Arbitrary Shrinkage Rules for Approximation Schemes with Sparsity Constraints. - Martin Ehler; Simone Geisel (Structured Decompositions and Efficient Algorithms, 2008)

Compactly Supported Multivariate, Pairs of Dual Wavelet Frames Obtained by Convolution. - Martin Ehler (Int. J. Wavelets Multiresolution Inf. Process., 2008)

Nonlinear approximation schemes associated with nonseparable wavelet bi-frames. - Martin Ehler (J. Approx. Theory, 2009)

Directional Equilibrium of Gene Regulatory Networks in Developmental Biology. - Martin Ehler; Brian P. Brooks; Robert F. Bonner (BIOCOMP, 2010)

Analysis of Temporal-spatial Co-variation within Gene Expression Microarray Data in an Organogenesis Model. - Martin Ehler; Vinodh N. Rajapakse; Barry Zeeberg; Brian P. Brooks; Jacob D. Brown; Wojciech Czaja; Robert F. Bonner (ISBRA, 2010)

The Construction of Multiwavelet Bi-Frames and Applications to Variational Image Denoising. - Martin Ehler; Karsten Koch (Int. J. Wavelets Multiresolution Inf. Process., 2010)

Extended correction model for retinal optical imaging. - Martin Ehler; Jana M. Kainerstorfer; Denise Cunningham; M. Bono; Brian P. Brooks; Robert F. Bonner (ICCABS, 2011)

Modeling photo-bleaching kinetics to map local variations in rod rhodopsin density. - Martin Ehler; Julia A. Dobrosotskaya; Emily J. King; Wojciech Czaja; Robert F. Bonner (Computer-Aided Diagnosis, 2011)

Modeling of the rhodopsin bleaching with variational analysis of retinal images. - Julia A. Dobrosotskaya; Martin Ehler; Emily J. King; Robert F. Bonner; Wojciech Czaja (Image Processing, 2011)

RedundancyMiner: De-replication of redundant GO categories in microarray and proteomics analysis. - Barry Zeeberg; Hongfang Liu; Ari B. Kahn; Martin Ehler; Vinodh N. Rajapakse; Robert F. Bonner; Jacob D. Brown; Brian P. Brooks; Vladimir L. Larionov; William C. Reinhold; John N. Weinstein; Yves Pommier (BMC Bioinform., 2011)

Schroedinger Eigenmaps for the Analysis of Bio-Medical Data - Wojciech Czaja; Martin Ehler (CoRR, 2011)

Sparse endmember extraction and demixing. - Martin Ehler; Matthew J. Hirn (IGARSS, 2012)

Tight p-fusion frames - Christine Bachoc; Martin Ehler (CoRR, 2012)

Locally Learning Biomedical Data Using Diffusion Frames. - Martin Ehler; Frank Filbir; Hrushikesh Narhar Mhaskar (J. Comput. Biol., 2012)

Schroedinger Eigenmaps for the Analysis of Biomedical Data. - Wojciech Czaja; Martin Ehler (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Algebraic Reconstruction Bounds and Explicit Inversion for Phase Retrieval at the Identifiability Threshold. - Franz J. Király; Martin Ehler (AISTATS, 2014)

The Algebraic Approach to Phase Retrieval and Explicit Inversion at the Identifiability Threshold. - Franz J. Király; Martin Ehler (CoRR, 2014)

Quasi-linear Compressed Sensing. - Martin Ehler; Massimo Fornasier; Juliane Sigl (Multiscale Model. Simul., 2014)

Preconditioning Filter Bank Decomposition Using Structured Normalized Tight Frames. - Martin Ehler (J. Appl. Math., 2015)

Signal Reconstruction From the Magnitude of Subspace Components. - Christine Bachoc; Martin Ehler (IEEE Trans. Inf. Theory, 2015)

Numerically Optimizing Weights for Monte Carlo Integration on Smooth Compact Manifolds. - Martin Ehler; Manuel Gräf (SYNASC, 2017)

Optimal configurations of lines and a statistical application. - François Bachoc; Martin Ehler; Manuel Gräf (Adv. Comput. Math., 2017)

Metric entropy, -widths, and sampling of functions on manifolds. - Martin Ehler; Frank Filbir (J. Approx. Theory, 2018)

Points on manifolds with asymptotically optimal covering radius. - Anna Breger; Martin Ehler; Manuel Gräf (J. Complex., 2018)

An Amplified-Target Loss Approach for Photoreceptor Layer Segmentation in Pathological OCT Scans. - José Ignacio Orlando; Anna Breger; Hrvoje Bogunovic; Sophie Riedl; Bianca S. Gerendas; Martin Ehler; Ursula Schmidt-Erfurth (OMIA@MICCAI, 2019)

