Gitta Kutyniok

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 106

Top Venues

CoRR

NeurIPS

ICASSP

J. Math. Imaging Vis.

Publications

Yunseok Lee, Holger Boche, Gitta Kutyniok
Computability of Optimizers. IEEE Trans. Inf. Theory 70 (4) (2024)
Raffaele Paolino, Sohir Maskey, Pascal Welke, Gitta Kutyniok
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning. CoRR (2024)
Holger Boche, Adalbert Fono, Gitta Kutyniok
Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement. CoRR (2024)
Sohir Maskey, Gitta Kutyniok, Ron Levie
Generalization Bounds for Message Passing Networks on Mixture of Graphons. CoRR (2024)
Philipp Scholl, Maged Iskandar, Sebastian Wolf, Jinoh Lee, Aras Bacho, Alexander Dietrich, Alin Albu-Schäffer, Gitta Kutyniok
Corrigendum to "Learning-based adaption of robotic friction models" [Robotics and Computer-Integrated Manufacturing Volume 89, October 2024]. Robotics Comput. Integr. Manuf. 89 (2024)
Beatrice Lorenz, Aras Bacho, Gitta Kutyniok
Error Estimation for Physics-informed Neural Networks Approximating Semilinear Wave Equations. CoRR (2024)
Philipp Scholl, Maged Iskandar, Sebastian Wolf, Jinoh Lee, Aras Bacho, Alexander Dietrich, Alin Albu-Schäffer, Gitta Kutyniok
Learning-based adaption of robotic friction models. Robotics Comput. Integr. Manuf. 89 (2024)
Mariia Seleznova, Dana Weitzner, Raja Giryes, Gitta Kutyniok, Hung-Hsu Chou
Neural (Tangent Kernel) Collapse. CoRR (2023)
Manjot Singh, Adalbert Fono, Gitta Kutyniok
Expressivity of Spiking Neural Networks. CoRR (2023)
Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
Real-Time Outdoor Localization Using Radio Maps: A Deep Learning Approach. IEEE Trans. Wirel. Commun. 22 (12) (2023)
Çagkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutyniok, Giuseppe Caire
Overview of the Urban Wireless Localization Competition. MLSP (2023)
Philipp Scholl, Aras Bacho, Holger Boche, Gitta Kutyniok
The Uniqueness Problem of Physical Law Learning. ICASSP (2023)
Gabriel Mukobi, Peter Chatain, Su Fong, Robert Windesheim, Gitta Kutyniok, Kush Bhatia, Silas Alberti
SuperHF: Supervised Iterative Learning from Human Feedback. CoRR (2023)
Niklas Breustedt, Paolo Climaco, Jochen Garcke, Jan Hamaekers, Gitta Kutyniok, Dirk A. Lorenz, Rick Oerder, Chirag Varun Shukla
On the Interplay of Subset Selection and Informed Graph Neural Networks. CoRR (2023)
Héctor Andrade-Loarca, Julius Hege, Aras Bacho, Gitta Kutyniok
PoissonNet: Resolution-Agnostic 3D Shape Reconstruction using Fourier Neural Operators. CoRR (2023)
Christian Koke, Gitta Kutyniok
Graph Scattering beyond Wavelet Shackles. CoRR (2023)
Sohir Maskey, Raffaele Paolino, Aras Bacho, Gitta Kutyniok
A Fractional Graph Laplacian Approach to Oversmoothing. CoRR (2023)
Duc Anh Nguyen, Ron Levie, Julian Lienen, Eyke Hüllermeier, Gitta Kutyniok
Memorization-Dilation: Modeling Neural Collapse Under Noise. ICLR (2023)
Stefan Kolek, Aditya Chattopadhyay, Kwan Ho Ryan Chan, Héctor Andrade-Loarca, Gitta Kutyniok, René Vidal
Learning Interpretable Queries for Explainable Image Classification with Information Pursuit. CoRR (2023)
Silas Alberti, Niclas Dern, Laura Thesing, Gitta Kutyniok
Sumformer: Universal Approximation for Efficient Transformers. CoRR (2023)
Sohir Maskey, Raffaele Paolino, Aras Bacho, Gitta Kutyniok
A Fractional Graph Laplacian Approach to Oversmoothing. NeurIPS (2023)
Yunseok Lee, Holger Boche, Gitta Kutyniok
Computability of Optimizers. CoRR (2023)
Philipp Scholl, Katharina Bieker, Hillary Hauger, Gitta Kutyniok
ParFam - Symbolic Regression Based on Continuous Global Optimization. CoRR (2023)
Philipp Scholl, Maged Iskandar, Sebastian Wolf, Jinoh Lee, Aras Bacho, Alexander Dietrich, Alin Albu-Schäffer, Gitta Kutyniok
