffusion-Inspired Shrinkage Functions and Stability Results for Wavelet Denoising. - Pavel Mrázek; Joachim Weickert; Gabriele Steidl (Int. J. Comput. Vis., 2005)

Dual-Tree Complex Wavelet Transform in the Frequency Domain and an Application to Signal Classification. - Julia Neumann; Gabriele Steidl (Int. J. Wavelets Multiresolution Inf. Process., 2005)

Combined SVM-Based Feature Selection and Classification. - Julia Neumann; Christoph Schnörr; Gabriele Steidl (Mach. Learn., 2005)

Efficient wavelet adaptation for hybrid wavelet-large margin classifiers. - Julia Neumann; Christoph Schnörr; Gabriele Steidl (Pattern Recognit., 2005)

Diffusion Filters and Wavelets: What Can They Learn from Each Other? - Joachim Weickert; Gabriele Steidl; Pavel Mrázek; Martin Welk; Thomas Brox (Handbook of Mathematical Models in Computer Vision, 2006)

From Tensor-Driven Diffusion to Anisotropic Wavelet Shrinkage. - Martin Welk; Joachim Weickert; Gabriele Steidl (ECCV (1), 2006)

A Note on the Dual Treatment of Higher-Order Regularization Functionals. - Gabriele Steidl (Computing, 2006)

Splines in Higher Order TV Regularization. - Gabriele Steidl; Stephan Didas; Julia Neumann (Int. J. Comput. Vis., 2006)

A Multiscale Wavelet-Inspired Scheme for Nonlinear Diffusion. - Gerlind Plonka; Gabriele Steidl (Int. J. Wavelets Multiresolution Inf. Process., 2006)

Fast Gauss transforms with complex parameters using NFFTs. - Stefan Kunis; Daniel Potts; Gabriele Steidl (J. Num. Math., 2006)

Restoration of matrix fields by second-order cone programming. - Gabriele Steidl; Simon Setzer; B. Popilka; Bernhard Burgeth (Computing, 2007)

Simultaneous Higher-Order Optical Flow Estimation and Decomposition. - Jing Yuan 005; Christoph Schnörr; Gabriele Steidl (SIAM J. Sci. Comput., 2007)

Convex Hodge Decomposition of Image Flows. - Jing Yuan 005; Gabriele Steidl; Christoph Schnörr (DAGM-Symposium, 2008)

The Continuous Shearlet Transform in Arbitrary Space Dimensions. - Stephan Dahlke; Gabriele Steidl; Gerd Teschke (Structured Decompositions and Efficient Algorithms, 2008)

Restoration of images with rotated shapes. - Simon Setzer; Gabriele Steidl; Tanja Teuber (Numer. Algorithms, 2008)

Inpainting by Flexible Haar-Wavelet Shrinkage. - Raymond H. Chan; Simon Setzer; Gabriele Steidl (SIAM J. Imaging Sci., 2008)

Anisotropic Smoothing Using Double Orientations. - Gabriele Steidl; Tanja Teuber (SSVM, 2009)

Total-Variation Based Piecewise Affine Regularization. - Jing Yuan 005; Christoph Schnörr; Gabriele Steidl (SSVM, 2009)

Combined l2 data and gradient fitting in conjunction with l1 regularization. - Stephan Didas; Simon Setzer; Gabriele Steidl (Adv. Comput. Math., 2009)

Convex Hodge Decomposition and Regularization of Image Flows. - Jing Yuan 005; Christoph Schnörr; Gabriele Steidl (J. Math. Imaging Vis., 2009)

Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors. - Guido Moerkotte; Thomas Neumann 001; Gabriele Steidl (Proc. VLDB Endow., 2009)

Diffusion Tensors for Processing Sheared and Rotated Rectangles. - Gabriele Steidl; Tanja Teuber (IEEE Trans. Image Process., 2009)

Approximation related to quotient functionals. - Simon Setzer; Gabriele Steidl; Tanja Teuber; Guido Moerkotte (J. Approx. Theory, 2010)

