Gitta Kutyniok

According to our database, Gitta Kutyniok authored at least 127 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Computability of Optimizers.

Yunseok Lee, Holger Boche, Gitta Kutyniok

IEEE Trans. Inf. Theory, April, 2024

Corrigendum to "Learning-based adaption of robotic friction models" [Robotics and Computer-Integrated Manufacturing Volume 89, October 2024].

Philipp Scholl, Maged Iskandar, Sebastian Wolf, Jinoh Lee, Aras Bacho, Alexander Dietrich, Alin Albu-Schäffer, Gitta Kutyniok

Robotics Comput. Integr. Manuf., 2024

Learning-based adaption of robotic friction models.

Philipp Scholl, Maged Iskandar, Sebastian Wolf, Jinoh Lee, Aras Bacho, Alexander Dietrich, Alin Albu-Schäffer, Gitta Kutyniok

Robotics Comput. Integr. Manuf., 2024

Computability of Classification and Deep Learning: From Theoretical Limits to Practical Feasibility through Quantization.

Holger Boche, Vít Fojtík, Adalbert Fono, Gitta Kutyniok

CoRR, 2024

Generalization Bounds for Message Passing Networks on Mixture of Graphons.

Sohir Maskey, Gitta Kutyniok, Ron Levie

CoRR, 2024

Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning.

Raffaele Paolino, Sohir Maskey, Pascal Welke, Gitta Kutyniok

CoRR, 2024

Error Estimation for Physics-informed Neural Networks Approximating Semilinear Wave Equations.

Beatrice Lorenz, Aras Bacho, Gitta Kutyniok

CoRR, 2024

Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement.

Holger Boche, Adalbert Fono, Gitta Kutyniok

CoRR, 2024

A Mathematical Framework for Computability Aspects of Algorithmic Transparency.

Holger Boche, Adalbert Fono, Gitta Kutyniok

Proceedings of the IEEE International Symposium on Information Theory, 2024

2023

Real-Time Outdoor Localization Using Radio Maps: A Deep Learning Approach.

Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire

IEEE Trans. Wirel. Commun., December, 2023

Limitations of Deep Learning for Inverse Problems on Digital Hardware.

Holger Boche, Adalbert Fono, Gitta Kutyniok

IEEE Trans. Inf. Theory, December, 2023

Learning Interpretable Queries for Explainable Image Classification with Information Pursuit.

Stefan Kolek, Aditya Chattopadhyay, Kwan Ho Ryan Chan, Héctor Andrade-Loarca, Gitta Kutyniok, René Vidal

CoRR, 2023

SuperHF: Supervised Iterative Learning from Human Feedback.

Gabriel Mukobi, Peter Chatain, Su Fong, Robert Windesheim, Gitta Kutyniok, Kush Bhatia, Silas Alberti

CoRR, 2023

ParFam - Symbolic Regression Based on Continuous Global Optimization.

Philipp Scholl, Katharina Bieker, Hillary Hauger, Gitta Kutyniok

CoRR, 2023

Expressivity of Spiking Neural Networks.

Manjot Singh, Adalbert Fono, Gitta Kutyniok

CoRR, 2023

PoissonNet: Resolution-Agnostic 3D Shape Reconstruction using Fourier Neural Operators.

Héctor Andrade-Loarca, Julius Hege, Aras Bacho, Gitta Kutyniok

CoRR, 2023

Reliable AI: Does the Next Generation Require Quantum Computing?

Aras Bacho, Holger Boche, Gitta Kutyniok

CoRR, 2023

On the Interplay of Subset Selection and Informed Graph Neural Networks.

Niklas Breustedt, Paolo Climaco, Jochen Garcke, Jan Hamaekers, Gitta Kutyniok, Dirk A. Lorenz, Rick Oerder, Chirag Varun Shukla

CoRR, 2023

Learning optimal controllers: a dynamical motion primitive approach.