Learning-based adaption of robotic friction models. CoRR (2023)
Silas Alberti, Niclas Dern, Laura Thesing, Gitta Kutyniok
Sumformer: Universal Approximation for Efficient Transformers. TAG-ML (2023)
Aras Bacho, Holger Boche, Gitta Kutyniok
Reliable AI: Does the Next Generation Require Quantum Computing? CoRR (2023)
Çagkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutyniok, Giuseppe Caire
The First Pathloss Radio Map Prediction Challenge. CoRR (2023)
Raffaele Paolino, Aleksandar Bojchevski, Stephan Günnemann, Gitta Kutyniok, Ron Levie
Unveiling the sampling density in non-uniform geometric graphs. ICLR (2023)
Stefan Kolek, Robert Windesheim, Héctor Andrade-Loarca, Gitta Kutyniok, Ron Levie
Explaining Image Classifiers with Multiscale Directional Image Representation. CVPR (2023)
Holger Boche, Adalbert Fono, Gitta Kutyniok
Limitations of Deep Learning for Inverse Problems on Digital Hardware. IEEE Trans. Inf. Theory 69 (12) (2023)
Mariia Seleznova, Dana Weitzner, Raja Giryes, Gitta Kutyniok, Hung-Hsu Chou
Neural (Tangent Kernel) Collapse. NeurIPS (2023)
Çagkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutyniok, Giuseppe Caire
The First Pathloss Radio Map Prediction Challenge. ICASSP (2023)
Hugo Tadashi M. Kussaba, Abdalla Swikir, Fan Wu, Anastasija Demerdjieva, Gitta Kutyniok, Sami Haddadin
Learning optimal controllers: a dynamical motion primitive approach. CoRR (2023)
Mariia Seleznova, Gitta Kutyniok
Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization. ICML (2022)
Sohir Maskey, Ron Levie, Yunseok Lee, Gitta Kutyniok
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs. NeurIPS (2022)
Mariia Seleznova, Gitta Kutyniok
Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization. CoRR (2022)
Duc Anh Nguyen, Ron Levie, Julian Lienen, Gitta Kutyniok, Eyke Hüllermeier
Memorization-Dilation: Modeling Neural Collapse Under Noise. CoRR (2022)
Stefan Kolek, Robert Windesheim, Héctor Andrade-Loarca, Gitta Kutyniok, Ron Levie
Explaining Image Classifiers with Multiscale Directional Image Representation. CoRR (2022)
Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning. CoRR (2022)
Holger Boche, Adalbert Fono, Gitta Kutyniok
Non-Computability of the Pseudoinverse on Digital Computers. CoRR (2022)
Holger Boche, Adalbert Fono, Gitta Kutyniok
Limitations of Deep Learning for Inverse Problems on Digital Hardware. CoRR (2022)
Sohir Maskey, Yunseok Lee, Ron Levie, Gitta Kutyniok
Stability and Generalization Capabilities of Message Passing Graph Neural Networks. CoRR (2022)
Philipp Scholl, Aras Bacho, Holger Boche, Gitta Kutyniok
Well-definedness of Physical Law Learning: The Uniqueness Problem. CoRR (2022)
Yangze Zhou, Gitta Kutyniok, Bruno Ribeiro
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs. CoRR (2022)
Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
Dataset of Pathloss and ToA Radio Maps With Localization Application. CoRR (2022)
Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok
Cartoon Explanations of Image Classifiers. ECCV (12) (2022)
Yangze Zhou, Gitta Kutyniok, Bruno Ribeiro
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs. NeurIPS (2022)
Christian Koke, Gitta Kutyniok
Graph Scattering beyond Wavelet Shackles. NeurIPS (2022)
Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning. ICASSP (2022)
Aras Bacho, Holger Boche, Gitta Kutyniok
Complexity Blowup for Solutions of the Laplace and the Diffusion Equation. CoRR (2022)
Gitta Kutyniok
The Mathematics of Artificial Intelligence. CoRR (2022)
Raffaele Paolino, Aleksandar Bojchevski, Stephan Günnemann, Gitta Kutyniok, Ron Levie
Unveiling the Sampling Density in Non-Uniform Geometric Graphs. CoRR (2022)