Removing Multiplicative Noise by Douglas-Rachford Splitting Methods. - Gabriele Steidl; Tanja Teuber (J. Math. Imaging Vis., 2010)

Deblurring Poissonian images by split Bregman techniques. - Simon Setzer; Gabriele Steidl; Tanja Teuber (J. Vis. Commun. Image Represent., 2010)

Quadrature Nodes Meet Stippling Dots. - Manuel Gräf; Daniel Potts; Gabriele Steidl (SSVM, 2011)

Dithering by Differences of Convex Functions. - Tanja Teuber; Gabriele Steidl; Pascal Gwosdek; Christian Schmaltz; Joachim Weickert (SIAM J. Imaging Sci., 2011)

Nonlocal two dimensional denoising of frequency specific chirp evoked ABR single trials. - J. Kristof Schubert; Tanja Teuber; Gabriele Steidl; Daniel J. Strauss; Farah I. Corona-Strauss (EMBC, 2012)

On vector and matrix median computation. - Simon Setzer; Gabriele Steidl; Tanja Teuber (J. Comput. Appl. Math., 2012)

Segmentation of images with separating layers by fuzzy c-means and convex optimization. - Behrang Shafei; Gabriele Steidl (J. Vis. Commun. Image Represent., 2012)

A new fuzzy c-means method with total variation regularization for segmentation of images with noisy and incomplete data. - Yanyan He; M. Yousuff Hussaini; Jianwei Ma; Behrang Shafei; Gabriele Steidl (Pattern Recognit., 2012)

Quadrature Errors, Discrepancies, and Their Relations to Halftoning on the Torus and the Sphere. - Manuel Gräf; Daniel Potts; Gabriele Steidl (SIAM J. Sci. Comput., 2012)

Denoising by second order statistics. - Tanja Teuber; Steffen Remmele; Jürgen Hesser; Gabriele Steidl (Signal Process., 2012)

Multiclass Segmentation by Iterated ROF Thresholding. - Xiaohao Cai; Gabriele Steidl (EMMCVPR, 2013)

Epigraphical Projection for Solving Least Squares Anscombe Transformed Constrained Optimization Problems. - Stanislav Harizanov; Jean-Christophe Pesquet; Gabriele Steidl (SSVM, 2013)

A cyclic projected gradient method. - Simon Setzer; Gabriele Steidl; Jan Morgenthaler (Comput. Optim. Appl., 2013)

Convex multiclass segmentation with shearlet regularization. - Sören Häuser; Gabriele Steidl (Int. J. Comput. Math., 2013)

Guest Editorial: Variational Models, Convex Analysis and Numerical Optimization in Mathematical Imaging. - Antonin Chambolle; Michael Hintermüller; Thomas Pock; Christoph Schnörr; Gabriele Steidl (J. Math. Imaging Vis., 2013)

Homogeneous Penalizers and Constraints in Convex Image Restoration. - René Ciak; Behrang Shafei; Gabriele Steidl (J. Math. Imaging Vis., 2013)

Detection of change points in phase data: A Bayesian analysis of habituation processes. - Zeinab Mortezapouraghdam; Lars Haab; Gabriele Steidl; Daniel J. Strauss (EMBC, 2014)

First order algorithms in variational image processing. - Martin Burger 001; Alex Sawatzky; Gabriele Steidl (CoRR, 2014)

Linearized Riesz transform and quasi-monogenic shearlets. - Sören Häuser; Bettina Heise; Gabriele Steidl (Int. J. Wavelets Multiresolution Inf. Process., 2014)

Fully Smoothed ℓ 1-TV Models: Bounds for the Minimizers and Parameter Choice. - F. Baus; Mila Nikolova; Gabriele Steidl (J. Math. Imaging Vis., 2014)

Supervised and transductive multi-class segmentation using p-Laplacians and RKHS methods. - Sung Ha Kang; Behrang Shafei; Gabriele Steidl (J. Vis. Commun. Image Represent., 2014)

