Name
Papers
Collaborators
GITTA KUTYNIOK
61
138
Citations 
PageRank 
Referers 
325
34.77
587
Referees 
References 
528
453
Search Limit
100587
Title
Citations
PageRank
Year
LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning.00.342022
Cartoon Explanations of Image Classifiers.00.342022
Detecting failure modes in image reconstructions with interval neural network uncertainty00.342021
Numerical Solution of the Parametric Diffusion Equation by Deep Neural Networks00.342021
RadioUNet: Fast Radio Map Estimation with Convolutional Neural Networks50.522021
Transferability of Spectral Graph Convolutional Neural Networks.00.342021
Analyzing Finite Neural Networks: Can We Trust Neural Tangent Kernel Theory?00.342021
Special Issue on the Mathematical Foundations of Deep Learning in Imaging Science00.342020
Extraction of Digital Wavefront Sets Using Applied Harmonic Analysis and Deep Neural Networks00.342019
Approximation spaces of deep neural networks.00.342019
Error bounds for approximations with deep ReLU neural networks in $W^{s, p}$ norms.10.352019
A Theoretical Analysis of Deep Neural Networks and Parametric PDEs.00.342019
The Computational Complexity of Understanding Network Decisions.00.342019
A Rate-Distortion Framework for Explaining Neural Network Decisions.10.342019
The Oracle of DLphi.00.342019
Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework For Limited Angle Computed Tomography30.402018
A Haar Wavelet-Based Perceptual Similarity Index for Image Quality Assessment.230.802018
Hierarchical Sparse Channel Estimation for Massive MIMO20.382018
Optimal Approximation With Sparsely Connected Deep Neural Networks170.842017
$\ell^1$-Analysis Minimization and Generalized (Co-)Sparsity: When Does Recovery Succeed?10.372017
Sparse Proteomics Analysis - A compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry data30.422017
JMIV Special Issue Mathematics and Image Analysis.00.342017
Shearlet-based compressed sensing for fast 3D cardiac MR imaging using iterative reweighting.00.342017
A Mathematical Framework for Feature Selection from Real-World Data with Non-Linear Observations.00.342016
ShearLab 3D: Faithful Digital Shearlet Transforms Based on Compactly Supported Shearlets.200.782016
Guest Editorial: Mathematics and Image Analysis00.342015
Linear Stable Sampling Rate: Optimality of 2D Wavelet Reconstructions from Fourier Measurements.20.392015
Parabolic Molecules.00.342014
Sparse matrices in frame theory20.402014
Clustered Sparsity and Separation of Cartoon and Texture10.362013
Scalable Frames and Convex Geometry.30.582013
Image interpolation using Shearlet based iterative refinement.10.352013
Scalable Frames00.342012
Geometric Separation by Single-Pass Alternating Thresholding20.442012
Analysis of Inpainting via Clustered Sparsity and Microlocal Analysis70.492012
ShearLab: A Rational Design of a Digital Parabolic Scaling Algorithm241.072012
Compressed Sensing: Theory and Applications00.342012
Optimally Sparse Approximations of 3D Functions by Compactly Supported Shearlet Frames.90.562012
Compactly Supported Shearlets are Optimally Sparse221.352011
Sparse fusion frames: existence and construction80.982011
Sparse Representations and Efficient Sensing of Data (Dagstuhl Seminar 11051).00.342011
Adaptive Multiresolution Analysis Structures and Shearlet Systems110.812011
Sparse Recovery From Combined Fusion Frame Measurements261.252011
Data Separation by Sparse Representations50.552011
Compactly Supported Shearlets110.802011
Sparsity Equivalence of Anisotropic Decompositions60.622011
Average case analysis of sparse recovery from combined fusion frame measurements10.362010
Upper and lower redundancy of finite frames00.342010
Optimally Sparse Frames130.742010
Image separation using wavelets and shearlets180.832010
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