Hugo Tadashi M. Kussaba, Abdalla Swikir, Fan Wu, Anastasija Demerdjieva, Gitta Kutyniok, Sami Haddadin

CoRR, 2023

Sumformer: Universal Approximation for Efficient Transformers.

Silas Alberti, Niclas Dern, Laura Thesing, Gitta Kutyniok

Proceedings of the Topological, 2023

Neural (Tangent Kernel) Collapse.

Mariia Seleznova, Dana Weitzner, Raja Giryes, Gitta Kutyniok, Hung-Hsu Chou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Fractional Graph Laplacian Approach to Oversmoothing.

Sohir Maskey, Raffaele Paolino, Aras Bacho, Gitta Kutyniok

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Overview of the Urban Wireless Localization Competition.

Çagkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutyniok, Giuseppe Caire

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Unveiling the sampling density in non-uniform geometric graphs.

Raffaele Paolino, Aleksandar Bojchevski, Stephan Günnemann, Gitta Kutyniok, Ron Levie

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Memorization-Dilation: Modeling Neural Collapse Under Noise.

Duc Anh Nguyen, Ron Levie, Julian Lienen, Eyke Hüllermeier, Gitta Kutyniok

Proceedings of the Eleventh International Conference on Learning Representations, 2023

The First Pathloss Radio Map Prediction Challenge.

Çagkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutyniok, Giuseppe Caire

Proceedings of the IEEE International Conference on Acoustics, 2023

The Uniqueness Problem of Physical Law Learning.

Philipp Scholl, Aras Bacho, Holger Boche, Gitta Kutyniok

Proceedings of the IEEE International Conference on Acoustics, 2023

Explaining Image Classifiers with Multiscale Directional Image Representation.

Stefan Kolek, Robert Windesheim, Héctor Andrade-Loarca, Gitta Kutyniok, Ron Levie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Dataset of Pathloss and ToA Radio Maps with Localization Application.

Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire

Dataset, December, 2022

Dataset of Pathloss and ToA Radio Maps With Localization Application.

Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire

CoRR, 2022

Non-Computability of the Pseudoinverse on Digital Computers.

Holger Boche, Adalbert Fono, Gitta Kutyniok

CoRR, 2022

Complexity Blowup for Solutions of the Laplace and the Diffusion Equation.

Aras Bacho, Holger Boche, Gitta Kutyniok

CoRR, 2022

Well-definedness of Physical Law Learning: The Uniqueness Problem.

Philipp Scholl, Aras Bacho, Holger Boche, Gitta Kutyniok

CoRR, 2022

The Mathematics of Artificial Intelligence.

Gitta Kutyniok

CoRR, 2022

OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs.

Yangze Zhou, Gitta Kutyniok, Bruno Ribeiro

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generalization Analysis of Message Passing Neural Networks on Large Random Graphs.

Sohir Maskey, Ron Levie, Yunseok Lee, Gitta Kutyniok

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Graph Scattering beyond Wavelet Shackles.

Christian Koke, Gitta Kutyniok

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization.

Mariia Seleznova, Gitta Kutyniok

Proceedings of the International Conference on Machine Learning, 2022

LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning.

Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire

Proceedings of the IEEE International Conference on Acoustics, 2022

Cartoon Explanations of Image Classifiers.

Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

RadioUNet: Fast Radio Map Estimation With Convolutional Neural Networks.

Ron Levie, Çagkan Yapar, Gitta Kutyniok, Giuseppe Caire

IEEE Trans. Wirel. Commun., 2021

Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization framework.

Ali Hashemi, Chang Cai, Gitta Kutyniok, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe

NeuroImage, 2021

Numerical Solution of the Parametric Diffusion Equation by Deep Neural Networks.

Moritz Geist, Philipp Petersen, Mones Raslan, Reinhold Schneider, Gitta Kutyniok

J. Sci. Comput., 2021

Transferability of Spectral Graph Convolutional Neural Networks.