Stephan Wäldchen, Jan MacDonald, Sascha Hauch, Gitta Kutyniok
The Computational Complexity of Understanding Binary Classifier Decisions. J. Artif. Intell. Res. 70 (2021)
Ron Levie, Wei Huang, Lorenzo Bucci, Michael Bronstein, Gitta Kutyniok
Transferability of Spectral Graph Convolutional Neural Networks. J. Mach. Learn. Res. 22 (2021)
Mariia Seleznova, Gitta Kutyniok
Analyzing Finite Neural Networks: Can We Trust Neural Tangent Kernel Theory? MSML (2021)
Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok
A Rate-Distortion Framework for Explaining Black-box Model Decisions. CoRR (2021)
Ali Hashemi, Chang Cai, Gitta Kutyniok, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe
Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization framework. NeuroImage 239 (2021)
Sohir Maskey, Ron Levie, Gitta Kutyniok
Transferability of Graph Neural Networks: an Extended Graphon Approach. CoRR (2021)
Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem, Philipp Petersen
Deep Microlocal Reconstruction for Limited-Angle Tomography. CoRR (2021)
Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
Real-time Outdoor Localization Using Radio Maps: A Deep Learning Approach. CoRR (2021)
Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok
Cartoon Explanations of Image Classifiers. CoRR (2021)
Ron Levie, Çagkan Yapar, Gitta Kutyniok, Giuseppe Caire
RadioUNet: Fast Radio Map Estimation With Convolutional Neural Networks. IEEE Trans. Wirel. Commun. 20 (6) (2021)
Julius Berner, Philipp Grohs, Gitta Kutyniok, Philipp Petersen
The Modern Mathematics of Deep Learning. CoRR (2021)
Moritz Geist, Philipp Petersen, Mones Raslan, Reinhold Schneider, Gitta Kutyniok
Numerical Solution of the Parametric Diffusion Equation by Deep Neural Networks. J. Sci. Comput. 88 (1) (2021)
Luis Oala, Cosmas Heiß, Jan MacDonald, Maximilian März, Gitta Kutyniok, Wojciech Samek
Detecting failure modes in image reconstructions with interval neural network uncertainty. Int. J. Comput. Assist. Radiol. Surg. 16 (12) (2021)
Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok
A Rate-Distortion Framework for Explaining Black-Box Model Decisions. xxAI@ICML (2020)
Héctor Andrade-Loarca, Gitta Kutyniok
tfShearlab: The TensorFlow Digital Shearlet Transform for Deep Learning. CoRR (2020)
Ron Levie, Haim Avron, Gitta Kutyniok
Quasi Monte Carlo Time-Frequency Analysis. CoRR (2020)
Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
Real-time Localization Using Radio Maps. CoRR (2020)
Cosmas Heiß, Ron Levie, Cinjon Resnick, Gitta Kutyniok, Joan Bruna
In-Distribution Interpretability for Challenging Modalities. CoRR (2020)
Joan Bruna, Eldad Haber, Gitta Kutyniok, Thomas Pock, René Vidal
Special Issue on the Mathematical Foundations of Deep Learning in Imaging Science. J. Math. Imaging Vis. 62 (3) (2020)
Alex Goeßmann, M. Götte, Ingo Roth, Ryan Sweke, Gitta Kutyniok, Jens Eisert
Tensor network approaches for learning non-linear dynamical laws. CoRR (2020)
Ron Levie, Çagkan Yapar, Gitta Kutyniok, Giuseppe Caire
Pathloss Prediction using Deep Learning with Applications to Cellular Optimization and Efficient D2D Link Scheduling. ICASSP (2020)
Philipp Grohs, Gitta Kutyniok, Jackie Ma, Philipp Petersen, Mones Raslan
Anisotropic multiscale systems on bounded domains. Adv. Comput. Math. 46 (2) (2020)
Moritz Geist, Philipp Petersen, Mones Raslan, Reinhold Schneider, Gitta Kutyniok
Numerical Solution of the Parametric Diffusion Equation by Deep Neural Networks. CoRR (2020)
Ingo Gühring, Mones Raslan, Gitta Kutyniok
Expressivity of Deep Neural Networks. CoRR (2020)
Alex Goeßmann, Gitta Kutyniok
The Restricted Isometry of ReLU Networks: Generalization through Norm Concentration. CoRR (2020)