Second Order Differences of Cyclic Data and Applications in Variational Denoising. - Ronny Bergmann; Friederike Laus; Gabriele Steidl; Andreas Weinmann (SIAM J. Imaging Sci., 2014)

Fast Hue and Range Preserving Histogram Specification: Theory and New Algorithms for Color Image Enhancement. - Mila Nikolova; Gabriele Steidl (IEEE Trans. Image Process., 2014)

Fast Ordering Algorithm for Exact Histogram Specification. - Mila Nikolova; Gabriele Steidl (IEEE Trans. Image Process., 2014)

Shearlet Coorbit Theory. - Stephan Dahlke; Sören Häuser; Gabriele Steidl; Gerd Teschke (Harmonic and Applied Analysis, 2015)

Computation and Visualization of Local Deformation for Multiphase Metallic Materials by Infimal Convolution of TV-Type Functionals. - Frank Balle; Dietmar Eifler; Jan Henrik Fitschen; Sebastian Schuff; Gabriele Steidl (SSVM, 2015)

Bilevel Image Denoising Using Gaussianity Tests. - Jérôme Fehrenbach; Mila Nikolova; Gabriele Steidl; Pierre Weiss (SSVM, 2015)

A Variational Model for Color Assignment. - Jan Henrik Fitschen; Mila Nikolova; Fabien Pierre; Gabriele Steidl (SSVM, 2015)

Proximal operator of quotient functions with application to a feasibility problem in query optimization. - Guido Moerkotte; Martin J. Montag; Audrey Repetti; Gabriele Steidl (J. Comput. Appl. Math., 2015)

Guest Editorial: Mathematics and Image Analysis. - Jalal Fadili; Gitta Kutyniok; Gabriel Peyré; Gerlind Plonka-Hoch; Gabriele Steidl (J. Math. Imaging Vis., 2015)

Supervised Learning by Support Vector Machines. - Gabriele Steidl (Handbook of Mathematical Methods in Imaging, 2015)

Hue-preserving perceptual contrast enhancement. - Fabien Pierre; Jean-François Aujol; Aurélie Bugeau; Gabriele Steidl; Vinh-Thong Ta 002 (ICIP, 2016)

A Nonlocal Denoising Algorithm for Manifold-Valued Images Using Second Order Statistics. - Friederike Laus; Johannes Persch; Gabriele Steidl (CoRR, 2016)

Transport Between RGB Images Motivated by Dynamic Optimal Transport. - Jan Henrik Fitschen; Friederike Laus; Gabriele Steidl (J. Math. Imaging Vis., 2016)

A Parallel Douglas-Rachford Algorithm for Minimizing ROF-like Functionals on Images with Values in Symmetric Hadamard Manifolds. - Ronny Bergmann; Johannes Persch; Gabriele Steidl (SIAM J. Imaging Sci., 2016)

A Second Order Nonsmooth Variational Model for Restoring Manifold-Valued Images. - Miroslav Bacák; Ronny Bergmann; Gabriele Steidl; Andreas Weinmann (SIAM J. Sci. Comput., 2016)

Infimal Convolution Coupling of First and Second Order Differences on Manifold-Valued Images. - Ronny Bergmann; Jan Henrik Fitschen; Johannes Persch; Gabriele Steidl (SSVM, 2017)

On a Projected Weiszfeld Algorithm. - Sebastian Neumayer; Max Nimmer; Gabriele Steidl; Henrike Stephani (SSVM, 2017)

Examplar-Based Face Colorization Using Image Morphing. - Johannes Persch; Fabien Pierre; Gabriele Steidl (CoRR, 2017)

Variational-based segmentation of bio-pores in tomographic images. - Benjamin Bauer; Xiaohao Cai; Stephan Peth; Katja Schladitz; Gabriele Steidl (Comput. Geosci., 2017)

Iterative Multiplicative Filters for Data Labeling. - Ronny Bergmann; Jan Henrik Fitschen; Johannes Persch; Gabriele Steidl (Int. J. Comput. Vis., 2017)

