Martin Ehler

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 28

Top Topics

Top Venues

J. Approx. Theory

J. Math. Imaging Vis.

IEEE Signal Process. Lett.

Publications

Daniel Haider, Martin Ehler, Péter Balázs
Injectivity of ReLU-layers: Perspectives from Frame Theory. CoRR (2024)
Martin Ehler, Karlheinz Gröchenig, Andreas Klotz
Quantitative estimates: How well does the discrete Fourier transform approximate the Fourier transform on R. CoRR (2024)
Anna Breger, Clemens Karner, Martin Ehler
visClust: A visual clustering algorithm based on orthogonal projections. Pattern Recognit. 148 (2024)
Daniel Haider, Vincent Lostanlen, Martin Ehler, Péter Balázs
Instabilities in Convnets for Raw Audio. IEEE Signal Process. Lett. 31 (2024)
Vincent Lostanlen, Daniel Haider, Han Han, Mathieu Lagrange, Péter Balázs, Martin Ehler
Fitting Auditory Filterbanks with Multiresolution Neural Networks. WASPAA (2023)
Daniel Haider, Martin Ehler, Péter Balázs
Convex Geometry of ReLU-layers, Injectivity on the Ball and Local Reconstruction. CoRR (2023)
Daniel Haider, Vincent Lostanlen, Martin Ehler, Péter Balézs
Energy Preservation and Stability of Random Filterbanks. CoRR (2023)
Daniel Haider, Martin Ehler, Péter Balázs
Convex Geometry of ReLU-layers, Injectivity on the Ball and Local Reconstruction. ICML (2023)
Martin Ehler, Karlheinz Gröchenig
t-design curves and mobile sampling on the sphere. CoRR (2023)
Vincent Lostanlen, Daniel Haider, Han Han, Mathieu Lagrange, Péter Balázs, Martin Ehler
Fitting Auditory Filterbanks with Multiresolution Neural Networks. CoRR (2023)
Anna Breger, Clemens Karner, Martin Ehler
visClust: A visual clustering algorithm based on orthogonal projections. CoRR (2022)
Martin Ehler, Karlheinz Gröchenig
Gauss Quadrature for Freud Weights, Modulation Spaces, and Marcinkiewicz-Zygmund Inequalities. CoRR (2022)
Anna Breger, Felix Goldbach, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
Blood vessel segmentation in en-face OCTA images: a frequency based method. Medical Imaging: Computer-Aided Diagnosis (2022)
Anna Breger, Felix Goldbach, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
Blood vessel segmentation in en-face OCTA images: a frequency based method. CoRR (2021)
Martin Ehler, Ujué Etayo, Bianca Gariboldi, Giacomo Gigante, Thomas Peter
Asymptotically optimal cubature formulas on manifolds for prefixed weights. J. Approx. Theory 271 (2021)
Martin Ehler, Manuel Gräf, Sebastian Neumayer, Gabriele Steidl
Curve Based Approximation of Measures on Manifolds by Discrepancy Minimization. Found. Comput. Math. 21 (6) (2021)
Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
Correction to: On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. J. Math. Imaging Vis. 62 (3) (2020)
Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. J. Math. Imaging Vis. 62 (3) (2020)
Martin Ehler, Manuel Gräf, Chris J. Oates
Optimal Monte Carlo integration on closed manifolds. Stat. Comput. 29 (6) (2019)
Josef Dick, Martin Ehler, Manuel Gräf, Christian Krattenthaler
Spectral decomposition of discrepancy kernels on the Euclidean ball, the special orthogonal group, and the Grassmannian manifold. CoRR (2019)
Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems. CoRR (2019)
José Ignacio Orlando, Anna Breger, Hrvoje Bogunovic, Sophie Riedl, Bianca S. Gerendas, Martin Ehler, Ursula Schmidt-Erfurth
An amplified-target loss approach for photoreceptor layer segmentation in pathological OCT scans. CoRR (2019)
José Ignacio Orlando, Anna Breger, Hrvoje Bogunovic, Sophie Riedl, Bianca S. Gerendas, Martin Ehler, Ursula Schmidt-Erfurth
An Amplified-Target Loss Approach for Photoreceptor Layer Segmentation in Pathological OCT Scans. OMIA@MICCAI (2019)
