| Anisotropic Multiscale Systems on Bounded Domain |
P. Grohs, G. Kutyniok, J. Ma, P. Petersen, M. Raslan |
2015 |
PDF |
| CMB reconstruction from the WMAP and Planck PR2 data |
J. Bobin, F. Sureau, J.-L. Starck |
2016 |
PDF |
| Multi-band morpho-Spectral Component Analysis Deblending Tool (MuSCADeT): Deblending colourful objects |
R. Joseph, F. Courbin, J.-L. Starck |
2016 |
PDF |
| Land Classification Using Remotely Sensed Data: Going Multilabel |
K. Karalas, G. Tsagkatakis, M. Zervakis, P. Tsakalides |
2016 |
PDF |
| High Resolution Weak Lensing Mass-Mapping Combining Shear and Flexion |
F. Lanusse, J.-L. Starck, A. Leonard, S. Pires |
2016 |
PDF |
| Constraint matrix factorization for space variant PSFs field restoration |
F. M. Ngole Mboula, J.-L. Starck, K. Okomura, J. Amiaux, P. Hudelot |
2016 |
PDF |
| On graph-based feature selection for multi-hop performance characterization in industrial smart water networks |
A. Panousopoulou, P. Tsakalides |
2016 |
PDF |
| A Haar Wavelet-Based Perceptual Similarity Index for Image Quality Assessment |
R. Reisenhofer, S. Bosse, G. Kutyniok, T. Wiegand |
2016 |
PDF |
| Sparsity and inverse problems in astrophysics |
J.-L. Starck |
2016 |
PDF |
| Singular spectrum-based matrix completion for time series recovery and prediction |
G. Tsagkatakis, B. Befefull-Lozano, P. Tsakalides |
2016 |
PDF |
| Effects of Matrix Completion on the Classification of Undersampled Human Activity Data Streams |
S. Savvaki, G. Tsagkatakis, A. Panousopoulou, P. Tsakalides |
2016 |
PDF |
| Spectral Super-Resolution for Hyperspectral Images via Sparse Representations |
K. Fotiadou, G. Tsagkatakis, P. Tsakalides |
2016 |
PDF |
| Structured, compactly supported Banach frame decompositions of decompo-sition spaces |
F. Voigtlaender |
2016 |
PDF |
| Optimal Approximation with Sparsely Connected Deep Neural Networks |
H. Bolcskei, P. Grohs, G. Kutyniok, P. Petersen |
2017 |
PDF |
| Space variant deconvolution of galaxy survey images |
S. Farrens, F. M. Ngole Mboula, J.-L. Starck |
2017 |
PDF |
| Unsupervised feature-learning for galaxy SEDs with denoising autoencoders |
J. Frontera-Pons, F. Sureau, J. Bobin, E. Le Floc'h |
2017 |
PDF |
| L1-Analysis Minimization and Generalized (Co-)Sparsity: When Does Recov-ery Succeed? |
M. Genzel, G. Kutyniok, M. März |
2017 |
PDF |
| Recovering Structured Data From Superimposed Non-Linear Measurements |
M. Genzel, P. Jung |
2017 |
PDF |
| Compressed sensing for finite-valued signal |
S. Keiper, G. Kutyniok, D. G. Lee, G.E. Pfander |
2017 |
PDF |
| Shearlet-based compressed sensing for fast 3D cardiac MR imaging usingiterative reweighting |
J. Ma, M. März, S. Funk, J. Schulz-Menger, G. Kutyniok, T. Schaeffter, C. Kolbitsch |
2017 |
PDF |
| PSF field learning based on Optimal Transport Distances |
F. M. Ngole Mboula, J.-L. Starck |
2017 |
PDF |
| Sparse Reconstruction of the Merging A520 Cluster System |
A. Peel, F. Lanusse, J.-L. Starck |
2017 |
PDF |
| Optimal approximation of piecewise smooth functions using deep ReLU neu-ral networks |
P. Petersen, F. Voigtlaender |
2017 |
PDF |
| A Distributed Learning Architecture for Big Imaging Problems in Astrophysics |
A. Panousopoulou, S. Farrens, Y. Mastorakis, J.-L. Starck, P. Tsakalides |
2017 |
PDF |
| Wasserstein Dictionary Learning: Optimal Transport-based unsupervisednon-linear dictionary learning |
M. Schmitz, M. Heitz, N. Bonneel, F. M. Ngole Mboula, D. Coeurjolly, M. Cuturi, G. Peyré, J.-L. Starck |
2017 |
PDF |
| Analysis vs. synthesis sparsity for α-shearlets |
F. Voigtlaender, A. Pein |
2017 |
PDF |
| A general version of Price’s theorem |
F. Voigtlaender |
2017 |
PDF |
| Compressed Sensing for Analog Signa |
B. G. Bodmann, A. Flinth, G. Kutyniok |
2018 |
PDF |
| Robust 1-Bit Compressed Sensing via Hinge Loss Minimization |
M. Genzel, A. Stollenwerk |
2018 |
PDF |
| The Mismatch Principle: Statistical Learning Under Large Model Uncertain-ties |
M. Genzel, G. Kutyniok |
2018 |
PDF |
| Improving Weak Lensing Mass Map Reconstructions using Gaussian andSparsity Priors: Application to DES SV |
N. Jeffrey et al. |
2018 |
PDF |
| A Distributed Learning Architecture for Scientific Imaging Problems |
A. Panousopoulou, S. Farrens, K. Fotiadou, A. Woiselle, G. Tsagkatakis, J.-L. Starck, P. Tsakalides |
2018 |
PDF |
| Representation learning for automated spectroscopic redshift estimation |
J. Frontera-Pons, F. Sureau, B. Moraes, J. Bobin, F. B. Abdalla |
2018 |
PDF |
| Learning sparse representations on the sphere |
F. Sureau, F. Voigtlaender, M. Wust, J.-L. Starck, G. Kutyniok |
2018 |
PDF |