Convergence of functions and their Moreau envelopes on Hadamard spaces. - Miroslav Bacák; Martin J. Montag; Gabriele Steidl (J. Approx. Theory, 2017)

Exemplar-Based Face Colorization Using Image Morphing. - Johannes Persch; Fabien Pierre; Gabriele Steidl (J. Imaging, 2017)

JMIV Special Issue Mathematics and Image Analysis. - Jalal Fadili; Gitta Kutyniok; Gabriel Peyré; Gerlind Plonka-Hoch; Gabriele Steidl (J. Math. Imaging Vis., 2017)

Variational Contrast Enhancement of Gray-Scale and RGB Images. - Fabien Pierre; Jean-François Aujol; Aurélie Bugeau; Gabriele Steidl; Vinh-Thong Ta 002 (J. Math. Imaging Vis., 2017)

Unsupervised multi class segmentation of 3D images with intensity inhomogeneities. - Jan Henrik Fitschen; Katharina Losch; Gabriele Steidl (J. Vis. Commun. Image Represent., 2017)

A Nonlocal Denoising Algorithm for Manifold-Valued Images Using Second Order Statistics. - Friederike Laus; Mila Nikolova; Johannes Persch; Gabriele Steidl (SIAM J. Imaging Sci., 2017)

Linkage between Piecewise Constant Mumford-Shah model and ROF model and its virtue in image segmentation. - Xiaohao Cai; Raymond H. Chan; Carola-Bibiane Schönlieb; Gabriele Steidl; Tieyong Zeng (CoRR, 2018)

Priors with Coupled First and Second Order Differences for Manifold-Valued Image Processing. - Ronny Bergmann; Jan Henrik Fitschen; Johannes Persch; Gabriele Steidl (J. Math. Imaging Vis., 2018)

Nonlocal Myriad Filters for Cauchy Noise Removal. - Friederike Laus; Fabien Pierre; Gabriele Steidl (J. Math. Imaging Vis., 2018)

Morphing of Manifold-Valued Images Inspired by Discrete Geodesics in Image Spaces. - Sebastian Neumayer; Johannes Persch; Gabriele Steidl (SIAM J. Imaging Sci., 2018)

A Connection Between Image Processing and Artificial Neural Networks Layers Through a Geometric Model of Visual Perception. - Thomas Batard; Eduard Ramon Maldonado; Gabriele Steidl; Marcelo Bertalmío (SSVM, 2019)

Minimal Lipschitz Extensions for Vector-Valued Functions on Finite Graphs. - Johannes Hertrich; Miroslav Bacák; Sebastian Neumayer; Gabriele Steidl (SSVM, 2019)

Traces of shearlet coorbit spaces on domains. - Stephan Dahlke; Q. Jahan; Cornelia Schneider; Gabriele Steidl; Gerd Teschke (Appl. Math. Lett., 2019)

Alternatives of the EM Algorithm for Estimating the Parameters of the Student-t Distribution. - Marzieh Hasannasab; Johannes Hertrich; Friederike Laus; Gabriele Steidl (CoRR, 2019)

Parseval Proximal Neural Networks. - Marzieh Hasannasab; Johannes Hertrich; Sebastian Neumayer; Gerlind Plonka; Simon Setzer; Gabriele Steidl (CoRR, 2019)

Guest Editorial JMIV Special Issue Mathematics and Image Analysis (MIA). - Jean-François Aujol; Jalal Fadili; Michael Hintermüller; Gabriel Peyré; Gerlind Plonka-Hoch; Gabriele Steidl (J. Math. Imaging Vis., 2019)

Multivariate Myriad Filters Based on Parameter Estimation of Student-t Distributions. - Friederike Laus; Gabriele Steidl (SIAM J. Imaging Sci., 2019)

Linkage Between Piecewise Constant Mumford-Shah Model and Rudin-Osher-Fatemi Model and Its Virtue in Image Segmentation. - Xiaohao Cai; Raymond H. Chan; Carola-Bibiane Schönlieb; Gabriele Steidl; Tieyong Zeng (SIAM J. Sci. Comput., 2019)