Anna Breger, Gabriel Ramos-Llordén, Gonzalo Vegas-Sánchez-Ferrero, W. Scott Hoge, Martin Ehler, Carl-Fredrik Westin
On the reconstruction accuracy of multi-coil MRI with orthogonal projections. CoRR (2019)
Martin Ehler, Frank Filbir
Metric entropy, -widths, and sampling of functions on manifolds. J. Approx. Theory 225 (2018)
Anna Breger, Martin Ehler, Manuel Gräf
Points on manifolds with asymptotically optimal covering radius. J. Complex. 48 (2018)
Martin Ehler, Manuel Gräf
Numerically Optimizing Weights for Monte Carlo Integration on Smooth Compact Manifolds. SYNASC (2017)
François Bachoc, Martin Ehler, Manuel Gräf
Optimal configurations of lines and a statistical application. Adv. Comput. Math. 43 (1) (2017)
Christine Bachoc, Martin Ehler
Signal Reconstruction From the Magnitude of Subspace Components. IEEE Trans. Inf. Theory 61 (7) (2015)
Martin Ehler
Preconditioning Filter Bank Decomposition Using Structured Normalized Tight Frames. J. Appl. Math. 2015 (2015)
Martin Ehler, Massimo Fornasier, Juliane Sigl
Quasi-linear Compressed Sensing. Multiscale Model. Simul. 12 (2) (2014)
Franz J. Király, Martin Ehler
Algebraic Reconstruction Bounds and Explicit Inversion for Phase Retrieval at the Identifiability Threshold. AISTATS (2014)
Franz J. Király, Martin Ehler
The Algebraic Approach to Phase Retrieval and Explicit Inversion at the Identifiability Threshold. CoRR (2014)
Martin Ehler, Massimo Fornasier, Juliane Sigl
Quasi-Linear Compressed Sensing. CoRR (2013)
Wojciech Czaja, Martin Ehler
Schroedinger Eigenmaps for the Analysis of Biomedical Data. IEEE Trans. Pattern Anal. Mach. Intell. 35 (5) (2013)
Martin Ehler, Matthew J. Hirn
Sparse endmember extraction and demixing. IGARSS (2012)
Christine Bachoc, Martin Ehler
Tight p-fusion frames CoRR (2012)
Martin Ehler, Frank Filbir, Hrushikesh Narhar Mhaskar
Locally Learning Biomedical Data Using Diffusion Frames. J. Comput. Biol. 19 (11) (2012)
Wojciech Czaja, Martin Ehler
Schroedinger Eigenmaps for the Analysis of Bio-Medical Data CoRR (2011)
Martin Ehler, Jana M. Kainerstorfer, Denise Cunningham, M. Bono, Brian P. Brooks, Robert F. Bonner
Extended correction model for retinal optical imaging. ICCABS (2011)
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
RedundancyMiner: De-replication of redundant GO categories in microarray and proteomics analysis. BMC Bioinform. 12 (2011)
Martin Ehler, Julia A. Dobrosotskaya, Emily J. King, Wojciech Czaja, Robert F. Bonner
Modeling photo-bleaching kinetics to map local variations in rod rhodopsin density. Medical Imaging: Computer-Aided Diagnosis (2011)
Julia A. Dobrosotskaya, Martin Ehler, Emily J. King, Robert F. Bonner, Wojciech Czaja
Modeling of the rhodopsin bleaching with variational analysis of retinal images. Medical Imaging: Image Processing (2011)
Martin Ehler, Vinodh N. Rajapakse, Barry Zeeberg, Brian P. Brooks, Jacob D. Brown, Wojciech Czaja, Robert F. Bonner
Analysis of Temporal-spatial Co-variation within Gene Expression Microarray Data in an Organogenesis Model. ISBRA (2010)
Martin Ehler, Karsten Koch
The Construction of Multiwavelet Bi-Frames and Applications to Variational Image Denoising. Int. J. Wavelets Multiresolution Inf. Process. 8 (3) (2010)
Martin Ehler, Brian P. Brooks, Robert F. Bonner
Directional Equilibrium of Gene Regulatory Networks in Developmental Biology. BIOCOMP (2010)
Martin Ehler
Nonlinear approximation schemes associated with nonseparable wavelet bi-frames. J. Approx. Theory 161 (1) (2009)
Martin Ehler
Compactly Supported Multivariate, Pairs of Dual Wavelet Frames Obtained by Convolution. Int. J. Wavelets Multiresolution Inf. Process. 6 (2) (2008)
Martin Ehler, Simone Geisel
Arbitrary Shrinkage Rules for Approximation Schemes with Sparsity Constraints. Structured Decompositions and Efficient Algorithms (2008)