Gitta Kutyniok

200 papers A* 12A 2B 2Misc 9Journal 159Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive-CaRe: Adaptive Causal Regularization for Robust Outcome Prediction. CoRR Nithya Bhasker, Fiona R. Kolbinger, Susu Hu, Gitta Kutyniok, Stefanie Speidel
2026	J	`jnl`	FlowTouch: View-Invariant Visuo-Tactile Prediction. CoRR Seongjin Bien, Carlo Kneissl, Tobias Jülg, Frank Fundel, Thomas Ressler-Antal, Florian Walter, Björn Ommer, Gitta Kutyniok, Wolfram Burgard
2026	J	`jnl`	Guest Editorial for Part 1 of the Special Issue on the Mathematics of Deep Learning [From the Guest Editors]. IEEE Signal Process. Mag. Laura Balzano, Joan Bruna Estrach, Gitta Kutyniok, Robert Nowak, Jong Chul Ye
2026	J	`jnl`	Mathematical Foundations of Spiking Neural Networks: Strengths, challenges, and computational paradigm potential [Special Issue on the Mathematics of deep Learning]. IEEE Signal Process. Mag. Adalbert Fono, Manjot Singh, Ernesto Araya, Philipp Christian Petersen, Holger Boche, Gitta Kutyniok
2026	J	`jnl`	Physics-Informed Video Diffusion For Shallow Water Equations. CoRR Yang Bai, George Eskandar, Ziyuan Liu, Gitta Kutyniok
2026	J	`jnl`	The Price of Robustness: Stable Classifiers Need Overparameterization. CoRR Jonas von Berg, Adalbert Fono, Massimiliano Datres, Sohir Maskey, Gitta Kutyniok
2026	J	`jnl`	The ethics of analog AI. AI Ethics Maximilian Kiener, Jonas Bozenhard, Gitta Kutyniok, Sven Nyholm
2025	J	`jnl`	A Variational Framework for the Algorithmic Complexity of PDE Solutions. CoRR Juan Esteban Suarez Cardona, Holger Boche, Gitta Kutyniok
2025	J	`jnl`	An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression. CoRR Christopher Bülte, Yusuf Sale, Timo Löhr, Paul Hofman, Gitta Kutyniok, Eyke Hüllermeier
2025	J	`jnl`	CHEM: Estimating and Understanding Hallucinations in Deep Learning for Image Processing. CoRR Jianfei Li, Ines Rosellon-Inclan, Gitta Kutyniok, Jean-Luc Starck
2025	J	`jnl`	Conflicting Biases at the Edge of Stability: Norm versus Sharpness Regularization. CoRR Vít Fojtík, Maria Matveev, Hung-Hsu Chou, Gitta Kutyniok, Johannes Maly
2025	J	`jnl`	DRAW2ACT: Turning Depth-Encoded Trajectories into Robotic Demonstration Videos. CoRR Yang Bai, Liudi Yang, George Eskandar, Fengyi Shen, Mohammad Altillawi, Ziyuan Liu, Gitta Kutyniok
2025	J	`jnl`	Explainable Learning Based Regularization of Inverse Problems. CoRR Martin Burger, Samira Kabri, Gitta Kutyniok, Yunseok Lee, Lukas Weigand
2025	J	`jnl`	Generalization Bounds for Message Passing Networks on Mixture of Graphons. SIAM J. Math. Data Sci. Sohir Maskey, Gitta Kutyniok, Ron Levie
2025	J	`jnl`	GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection. CoRR Mariia Seleznova, Hung-Hsu Chou, Claudio Mayrink Verdun, Gitta Kutyniok
2025	J	`jnl`	Graph Neural Networks for Enhancing Ensemble Forecasts of Extreme Rainfall. CoRR Christopher Bülte, Sohir Maskey, Philipp Scholl, Jonas von Berg, Gitta Kutyniok
2025	J	`jnl`	Graph Representational Learning: When Does More Expressivity Hurt Generalization? CoRR Sohir Maskey, Raffaele Paolino, Fabian Jogl, Gitta Kutyniok, Johannes F. Lutzeyer
2025	J	`jnl`	Improved probabilistic regression using diffusion models. CoRR Carlo Kneissl, Christopher Bülte, Philipp Scholl, Gitta Kutyniok
2025	J	`jnl`	Interpretable Robotic Friction Learning via Symbolic Regression. CoRR Philipp Scholl, Alexander Dietrich, Sebastian Wolf, Jinoh Lee, Alin Albu-Schäffer, Gitta Kutyniok, Maged Iskandar
2025	J	`jnl`	Lightweight Learning from Actuation-Space Demonstrations via Flow Matching for Whole-Body Soft Robotic Grasping. CoRR Liudi Yang, Yang Bai, Yuhao Wang, Ibrahim Alsarraj, Gitta Kutyniok, Zhanchi Wang, Ke Wu
2025	A*	`conf`	ParFam - (Neural Guided) Symbolic Regression via Continuous Global Optimization. ICLR Philipp Scholl, Katharina Bieker, Hillary Hauger, Gitta Kutyniok
2025	—	`conf`	Preface. xAI (Late-breaking Work, Demos, Doctoral Consortium) Przemyslaw Biecek, Slawomir Nowaczyk, Gitta Kutyniok, Luca Longo
2025	J	`jnl`	Probabilistic neural operators for functional uncertainty quantification. CoRR Christopher Bülte, Philipp Scholl, Gitta Kutyniok