Ron Levie, Wei Huang, Lorenzo Bucci, Michael M. Bronstein, Gitta Kutyniok

J. Mach. Learn. Res., 2021

The Computational Complexity of Understanding Binary Classifier Decisions.

Stephan Wäldchen, Jan MacDonald, Sascha Hauch, Gitta Kutyniok

J. Artif. Intell. Res., 2021

Transferability of Graph Neural Networks: an Extended Graphon Approach.

Sohir Maskey, Ron Levie, Gitta Kutyniok

CoRR, 2021

Deep Microlocal Reconstruction for Limited-Angle Tomography.

Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem, Philipp Petersen

CoRR, 2021

The Modern Mathematics of Deep Learning.

Julius Berner, Philipp Grohs, Gitta Kutyniok, Philipp Petersen

CoRR, 2021

Detecting failure modes in image reconstructions with interval neural network uncertainty.

Luis Oala, Cosmas Heiß, Jan MacDonald, Maximilian März, Gitta Kutyniok, Wojciech Samek

Int. J. Comput. Assist. Radiol. Surg., 2021

Analyzing Finite Neural Networks: Can We Trust Neural Tangent Kernel Theory?

Mariia Seleznova, Gitta Kutyniok

Proceedings of the Mathematical and Scientific Machine Learning, 2021

2020

Special Issue on the Mathematical Foundations of Deep Learning in Imaging Science.

Joan Bruna, Eldad Haber, Gitta Kutyniok, Thomas Pock, René Vidal

J. Math. Imaging Vis., 2020

Quasi Monte Carlo Time-Frequency Analysis.

Ron Levie, Haim Avron, Gitta Kutyniok

CoRR, 2020

Expressivity of Deep Neural Networks.

Ingo Gühring, Mones Raslan, Gitta Kutyniok

CoRR, 2020

In-Distribution Interpretability for Challenging Modalities.

Cosmas Heiß, Ron Levie, Cinjon Resnick, Gitta Kutyniok, Joan Bruna

CoRR, 2020

The Restricted Isometry of ReLU Networks: Generalization through Norm Concentration.

Alex Goeßmann, Gitta Kutyniok

CoRR, 2020

Real-time Localization Using Radio Maps.

Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire

CoRR, 2020

tfShearlab: The TensorFlow Digital Shearlet Transform for Deep Learning.

Héctor Andrade-Loarca, Gitta Kutyniok

CoRR, 2020

Interval Neural Networks: Uncertainty Scores.

Luis Oala, Cosmas Heiss, Jan MacDonald, Maximilian März, Wojciech Samek, Gitta Kutyniok

CoRR, 2020

Tensor network approaches for learning non-linear dynamical laws.

Alex Goeßmann, M. Götte, Ingo Roth, Ryan Sweke, Gitta Kutyniok, Jens Eisert

CoRR, 2020

Anisotropic multiscale systems on bounded domains.

Philipp Grohs, Gitta Kutyniok, Jackie Ma, Philipp Petersen, Mones Raslan

Adv. Comput. Math., 2020

A Rate-Distortion Framework for Explaining Black-Box Model Decisions.

Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok

Proceedings of the xxAI - Beyond Explainable AI, 2020

Pathloss Prediction using Deep Learning with Applications to Cellular Optimization and Efficient D2D Link Scheduling.

Ron Levie, Çagkan Yapar, Gitta Kutyniok, Giuseppe Caire

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Optimal Approximation with Sparsely Connected Deep Neural Networks.

Helmut Bölcskei, Philipp Grohs, Gitta Kutyniok, Philipp Petersen

SIAM J. Math. Data Sci., 2019

Extraction of Digital Wavefront Sets Using Applied Harmonic Analysis and Deep Neural Networks.

Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem, Philipp Petersen

SIAM J. Imaging Sci., 2019

Shearlets as Feature Extractor for Semantic Edge Detection: The Model-Based and Data-Driven Realm.

Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem

CoRR, 2019

Transferability of Spectral Graph Convolutional Neural Networks.

