LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning. | 0 | 0.34 | 2022 |
Cartoon Explanations of Image Classifiers. | 0 | 0.34 | 2022 |
Detecting failure modes in image reconstructions with interval neural network uncertainty | 0 | 0.34 | 2021 |
Numerical Solution of the Parametric Diffusion Equation by Deep Neural Networks | 0 | 0.34 | 2021 |
RadioUNet: Fast Radio Map Estimation with Convolutional Neural Networks | 5 | 0.52 | 2021 |
Transferability of Spectral Graph Convolutional Neural Networks. | 0 | 0.34 | 2021 |
Analyzing Finite Neural Networks: Can We Trust Neural Tangent Kernel Theory? | 0 | 0.34 | 2021 |
Special Issue on the Mathematical Foundations of Deep Learning in Imaging Science | 0 | 0.34 | 2020 |
Extraction of Digital Wavefront Sets Using Applied Harmonic Analysis and Deep Neural Networks | 0 | 0.34 | 2019 |
Approximation spaces of deep neural networks. | 0 | 0.34 | 2019 |
Error bounds for approximations with deep ReLU neural networks in $W^{s, p}$ norms. | 1 | 0.35 | 2019 |
A Theoretical Analysis of Deep Neural Networks and Parametric PDEs. | 0 | 0.34 | 2019 |
The Computational Complexity of Understanding Network Decisions. | 0 | 0.34 | 2019 |
A Rate-Distortion Framework for Explaining Neural Network Decisions. | 1 | 0.34 | 2019 |
The Oracle of DLphi. | 0 | 0.34 | 2019 |
Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework For Limited Angle Computed Tomography | 3 | 0.40 | 2018 |
A Haar Wavelet-Based Perceptual Similarity Index for Image Quality Assessment. | 23 | 0.80 | 2018 |
Hierarchical Sparse Channel Estimation for Massive MIMO | 2 | 0.38 | 2018 |
Optimal Approximation With Sparsely Connected Deep Neural Networks | 17 | 0.84 | 2017 |
$\ell^1$-Analysis Minimization and Generalized (Co-)Sparsity: When Does Recovery Succeed? | 1 | 0.37 | 2017 |
Sparse Proteomics Analysis - A compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry data | 3 | 0.42 | 2017 |
JMIV Special Issue Mathematics and Image Analysis. | 0 | 0.34 | 2017 |
Shearlet-based compressed sensing for fast 3D cardiac MR imaging using iterative reweighting. | 0 | 0.34 | 2017 |
A Mathematical Framework for Feature Selection from Real-World Data with Non-Linear Observations. | 0 | 0.34 | 2016 |
ShearLab 3D: Faithful Digital Shearlet Transforms Based on Compactly Supported Shearlets. | 20 | 0.78 | 2016 |
Guest Editorial: Mathematics and Image Analysis | 0 | 0.34 | 2015 |
Linear Stable Sampling Rate: Optimality of 2D Wavelet Reconstructions from Fourier Measurements. | 2 | 0.39 | 2015 |
Parabolic Molecules. | 0 | 0.34 | 2014 |
Sparse matrices in frame theory | 2 | 0.40 | 2014 |
Clustered Sparsity and Separation of Cartoon and Texture | 1 | 0.36 | 2013 |
Scalable Frames and Convex Geometry. | 3 | 0.58 | 2013 |
Image interpolation using Shearlet based iterative refinement. | 1 | 0.35 | 2013 |
Scalable Frames | 0 | 0.34 | 2012 |
Geometric Separation by Single-Pass Alternating Thresholding | 2 | 0.44 | 2012 |
Analysis of Inpainting via Clustered Sparsity and Microlocal Analysis | 7 | 0.49 | 2012 |
ShearLab: A Rational Design of a Digital Parabolic Scaling Algorithm | 24 | 1.07 | 2012 |
Compressed Sensing: Theory and Applications | 0 | 0.34 | 2012 |
Optimally Sparse Approximations of 3D Functions by Compactly Supported Shearlet Frames. | 9 | 0.56 | 2012 |
Compactly Supported Shearlets are Optimally Sparse | 22 | 1.35 | 2011 |
Sparse fusion frames: existence and construction | 8 | 0.98 | 2011 |
Sparse Representations and Efficient Sensing of Data (Dagstuhl Seminar 11051). | 0 | 0.34 | 2011 |
Adaptive Multiresolution Analysis Structures and Shearlet Systems | 11 | 0.81 | 2011 |
Sparse Recovery From Combined Fusion Frame Measurements | 26 | 1.25 | 2011 |
Data Separation by Sparse Representations | 5 | 0.55 | 2011 |
Compactly Supported Shearlets | 11 | 0.80 | 2011 |
Sparsity Equivalence of Anisotropic Decompositions | 6 | 0.62 | 2011 |
Average case analysis of sparse recovery from combined fusion frame measurements | 1 | 0.36 | 2010 |
Upper and lower redundancy of finite frames | 0 | 0.34 | 2010 |
Optimally Sparse Frames | 13 | 0.74 | 2010 |
Image separation using wavelets and shearlets | 18 | 0.83 | 2010 |