Martin Ehler - RankMe

57 papers A* 1A 2B 1C 2Misc 1Journal 41Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Quantitative Constraints for Stable Sampling on the Sphere. CoRR Martin Ehler, Karlheinz Gröchenig
2026	J	`jnl`	Quantitative Estimates: How Well Does the Discrete Fourier Transform Approximate the Fourier Transform on \(\mathbb{R}?\). SIAM Rev. Martin Ehler, Karlheinz Gröchenig, Andreas Klotz
2025	J	`jnl`	Aliasing in Convnets: A Frame-Theoretic Perspective. CoRR Daniel Haider, Vincent Lostanlen, Martin Ehler, Nicki Holighaus, Peter Balazs
2025	J	`jnl`	Geodesic cycles on the Sphere: CoRR Martin Ehler, Karlheinz Gröchenig, Clemens Karner
2025	—	`conf`	Residual Hybrid Filterbanks. SSP Vincent Lostanlen, Xiran Zhang, Daniel Haider, Mathieu Lagrange, Martin Ehler, Peter Balazs
2024	A	`conf`	Hold Me Tight: Stable Encoder-Decoder Design for Speech Enhancement. INTERSPEECH Daniel Haider, Felix Perfler, Vincent Lostanlen, Martin Ehler, Peter Balazs
2024	J	`jnl`	Hold Me Tight: Stable Encoder-Decoder Design for Speech Enhancement. CoRR Daniel Haider, Felix Perfler, Vincent Lostanlen, Martin Ehler, Péter Balázs
2024	J	`jnl`	Injectivity of ReLU-layers: Perspectives from Frame Theory. CoRR Daniel Haider, Martin Ehler, Péter Balázs
2024	J	`jnl`	Instabilities in Convnets for Raw Audio. IEEE Signal Process. Lett. Daniel Haider, Vincent Lostanlen, Martin Ehler, Péter Balázs
2024	C	`conf`	Invertibility of ReLU-Layers: A Practical Approach. IJCCI Hannah Eckert, Daniel Haider, Martin Ehler, Peter Balazs
2024	J	`jnl`	Quantitative estimates: How well does the discrete Fourier transform approximate the Fourier transform on R. CoRR Martin Ehler, Karlheinz Gröchenig, Andreas Klotz
2024	J	`jnl`	visClust: A visual clustering algorithm based on orthogonal projections. Pattern Recognit. Anna Breger, Clemens Karner, Martin Ehler
2023	A*	`conf`	Convex Geometry of ReLU-layers, Injectivity on the Ball and Local Reconstruction. ICML Daniel Haider, Martin Ehler, Péter Balázs
2023	J	`jnl`	Convex Geometry of ReLU-layers, Injectivity on the Ball and Local Reconstruction. CoRR Daniel Haider, Martin Ehler, Péter Balázs
2023	J	`jnl`	Energy Preservation and Stability of Random Filterbanks. CoRR Daniel Haider, Vincent Lostanlen, Martin Ehler, Péter Balázs
2023	—	`conf`	Fitting Auditory Filterbanks with Multiresolution Neural Networks. WASPAA Vincent Lostanlen, Daniel Haider, Han Han, Mathieu Lagrange, Péter Balázs, Martin Ehler
2023	J	`jnl`	Fitting Auditory Filterbanks with Multiresolution Neural Networks. CoRR Vincent Lostanlen, Daniel Haider, Han Han, Mathieu Lagrange, Péter Balázs, Martin Ehler
2023	J	`jnl`	t-design curves and mobile sampling on the sphere. CoRR Martin Ehler, Karlheinz Gröchenig
2022	—	`conf`	Blood vessel segmentation in en-face OCTA images: a frequency based method. Computer-Aided Diagnosis Anna Breger, Felix Goldbach, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
2022	J	`jnl`	Gauss Quadrature for Freud Weights, Modulation Spaces, and Marcinkiewicz-Zygmund Inequalities. CoRR Martin Ehler, Karlheinz Gröchenig
2022	J	`jnl`	visClust: A visual clustering algorithm based on orthogonal projections. CoRR Anna Breger, Clemens Karner, Martin Ehler
2021	J	`jnl`	Asymptotically optimal cubature formulas on manifolds for prefixed weights. J. Approx. Theory Martin Ehler, Ujué Etayo, Bianca Gariboldi, Giacomo Gigante, Thomas Peter
2021	J	`jnl`	Blood vessel segmentation in en-face OCTA images: a frequency based method. CoRR Anna Breger, Felix Goldbach, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
2021	J	`jnl`	Curve Based Approximation of Measures on Manifolds by Discrepancy Minimization. Found. Comput. Math. Martin Ehler, Manuel Gräf, Sebastian Neumayer, Gabriele Steidl
2020	J	`jnl`	Correction to: On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. J. Math. Imaging Vis. Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
2020	J	`jnl`	On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. J. Math. Imaging Vis. Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
2019	—	`conf`	An Amplified-Target Loss Approach for Photoreceptor Layer Segmentation in Pathological OCT Scans. OMIA@MICCAI José Ignacio Orlando, Anna Breger, Hrvoje Bogunovic, Sophie Riedl, Bianca S. Gerendas, Martin Ehler, Ursula Schmidt-Erfurth
2019	J	`jnl`	An amplified-target loss approach for photoreceptor layer segmentation in pathological OCT scans. CoRR José Ignacio Orlando, Anna Breger, Hrvoje Bogunovic, Sophie Riedl, Bianca S. Gerendas, Martin Ehler, Ursula Schmidt-Erfurth