Ron Levie, Michael M. Bronstein, Gitta Kutyniok

CoRR, 2019

A Rate-Distortion Framework for Explaining Neural Network Decisions.

Jan MacDonald, Stephan Wäldchen, Sascha Hauch, Gitta Kutyniok

CoRR, 2019

The Computational Complexity of Understanding Network Decisions.

Stephan Wäldchen, Jan MacDonald, Sascha Hauch, Gitta Kutyniok

CoRR, 2019

Approximation spaces of deep neural networks.

Rémi Gribonval, Gitta Kutyniok, Morten Nielsen, Felix Voigtländer

CoRR, 2019

A Theoretical Analysis of Deep Neural Networks and Parametric PDEs.

Gitta Kutyniok, Philipp Petersen, Mones Raslan, Reinhold Schneider

CoRR, 2019

Error bounds for approximations with deep ReLU neural networks in $W^{s, p}$ norms.

Ingo Gühring, Gitta Kutyniok, Philipp Petersen

CoRR, 2019

On the Transferability of Spectral Graph Filters.

Ron Levie, Elvin Isufi, Gitta Kutyniok

CoRR, 2019

The Oracle of DLphi.

Dominik Alfke, Weston Baines, Jan Blechschmidt, Mauricio J. del Razo Sarmina, Amnon Drory, Dennis Elbrächter, Nando Farchmin, Matteo Gambara, Silke Glas, Philipp Grohs, Peter Hinz, Danijel Kivaranovic, Christian Kümmerle, Gitta Kutyniok, Sebastian Lunz, Jan MacDonald, Ryan Malthaner, Gregory Naisat, Ariel Neufeld, Philipp Christian Petersen, Rafael Reisenhofer, Jun-Da Sheng, Laura Thesing, Philipp Trunschke, Johannes von Lindheim, David Weber, Melanie Weber

CoRR, 2019

2018

A Haar wavelet-based perceptual similarity index for image quality assessment.

Rafael Reisenhofer, Sebastian Bosse, Gitta Kutyniok, Thomas Wiegand

Signal Process. Image Commun., 2018

Optimal Compressive Imaging of Fourier Data.

Gitta Kutyniok, Wang-Q Lim

SIAM J. Imaging Sci., 2018

Adaptive anisotropic Petrov-Galerkin methods for first order transport equations.

Wolfgang Dahmen, Gitta Kutyniok, Wang-Q Lim, Christoph Schwab, Gerrit Welper

J. Comput. Appl. Math., 2018

Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography.

Tatiana A. Bubba, Gitta Kutyniok, Matti Lassas, Maximilian März, Wojciech Samek, Samuli Siltanen, Vignesh Srinivasan

CoRR, 2018

Hierarchical Sparse Channel Estimation for Massive MIMO.

Gerhard Wunder, Ingo Roth, Mahdi Barzegar, Axel Flinth, Saeid Haghighatshoar, Giuseppe Caire, Gitta Kutyniok

Proceedings of the 22nd International ITG Workshop on Smart Antennas, 2018

2017

JMIV Special Issue Mathematics and Image Analysis.

Jalal Fadili, Gitta Kutyniok, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl

J. Math. Imaging Vis., 2017

$\ell^1$-Analysis Minimization and Generalized (Co-)Sparsity: When Does Recovery Succeed?

Martin Genzel, Gitta Kutyniok, Maximilian März

CoRR, 2017

Shearlet-based compressed sensing for fast 3D cardiac MR imaging using iterative reweighting.

Jackie Ma, Maximilian März, Stephanie Funk, Jeanette Schulz-Menger, Gitta Kutyniok, Tobias Schaeffter, Christoph Kolbitsch

CoRR, 2017

Sparse Proteomics Analysis - a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry data.

Tim O. F. Conrad, Martin Genzel, Nada Cvetkovic, Niklas Wulkow, Alexander B. Leichtle, Jan Vybíral, Gitta Kutyniok, Christof Schütte

BMC Bioinform., 2017

2016

ShearLab 3D: Faithful Digital Shearlet Transforms Based on Compactly Supported Shearlets.