Fast Entropy Maximization for Selectivity Estimation of Conjunctive Predicates on CPUs and GPUs. - Diego Havenstein; Peter Lysakovski; Norman May; Guido Moerkotte; Gabriele Steidl (EDBT, 2020)

A New Constrained Optimization Model for Solving the Nonsymmetric Stochastic Inverse Eigenvalue Problem. - Gabriele Steidl; Maximilian Winkler (CoRR, 2020)

Inertial Stochastic PALM and its Application for Learning Student-t Mixture Models. - Johannes Hertrich; Gabriele Steidl (CoRR, 2020)

Transfer Operators from Optimal Transport Plans for Coherent Set Detection. - Péter Koltai; Johannes von Lindheim; Sebastian Neumayer; Gabriele Steidl (CoRR, 2020)

PCA Reduced Gaussian Mixture Models with Applications in Superresolution. - Johannes Hertrich; Dang Phoung Lan Nguyen; Jean-François Aujol; Dominique Bernard; Yannick Berthoumieu; Abdellativ Sa'adaldin; Gabriele Steidl (CoRR, 2020)

Convolutional Proximal Neural Networks and Plug-and-Play Algorithms. - Johannes Hertrich; Sebastian Neumayer; Gabriele Steidl (CoRR, 2020)

Variational Models for Color Image Correction Inspired by Visual Perception and Neuroscience. - Thomas Batard; Johannes Hertrich; Gabriele Steidl (J. Math. Imaging Vis., 2020)

Guest Editorial: Special Issue in Memory of Mila Nikolova. - Raymond H. Chan; Albert Cohen 002; Jalal Fadili; Alfred O. Hero III; Gabriele Steidl (J. Math. Imaging Vis., 2020)

Invertible Neural Networks Versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence. - Anna Andrle; Nando Farchmin; Paul Hagemann; Sebastian Heidenreich; Victor Soltwisch; Gabriele Steidl (SSVM, 2021)

Super-Resolution for Doubly-Dispersive Channel Estimation. - Robert Beinert; Peter Jung 001; Gabriele Steidl; Tom Szollmann (CoRR, 2021)

Fourier reconstruction for diffraction tomography of an object rotated into arbitrary orientations. - Clemens Kirisits; Michael Quellmalz; Monika Ritsch-Marte; Otmar Scherzer; Eric Setterqvist; Gabriele Steidl (CoRR, 2021)

A Unified Approach to Variational Autoencoders and Stochastic Normalizing Flows via Markov Chains. - Johannes Hertrich; Paul Hagemann; Gabriele Steidl (CoRR, 2021)

Curve Based Approximation of Measures on Manifolds by Discrepancy Minimization. - Martin Ehler; Manuel Gräf; Sebastian Neumayer; Gabriele Steidl (Found. Comput. Math., 2021)

Robust PCA via Regularized Reaper with a Matrix-Free Proximal Algorithm. - Robert Beinert; Gabriele Steidl (J. Math. Imaging Vis., 2021)

Alternatives to the EM algorithm for ML estimation of location, scatter matrix, and degree of freedom of the Student t distribution. - Marzieh Hasannasab; Johannes Hertrich; Friederike Laus; Gabriele Steidl (Numer. Algorithms, 2021)

Correction to: Alternatives to the EM algorithm for ML estimation of location, scatter matrix, and degree of freedom of the Student t distribution. - Marzieh Hasannasab; Johannes Hertrich; Friederike Laus; Gabriele Steidl (Numer. Algorithms, 2021)

Lagrangian Motion Magnification with Landmark-Prior and Sparse PCA for Facial Microexpressions and Micromovements. - Philipp Flotho; Cosmas Heiß; Gabriele Steidl; Daniel J. Strauss (EMBC, 2022)

Multi-Marginal Gromov-Wasserstein Transport and Barycenters. - Florian Beier; Robert Beinert; Gabriele Steidl (CoRR, 2022)