2019	J	`jnl`	On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems. CoRR Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
2019	J	`jnl`	On the reconstruction accuracy of multi-coil MRI with orthogonal projections. CoRR Anna Breger, Gabriel Ramos-Llordén, Gonzalo Vegas-Sánchez-Ferrero, W. Scott Hoge, Martin Ehler, Carl-Fredrik Westin
2019	J	`jnl`	Optimal Monte Carlo integration on closed manifolds. Stat. Comput. Martin Ehler, Manuel Gräf, Chris J. Oates
2019	J	`jnl`	Spectral decomposition of discrepancy kernels on the Euclidean ball, the special orthogonal group, and the Grassmannian manifold. CoRR Josef Dick, Martin Ehler, Manuel Gräf, Christian Krattenthaler
2018	J	`jnl`	Metric entropy, -widths, and sampling of functions on manifolds. J. Approx. Theory Martin Ehler, Frank Filbir
2018	J	`jnl`	Points on manifolds with asymptotically optimal covering radius. J. Complex. Anna Breger, Martin Ehler, Manuel Gräf
2017	Misc	`conf`	Numerically Optimizing Weights for Monte Carlo Integration on Smooth Compact Manifolds. SYNASC Martin Ehler, Manuel Gräf
2017	J	`jnl`	Optimal configurations of lines and a statistical application. Adv. Comput. Math. François Bachoc, Martin Ehler, Manuel Gräf
2015	J	`jnl`	Preconditioning Filter Bank Decomposition Using Structured Normalized Tight Frames. J. Appl. Math. Martin Ehler
2015	J	`jnl`	Signal Reconstruction From the Magnitude of Subspace Components. IEEE Trans. Inf. Theory Christine Bachoc, Martin Ehler
2014	A	`conf`	Algebraic Reconstruction Bounds and Explicit Inversion for Phase Retrieval at the Identifiability Threshold. AISTATS Franz J. Király, Martin Ehler
2014	J	`jnl`	Quasi-linear Compressed Sensing. Multiscale Model. Simul. Martin Ehler, Massimo Fornasier, Juliane Sigl
2014	J	`jnl`	The Algebraic Approach to Phase Retrieval and Explicit Inversion at the Identifiability Threshold. CoRR Franz J. Király, Martin Ehler
2013	J	`jnl`	Quasi-Linear Compressed Sensing. CoRR Martin Ehler, Massimo Fornasier, Juliane Sigl
2013	J	`jnl`	Schroedinger Eigenmaps for the Analysis of Biomedical Data. IEEE Trans. Pattern Anal. Mach. Intell. Wojciech Czaja, Martin Ehler
2012	J	`jnl`	Locally Learning Biomedical Data Using Diffusion Frames. J. Comput. Biol. Martin Ehler, Frank Filbir, Hrushikesh Narhar Mhaskar
2012	C	`conf`	Sparse endmember extraction and demixing. IGARSS Martin Ehler, Matthew J. Hirn
2012	J	`jnl`	Tight p-fusion frames CoRR Christine Bachoc, Martin Ehler
2011	—	`conf`	Extended correction model for retinal optical imaging. ICCABS Martin Ehler, Jana M. Kainerstorfer, Denise Cunningham, M. Bono, Brian P. Brooks, Robert F. Bonner
2011	B	`conf`	Modeling of the rhodopsin bleaching with variational analysis of retinal images. Image Processing Julia A. Dobrosotskaya, Martin Ehler, Emily J. King, Robert F. Bonner, Wojciech Czaja
2011	—	`conf`	Modeling photo-bleaching kinetics to map local variations in rod rhodopsin density. Computer-Aided Diagnosis Martin Ehler, Julia A. Dobrosotskaya, Emily J. King, Wojciech Czaja, Robert F. Bonner
2011	J	`jnl`	RedundancyMiner: De-replication of redundant GO categories in microarray and proteomics analysis. BMC Bioinform. 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
2011	J	`jnl`	Schroedinger Eigenmaps for the Analysis of Bio-Medical Data CoRR Wojciech Czaja, Martin Ehler
2010	—	`conf`	Analysis of Temporal-spatial Co-variation within Gene Expression Microarray Data in an Organogenesis Model. ISBRA Martin Ehler, Vinodh N. Rajapakse, Barry Zeeberg, Brian P. Brooks, Jacob D. Brown, Wojciech Czaja, Robert F. Bonner
2010	—	`conf`	Directional Equilibrium of Gene Regulatory Networks in Developmental Biology. BIOCOMP Martin Ehler, Brian P. Brooks, Robert F. Bonner
2010	J	`jnl`	The Construction of Multiwavelet Bi-Frames and Applications to Variational Image Denoising. Int. J. Wavelets Multiresolution Inf. Process. Martin Ehler, Karsten Koch
2009	J	`jnl`	Nonlinear approximation schemes associated with nonseparable wavelet bi-frames. J. Approx. Theory Martin Ehler
2008	—	`conf`	Arbitrary Shrinkage Rules for Approximation Schemes with Sparsity Constraints. Structured Decompositions and Efficient Algorithms Martin Ehler, Simone Geisel
2008	J	`jnl`	Compactly Supported Multivariate, Pairs of Dual Wavelet Frames Obtained by Convolution. Int. J. Wavelets Multiresolution Inf. Process. Martin Ehler