Gitta Kutyniok, Wang-Q Lim, Rafael Reisenhofer

ACM Trans. Math. Softw., 2016

A Mathematical Framework for Feature Selection from Real-World Data with Non-Linear Observations.

Martin Genzel, Gitta Kutyniok

CoRR, 2016

2015

Measures of Scalability.

Xuemei Chen, Gitta Kutyniok, Kasso A. Okoudjou, Friedrich Philipp, Rongrong Wang

IEEE Trans. Inf. Theory, 2015

Image interpolation using shearlet based iterative refinement.

Haricharan Lakshman, Wang-Q Lim, Heiko Schwarz, Detlev Marpe, Gitta Kutyniok, Thomas Wiegand

Signal Process. Image Commun., 2015

Linear Stable Sampling Rate: Optimality of 2D Wavelet Reconstructions from Fourier Measurements.

Ben Adcock, Anders C. Hansen, Gitta Kutyniok, Jackie Ma

SIAM J. Math. Anal., 2015

Guest Editorial: Mathematics and Image Analysis.

Jalal Fadili, Gitta Kutyniok, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl

J. Math. Imaging Vis., 2015

2014

Asymptotic Analysis of Inpainting via Universal Shearlet Systems.

Martin Genzel, Gitta Kutyniok

SIAM J. Imaging Sci., 2014

Analysis of Inpainting via Clustered Sparsity and Microlocal Analysis.

Emily J. King, Gitta Kutyniok, Xiaosheng Zhuang

J. Math. Imaging Vis., 2014

Parabolic Molecules.

Philipp Grohs, Gitta Kutyniok

Found. Comput. Math., 2014

Sparse matrices in frame theory.

Felix Krahmer, Gitta Kutyniok, Jakob Lemvig

Comput. Stat., 2014

2013

Clustered Sparsity and Separation of Cartoon and Texture.

Gitta Kutyniok

SIAM J. Imaging Sci., 2013

Scalable Frames and Convex Geometry.

Gitta Kutyniok, Kasso A. Okoudjou, Friedrich Philipp

CoRR, 2013

Image interpolation using shearlet based sparsity priors.

Haricharan Lakshman, Wang-Q Lim, Heiko Schwarz, Detlev Marpe, Gitta Kutyniok, Thomas Wiegand

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

Optimally Sparse Approximations of 3D Functions by Compactly Supported Shearlet Frames.

Gitta Kutyniok, Jakob Lemvig, Wang-Q Lim

SIAM J. Math. Anal., 2012

ShearLab: A Rational Design of a Digital Parabolic Scaling Algorithm.

Gitta Kutyniok, Morteza Shahram, Xiaosheng Zhuang

SIAM J. Imaging Sci., 2012

Geometric Separation by Single-Pass Alternating Thresholding

Gitta Kutyniok

CoRR, 2012

Scalable Frames

Gitta Kutyniok, Kasso A. Okoudjou, Friedrich Philipp, Elizabeth K. Tuley

CoRR, 2012

Compressed Sensing: Theory and Applications

Gitta Kutyniok

CoRR, 2012

Data separation by sparse representations.

Gitta Kutyniok

Proceedings of the Compressed Sensing, 2012

Introduction to compressed sensing.

Mark A. Davenport, Marco F. Duarte, Yonina C. Eldar, Gitta Kutyniok

Proceedings of the Compressed Sensing, 2012

2011

Optimally Sparse Frames.

Peter G. Casazza, Andreas Heinecke, Felix Krahmer, Gitta Kutyniok

IEEE Trans. Inf. Theory, 2011

Sparse Recovery From Combined Fusion Frame Measurements.

Petros Boufounos, Gitta Kutyniok, Holger Rauhut

IEEE Trans. Inf. Theory, 2011

Adaptive Multiresolution Analysis Structures and Shearlet Systems.