On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems. - Anna Breger; José Ignacio Orlando; Pavol Harár; Monika Dörfler; Sophie Klimscha; Christoph Grechenig; Bianca S. Gerendas; Ursula Schmidt-Erfurth; Martin Ehler (CoRR, 2019)

Spectral decomposition of discrepancy kernels on the Euclidean ball, the special orthogonal group, and the Grassmannian manifold. - Josef Dick; Martin Ehler; Manuel Gräf; Christian Krattenthaler (CoRR, 2019)

On the reconstruction accuracy of multi-coil MRI with orthogonal projections. - Anna Breger; Gabriel Ramos-Llordén; Gonzalo Vegas-Sánchez-Ferrero; W. Scott Hoge; Martin Ehler; Carl-Fredrik Westin (CoRR, 2019)

Optimal Monte Carlo integration on closed manifolds. - Martin Ehler; Manuel Gräf; Chris J. Oates (Stat. Comput., 2019)

On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. - Anna Breger; José Ignacio Orlando; Pavol Harár; Monika Dörfler; Sophie Klimscha; Christoph Grechenig; Bianca S. Gerendas; Ursula Schmidt-Erfurth; Martin Ehler (J. Math. Imaging Vis., 2020)

Correction to: On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. - Anna Breger; José Ignacio Orlando; Pavol Harár; Monika Dörfler; Sophie Klimscha; Christoph Grechenig; Bianca S. Gerendas; Ursula Schmidt-Erfurth; Martin Ehler (J. Math. Imaging Vis., 2020)

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

Asymptotically optimal cubature formulas on manifolds for prefixed weights. - Martin Ehler; Ujué Etayo; Bianca Gariboldi; Giacomo Gigante; Thomas Peter (J. Approx. Theory, 2021)

Blood vessel segmentation in en-face OCTA images: a frequency based method. - Anna Breger; Felix Goldbach; Bianca S. Gerendas; Ursula Schmidt-Erfurth; Martin Ehler (Computer-Aided Diagnosis, 2022)

Gauss Quadrature for Freud Weights, Modulation Spaces, and Marcinkiewicz-Zygmund Inequalities. - Martin Ehler; Karlheinz Gröchenig (CoRR, 2022)

Convex Geometry of ReLU-layers, Injectivity on the Ball and Local Reconstruction. - Daniel Haider; Martin Ehler; Péter Balázs (ICML, 2023)

Fitting Auditory Filterbanks with Multiresolution Neural Networks. - Vincent Lostanlen; Daniel Haider; Han Han; Mathieu Lagrange; Péter Balázs; Martin Ehler (WASPAA, 2023)

t-design curves and mobile sampling on the sphere. - Martin Ehler; Karlheinz Gröchenig (CoRR, 2023)

Energy Preservation and Stability of Random Filterbanks. - Daniel Haider; Vincent Lostanlen; Martin Ehler; Péter Balázs (CoRR, 2023)

Invertibility of ReLU-Layers: A Practical Approach. - Hannah Eckert; Daniel Haider; Martin Ehler; Peter Balazs (IJCCI, 2024)

Hold Me Tight: Stable Encoder-Decoder Design for Speech Enhancement. - Daniel Haider; Felix Perfler; Vincent Lostanlen; Martin Ehler; Peter Balazs (INTERSPEECH, 2024)

Quantitative estimates: How well does the discrete Fourier transform approximate the Fourier transform on R. - Martin Ehler; Karlheinz Gröchenig; Andreas Klotz (CoRR, 2024)

Injectivity of ReLU-layers: Perspectives from Frame Theory. - Daniel Haider; Martin Ehler; Péter Balázs (CoRR, 2024)

Instabilities in Convnets for Raw Audio. - Daniel Haider; Vincent Lostanlen; Martin Ehler; Péter Balázs (IEEE Signal Process. Lett., 2024)

visClust: A visual clustering algorithm based on orthogonal projections. - Anna Breger; Clemens Karner; Martin Ehler (Pattern Recognit., 2024)

Residual Hybrid Filterbanks. - Vincent Lostanlen; Xiran Zhang; Daniel Haider; Mathieu Lagrange; Martin Ehler; Peter Balazs (SSP, 2025)

Geodesic cycles on the Sphere: t-designs and Marcinkiewicz-Zygmund Inequalities. - Martin Ehler; Karlheinz Gröchenig; Clemens Karner (CoRR, 2025)

Aliasing in Convnets: A Frame-Theoretic Perspective. - Daniel Haider; Vincent Lostanlen; Martin Ehler; Nicki Holighaus; Peter Balazs (CoRR, 2025)