PatchNR: Learning from Small Data by Patch Normalizing Flow Regularization. - Fabian Altekrüger; Alexander Denker; Paul Hagemann; Johannes Hertrich; Peter Maass; Gabriele Steidl (CoRR, 2022)

Wasserstein Steepest Descent Flows of Discrepancies with Riesz Kernels. - Johannes Hertrich; Manuel Gräf; Robert Beinert; Gabriele Steidl (CoRR, 2022)

An Image Registration Model in Electron Backscatter Diffraction. - Manuel Gräf; Sebastian Neumayer; Ralf Hielscher; Gabriele Steidl; Moritz Liesegang; Tilmann Beck (SIAM J. Imaging Sci., 2022)

On a Linear Gromov-Wasserstein Distance. - Florian Beier; Robert Beinert; Gabriele Steidl (IEEE Trans. Image Process., 2022)

Stochastic Normalizing Flows for Inverse Problems: A Markov Chains Viewpoint. - Paul Hagemann; Johannes Hertrich; Gabriele Steidl (SIAM/ASA J. Uncertain. Quantification, 2022)

Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels. - Fabian Altekrüger; Johannes Hertrich; Gabriele Steidl (ICML, 2023)

Wasserstein Gradient Flows of the Discrepancy with Distance Kernel on the Line. - Johannes Hertrich; Robert Beinert; Manuel Gräf; Gabriele Steidl (SSVM, 2023)

On the Remarkable Efficiency of SMART. - Max Kahl; Stefania Petra; Christoph Schnörr; Gabriele Steidl; Matthias Zisler (SSVM, 2023)

Neural Wasserstein Gradient Flows for Maximum Mean Discrepancies with Riesz Kernels. - Fabian Altekrüger; Johannes Hertrich; Gabriele Steidl (CoRR, 2023)

Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation. - Paul Hagemann; Lars Ruthotto; Gabriele Steidl; Nicole Tianjiao Yang (CoRR, 2023)

Sliced Optimal Transport on the Sphere. - Michael Quellmalz; Robert Beinert; Gabriele Steidl (CoRR, 2023)

Generalized Iterative Scaling for Regularized Optimal Transport with Affine Constraints: Application Examples. - Johannes von Lindheim; Gabriele Steidl (CoRR, 2023)

Denoising of Sphere- and SO(3)-Valued Data by Relaxed Tikhonov Regularization. - Robert Beinert; Jonas Bresch; Gabriele Steidl (CoRR, 2023)

A Study of Particle Motion in the Presence of Clusters. - Christian Wald; Gabriele Steidl (CoRR, 2023)

Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction. - Moritz Piening; Fabian Altekrüger; Johannes Hertrich; Paul Hagemann; Andrea Walther; Gabriele Steidl (CoRR, 2023)

Lagrangian motion magnification with double sparse optical flow decomposition. - Philipp Flotho; Cosmas Heiss; Gabriele Steidl; Daniel J. Strauss (Frontiers Appl. Math. Stat., 2023)

Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems. - Fabian Altekrüger; Paul Hagemann; Gabriele Steidl (Trans. Mach. Learn. Res., 2023)

Unbalanced Multi-marginal Optimal Transport. - Florian Beier; Johannes von Lindheim; Sebastian Neumayer; Gabriele Steidl (J. Math. Imaging Vis., 2023)

Motion detection in diffraction tomography by common circle methods. - Michael Quellmalz; Peter Elbau; Otmar Scherzer; Gabriele Steidl (Math. Comput., 2023)

On Assignment Problems Related to Gromov-Wasserstein Distances on the Real Line. - Robert Beinert; Cosmas Heiss; Gabriele Steidl (SIAM J. Imaging Sci., 2023)

Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel. - Paul Hagemann; Johannes Hertrich; Fabian Altekrüger; Robert Beinert; Jannis Chemseddine; Gabriele Steidl (ICLR, 2024)

Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs. - Martin Hanik; Gabriele Steidl; Christoph von Tycowicz (CoRR, 2024)

Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces. - Sebastian Neumayer; Viktor Stein; Gabriele Steidl; Nicolaj Rux (CoRR, 2024)

Transfer Operators from Batches of Unpaired Points via Entropic Transport Kernels. - Florian Beier; Hancheng Bi; Clément Sarrazin; Bernhard Schmitzer; Gabriele Steidl (CoRR, 2024)

Sparse additive function decompositions facing basis transforms. - Fatima Antarou Ba; Oleh Melnyk; Christian Wald; Gabriele Steidl (CoRR, 2024)

Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching. - Jannis Chemseddine; Paul Hagemann; Christian Wald; Gabriele Steidl (CoRR, 2024)

Time-Harmonic Optical Flow with Applications in Elastography. - Oleh Melnyk; Michael Quellmalz; Gabriele Steidl; Noah Jaitner; Jakob Jordan; Ingolf Sack (CoRR, 2024)

Slicing of Radial Functions: a Dimension Walk in the Fourier Space. - Nicolaj Rux; Michael Quellmalz; Gabriele Steidl (CoRR, 2024)

Optimizing Federated Learning by Entropy-Based Client Selection. - Andreas Lutz; Gabriele Steidl; Karsten Müller 001; Wojciech Samek (CoRR, 2024)

Mixed noise and posterior estimation with conditional deepGEM. - Paul Hagemann; Johannes Hertrich; Maren Casfor; Sebastian Heidenreich; Gabriele Steidl (Mach. Learn. Sci. Technol., 2024)

On the dynamical system of principal curves in. - Robert Beinert; Arian Bërdëllima; Manuel Gräf; Gabriele Steidl (Commun. Stat. Simul. Comput., 2024)

Parallelly Sliced Optimal Transport on Spheres and on the Rotation Group. - Michael Quellmalz; Léo Buecher; Gabriele Steidl (J. Math. Imaging Vis., 2024)

T-FAKE: Synthesizing Thermal Images for Facial Landmarking. - Philipp Flotho; Moritz Piening; Anna Kukleva; Gabriele Steidl (CVPR, 2025)

Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry. - Jannis Chemseddine; Christian Wald; Richard Duong; Gabriele Steidl (ICLR, 2025)

PnP-Flow: Plug-and-Play Image Restoration with Flow Matching. - Ségolène Tiffany Martin; Anne Gagneux; Paul Hagemann; Gabriele Steidl (ICLR, 2025)

Conditional Generative Models for Contrast-Enhanced Synthesis of T1W and T1 Maps in Brain MRI. - Moritz Piening; Fabian Altekrüger; Gabriele Steidl; Elke Hattingen; Eike Steidl (ISBI, 2025)

Sampling from Boltzmann Densities with Physics Informed Low-Rank Formats. - Paul Hagemann; Janina Schütte; David Sommer; Martin Eigel; Gabriele Steidl (SSVM (1), 2025)

Variable Bregman Majorization-Minimization Algorithm and its Application to Dirichlet Maximum Likelihood Estimation. - Ségolène Martin; Jean-Christophe Pesquet; Gabriele Steidl; Ismail Ben Ayed (CoRR, 2025)

Flow Matching: Markov Kernels, Stochastic Processes and Transport Plans. - Christian Wald; Gabriele Steidl (CoRR, 2025)

Joint Metric Space Embedding by Unbalanced OT with Gromov-Wasserstein Marginal Penalization. - Florian Beier; Moritz Piening; Robert Beinert; Gabriele Steidl (CoRR, 2025)

Smoothed Distance Kernels for MMDs and Applications in Wasserstein Gradient Flows. - Nicolaj Rux; Michael Quellmalz; Gabriele Steidl (CoRR, 2025)

Trajectory Generator Matching for Time Series. - T. Jahn; Jannis Chemseddine; Paul Hagemann; Christian Wald; Gabriele Steidl (CoRR, 2025)

Unsupervised Ground Metric Learning. - Janis Auffenberg; Jonas Bresch; Oleh Melnyk; Gabriele Steidl (CoRR, 2025)