Bin Han, Gitta Kutyniok, Zuowei Shen

SIAM J. Numer. Anal., 2011

Compactly supported shearlets are optimally sparse.

Gitta Kutyniok, Wang-Q Lim

J. Approx. Theory, 2011

Sparse Representations and Efficient Sensing of Data (Dagstuhl Seminar 11051).

Stephan Dahlke, Michael Elad, Yonina C. Eldar, Gitta Kutyniok, Gerd Teschke

Dagstuhl Reports, 2011

Digital Shearlet Transform

Gitta Kutyniok, Wang-Q Lim, Xiaosheng Zhuang

CoRR, 2011

Shearlets and Optimally Sparse Approximations

Gitta Kutyniok, Jakob Lemvig, Wang-Q Lim

CoRR, 2011

Data Separation by Sparse Representations

Gitta Kutyniok

CoRR, 2011

Sparsity Equivalence of Anisotropic Decompositions

Gitta Kutyniok

CoRR, 2011

Sparse fusion frames: existence and construction.

A. Robert Calderbank, Peter G. Casazza, Andreas Heinecke, Gitta Kutyniok, Ali Pezeshki

Adv. Comput. Math., 2011

2010

Microlocal Analysis of the Geometric Separation Problem

David L. Donoho, Gitta Kutyniok

CoRR, 2010

Average case analysis of sparse recovery from combined fusion frame measurements.

Petros Boufounos, Gitta Kutyniok, Holger Rauhut

Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010

Upper and lower redundancy of finite frames.

Bernhard G. Bodmann, Peter G. Casazza, Gitta Kutyniok

Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010

Image Separation Using Wavelets and Shearlets.

Gitta Kutyniok, Wang-Q Lim

Proceedings of the Curves and Surfaces, 2010

2009

Adaptive Directional Subdivision Schemes and Shearlet Multiresolution Analysis.

Gitta Kutyniok, Tomas Sauer

SIAM J. Math. Anal., 2009

A quantitative notion of redundancy for finite frames.

Bernhard G. Bodmann, Peter G. Casazza, Gitta Kutyniok

CoRR, 2009

2008

The Uncertainty Principle Associated with the Continuous Shearlet Transform.

Stephan Dahlke, Gitta Kutyniok, Peter Maass, Chen Sagiv, Hans-Georg Stark, Gerd Teschke

Int. J. Wavelets Multiresolution Inf. Process., 2008

08492 Executive Summary - Structured Decompositions and Efficient Algorithms.

Stephan Dahlke, Ingrid Daubechies, Michael Elad, Gitta Kutyniok, Gerd Teschke

Proceedings of the Structured Decompositions and Efficient Algorithms, 30.11. - 05.12.2008, 2008

08492 Abstracts Collection - Structured Decompositions and Efficient Algorithms.

Stephan Dahlke, Ingrid Daubechies, Michael Elad, Gitta Kutyniok, Gerd Teschke

Proceedings of the Structured Decompositions and Efficient Algorithms, 30.11. - 05.12.2008, 2008

Fusion frames and robust dimension reduction.

Ali Pezeshki, Gitta Kutyniok, A. Robert Calderbank

Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008

Analysis of 1 minimization in the Geometric Separation Problem.

David L. Donoho, Gitta Kutyniok

Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008

2007

The Homogeneous Approximation Property for wavelet frames.

Christopher Heil, Gitta Kutyniok

J. Approx. Theory, 2007

A generalization of Gram-Schmidt orthogonalization generating all Parseval frames.

Peter G. Casazza, Gitta Kutyniok

Adv. Comput. Math., 2007

Affine Density in Wavelet Analysis.

Gitta Kutyniok

Lecture Notes in Mathematics 1914, Springer, ISBN: 978-3-540-72916-7, 2007

2005

Wilson Bases for General Time-Frequency Lattices.

Gitta Kutyniok, Thomas Strohmer

SIAM J. Math. Anal., 2005