World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
22734
World Ranking
3738
National Ranking
167

Mathematics

D-Index
57
Citations
17180
World Ranking
676
National Ranking
34

Research.com Recognitions

  • 2019 - SIAM Fellow For contributions to applied harmonic analysis, compressed sensing, and imaging sciences.

Overview

Gitta Kutyniok is affiliated with Ludwig-Maximilians-Universität München in Germany. Their primary research encompasses extensive contributions to computer science and engineering, with a focus on artificial intelligence and related subfields.

The scientist's main fields of study are:

  • Computer Science
  • Engineering

Within these fields, their research covers several subfields such as:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Statistical and Nonlinear Physics
  • Electrical and Electronic Engineering
  • Computational Theory and Mathematics

The main topics of their work include:

  • Neural Networks and Applications
  • Model Reduction and Neural Networks
  • Advanced Graph Neural Networks
  • Sparse and Compressive Sensing Techniques
  • Indoor and Outdoor Localization Technologies
  • Explainable Artificial Intelligence (XAI)
  • Adversarial Robustness in Machine Learning

Prominent papers authored or coauthored by Gitta Kutyniok are:

  • "ChatGPT for good? On opportunities and challenges of large language models for education," 2023, Learning and Individual Differences
  • "Approximation Spaces of Deep Neural Networks," 2021, Constructive Approximation
  • "ℓ1-Analysis minimization and generalized (co-)sparsity: When does recovery succeed?" 2020, Applied and Computational Harmonic Analysis
  • "A Theoretical Analysis of Deep Neural Networks and Parametric PDEs," 2021, Constructive Approximation
  • "Real-Time Outdoor Localization Using Radio Maps: A Deep Learning Approach," 2023, IEEE Transactions on Wireless Communications

Frequent collaborators in their research include:

  • Ron Levie
  • Holger Boche
  • Philipp Petersen
  • Çağkan Yapar
  • Giuseppe Caire

Their work has been published extensively in the following venues:

  • arXiv (Cornell University)
  • Applied and Computational Harmonic Analysis
  • Oberwolfach Reports
  • Constructive Approximation
  • IEEE Transactions on Wireless Communications

In recognition of their contributions, Gitta Kutyniok was named a SIAM Fellow in 2019 for work in applied harmonic analysis, compressed sensing, and imaging sciences.

Best Publications

  • ChatGPT for good? On opportunities and challenges of large language models for education

    Unknown

  • Compressed sensing : theory and applications

    Yonina C. Eldar;Gitta Kutyniok

  • Compressed Sensing: List of contributors

    Yonina C. Eldar;Gitta Kutyniok

  • Introduction to compressed sensing

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

  • Sparse multidimensional representation using shearlets

    Demetrio Labate;Wang-Q. Lim;Gitta Kutyniok;Guido Weiss

  • Finite Frames: Theory and Applications

    Peter G. Casazza;Gitta Kutyniok

  • Fusion frames and distributed processing

    Peter G. Casazza;Gitta Kutyniok;Shidong Li

  • Frames of subspaces

    Peter G. Casazza;Gitta Kutyniok

  • Shearlets: Multiscale Analysis for Multivariate Data

    Gitta Kutyniok;Demetrio Labate

  • Resolution of the wavefront set using continuous shearlets

    Gitta Kutyniok;Demetrio Labate

  • Full length article: Compactly supported shearlets are optimally sparse

    Gitta Kutyniok;Wang-Q Lim

  • A Haar Wavelet-Based Perceptual Similarity Index for Image Quality Assessment

    Rafael Reisenhofer;Sebastian Bosse;Gitta Kutyniok;Thomas Wiegand

  • Optimal Approximation with Sparsely Connected Deep Neural Networks

    Helmut Bölcskei;Philipp Grohs;Gitta Kutyniok;Philipp Petersen

  • Construction of Compactly Supported Shearlet Frames

    Pisamai Kittipoom;Gitta Kutyniok;Wang-Q Lim

  • A Theoretical Analysis of Deep Neural Networks and Parametric PDEs

    Gitta Kutyniok;Gitta Kutyniok;Philipp Petersen;Mones Raslan;Reinhold Schneider

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

    Gitta Kutyniok;Wang-Q Lim;Rafael Reisenhofer

  • Shearlet coorbit spaces and associated Banach frames

    Stephan Dahlke;Gitta Kutyniok;Gabriele Steidl;Gerd Teschke

  • Error bounds for approximations with deep ReLU neural networks in Ws,p norms

    Ingo Gühring;Gitta Kutyniok;Gitta Kutyniok;Philipp Petersen

  • THE UNCERTAINTY PRINCIPLE ASSOCIATED WITH THE CONTINUOUS SHEARLET TRANSFORM

    Stephan Dahlke;Gitta Kutyniok;Peter Maass;Chen Sagiv

  • RadioUNet: Fast Radio Map Estimation With Convolutional Neural Networks

    Ron Levie;Cagkan Yapar;Gitta Kutyniok;Giuseppe Caire

  • FRAMES OF SUBSPACES. WAVELETS, FRAMES AND OPERATOR THEORY

    P G Cazassa;G Kutyniok

  • Compactly Supported Shearlets are Optimally Sparse

    G. Kutyniok;W. Lim

Frequent Co-Authors

Peter G. Casazza
Peter G. Casazza University of Missouri
Philipp Grohs
Philipp Grohs University of Vienna
Stephan Dahlke
Stephan Dahlke Philipp University of Marburg
Demetrio Labate
Demetrio Labate University of Houston
Ingrid Daubechies
Ingrid Daubechies Duke University
Holger Rauhut
Holger Rauhut RWTH Aachen University
Thomas Strohmer
Thomas Strohmer University of California, Davis
Yonina C. Eldar
Yonina C. Eldar Weizmann Institute of Science
Michael Elad
Michael Elad Technion – Israel Institute of Technology
Giuseppe Caire
Giuseppe Caire Technical University of Berlin

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