Mariia Seleznova, Gitta Kutyniok
Analyzing Finite Neural Networks: Can We Trust Neural Tangent Kernel Theory? CoRR (2020)
Luis Oala, Cosmas Heiß, Jan MacDonald, Maximilian März, Wojciech Samek, Gitta Kutyniok
Interval Neural Networks: Uncertainty Scores. CoRR (2020)
Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem
Shearlets as Feature Extractor for Semantic Edge Detection: The Model-Based and Data-Driven Realm. CoRR (2019)
Ron Levie, Çagkan Yapar, Gitta Kutyniok, Giuseppe Caire
RadioUNet: Fast Radio Map Estimation with Convolutional Neural Networks. CoRR (2019)
Ingo Gühring, Gitta Kutyniok, Philipp Petersen
Error bounds for approximations with deep ReLU neural networks in $W^{s, p}$ norms. CoRR (2019)
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
The Oracle of DLphi. CoRR (2019)
Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem, Philipp Petersen
Extraction of Digital Wavefront Sets Using Applied Harmonic Analysis and Deep Neural Networks. SIAM J. Imaging Sci. 12 (4) (2019)
Jan MacDonald, Stephan Wäldchen, Sascha Hauch, Gitta Kutyniok
A Rate-Distortion Framework for Explaining Neural Network Decisions. CoRR (2019)
Helmut Bölcskei, Philipp Grohs, Gitta Kutyniok, Philipp Petersen
Optimal Approximation with Sparsely Connected Deep Neural Networks. SIAM J. Math. Data Sci. 1 (1) (2019)
Gitta Kutyniok, Philipp Petersen, Mones Raslan, Reinhold Schneider
A Theoretical Analysis of Deep Neural Networks and Parametric PDEs. CoRR (2019)
Ron Levie, Elvin Isufi, Gitta Kutyniok
On the Transferability of Spectral Graph Filters. CoRR (2019)
Rémi Gribonval, Gitta Kutyniok, Morten Nielsen, Felix Voigtländer
Approximation spaces of deep neural networks. CoRR (2019)
Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem, Philipp Petersen
Extraction of digital wavefront sets using applied harmonic analysis and deep neural networks. CoRR (2019)
Stephan Wäldchen, Jan MacDonald, Sascha Hauch, Gitta Kutyniok
The Computational Complexity of Understanding Network Decisions. CoRR (2019)
Ron Levie, Michael M. Bronstein, Gitta Kutyniok
Transferability of Spectral Graph Convolutional Neural Networks. CoRR (2019)
Wolfgang Dahmen, Gitta Kutyniok, Wang-Q Lim, Christoph Schwab, Gerrit Welper
Adaptive anisotropic Petrov-Galerkin methods for first order transport equations. J. Comput. Appl. Math. 340 (2018)
Gerhard Wunder, Ingo Roth, Axel Flinth, Mahdi Barzegar, Saeid Haghighatshoar, Giuseppe Caire, Gitta Kutyniok
Hierarchical Sparse Channel Estimation for Massive MIMO. CoRR (2018)
Gitta Kutyniok, Wang-Q Lim
Optimal Compressive Imaging of Fourier Data. SIAM J. Imaging Sci. 11 (1) (2018)
Tatiana A. Bubba, Gitta Kutyniok, Matti Lassas, Maximilian März, Wojciech Samek, Samuli Siltanen, Vignesh Srinivasan
Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography. CoRR (2018)
Rafael Reisenhofer, Sebastian Bosse, Gitta Kutyniok, Thomas Wiegand
A Haar wavelet-based perceptual similarity index for image quality assessment. Signal Process. Image Commun. 61 (2018)
Gerhard Wunder, Ingo Roth, Mahdi Barzegar, Axel Flinth, Saeid Haghighatshoar, Giuseppe Caire, Gitta Kutyniok
Hierarchical Sparse Channel Estimation for Massive MIMO. WSA (2018)
Helmut Bölcskei, Philipp Grohs, Gitta Kutyniok, Philipp Petersen
Optimal Approximation with Sparsely Connected Deep Neural Networks. CoRR (2017)
Tim O. F. Conrad, Martin Genzel, Nada Cvetkovic, Niklas Wulkow, Alexander B. Leichtle, Jan Vybíral, Gitta Kutyniok, Christof Schütte
Sparse Proteomics Analysis - a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry data. BMC Bioinform. 18 (1) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Gitta Kutyniok