2025	J	`jnl`	Probabilistic neural operators for functional uncertainty quantification. Trans. Mach. Learn. Res. Christopher Bülte, Philipp Scholl, Gitta Kutyniok
2025	J	`jnl`	Random Spiking Neural Networks are Stable and Spectrally Simple. CoRR Ernesto Araya, Massimiliano Datres, Gitta Kutyniok
2025	J	`jnl`	Revisiting Glorot Initialization for Long-Range Linear Recurrences. CoRR Noga Bar, Mariia Seleznova, Yotam Alexander, Gitta Kutyniok, Raja Giryes
2025	A	`conf`	RoboEnvision: A Long-Horizon Video Generation Model for Multi-Task Robot Manipulation. IROS Liudi Yang, Yang Bai, George Eskandar, Fengyi Shen, Mohammad Altillawi, Dong Chen, Soumajit Majumder, Ziyuan Liu, Gitta Kutyniok, Abhinav Valada
2025	J	`jnl`	RoboEnvision: A Long-Horizon Video Generation Model for Multi-Task Robot Manipulation. CoRR Liudi Yang, Yang Bai, George Eskandar, Fengyi Shen, Mohammad Altillawi, Dong Chen, Soumajit Majumder, Ziyuan Liu, Gitta Kutyniok, Abhinav Valada
2025	A	`conf`	RoboSwap: A GAN-driven Video Diffusion Framework For Unsupervised Robot Arm Swapping. IROS Yang Bai, Liudi Yang, George Eskandar, Fengyi Shen, Dong Chen, Mohammad Altillawi, Ziyuan Liu, Gitta Kutyniok
2025	J	`jnl`	RoboSwap: A GAN-driven Video Diffusion Framework For Unsupervised Robot Arm Swapping. CoRR Yang Bai, Liudi Yang, George Eskandar, Fengyi Shen, Dong Chen, Mohammad Altillawi, Ziyuan Liu, Gitta Kutyniok
2025	Misc	`conf`	Robust Identifiability for Symbolic Recovery of Differential Equations. ICASSP Hillary Hauger, Philipp Scholl, Gitta Kutyniok
2025	J	`jnl`	Sustainable AI: Mathematical Foundations of Spiking Neural Networks. CoRR Adalbert Fono, Manjot Singh, Ernesto Araya, Philipp Christian Petersen, Holger Boche, Gitta Kutyniok
2025	A*	`conf`	Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time. ICML Duc Anh Nguyen, Ernesto Araya, Adalbert Fono, Gitta Kutyniok
2025	J	`jnl`	Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time. CoRR Duc Anh Nguyen, Ernesto Araya, Adalbert Fono, Gitta Kutyniok
2025	J	`jnl`	Uncertainty Quantification for Regression: A Unified Framework based on kernel scores. CoRR Christopher Bülte, Yusuf Sale, Gitta Kutyniok, Eyke Hüllermeier
2025	J	`jnl`	When is a System Discoverable from Data? Discovery Requires Chaos. CoRR Zakhar Shumaylov, Peter Zaika, Philipp Scholl, Gitta Kutyniok, Lior Horesh, Carola-Bibiane Schönlieb
2024	B	`conf`	A Mathematical Framework for Computability Aspects of Algorithmic Transparency. ISIT Holger Boche, Adalbert Fono, Gitta Kutyniok
2024	—	`conf`	Compositional Construction of Barrier Functions for Switched Impulsive Systems. CDC Katharina Bieker, Hugo T. M. Kussaba, Philipp Scholl, Jaesug Jung, Abdalla Swikir, Sami Haddadin, Gitta Kutyniok
2024	J	`jnl`	Computability of Classification and Deep Learning: From Theoretical Limits to Practical Feasibility through Quantization. CoRR Holger Boche, Vít Fojtík, Adalbert Fono, Gitta Kutyniok
2024	J	`jnl`	Computability of Optimizers. IEEE Trans. Inf. Theory Yunseok Lee, Holger Boche, Gitta Kutyniok
2024	J	`jnl`	Computing-Model and Computing-Hardware Selection for ICT Under Societal and Judicial Constraints. IEEE Access Yannik N. Böck, Holger Boche, Frank H. P. Fitzek, Gitta Kutyniok
2024	J	`jnl`	Corrigendum to "Learning-based adaption of robotic friction models" [Robotics and Computer-Integrated Manufacturing Volume 89, October 2024]. Robotics Comput. Integr. Manuf. Philipp Scholl, Maged Iskandar, Sebastian Wolf, Jinoh Lee, Aras Bacho, Alexander Dietrich, Alin Albu-Schäffer, Gitta Kutyniok
2024	J	`jnl`	Error Estimation for Physics-informed Neural Networks Approximating Semilinear Wave Equations. CoRR Beatrice Lorenz, Aras Bacho, Gitta Kutyniok
2024	J	`jnl`	Generalization Bounds for Message Passing Networks on Mixture of Graphons. CoRR Sohir Maskey, Gitta Kutyniok, Ron Levie
2024	J	`jnl`	Learning-based adaption of robotic friction models. Robotics Comput. Integr. Manuf. Philipp Scholl, Maged Iskandar, Sebastian Wolf, Jinoh Lee, Aras Bacho, Alexander Dietrich, Alin Albu-Schäffer, Gitta Kutyniok
2024	J	`jnl`	Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement. CoRR Holger Boche, Adalbert Fono, Gitta Kutyniok
2024	J	`jnl`	Robust identifiability for symbolic recovery of differential equations. CoRR Hillary Hauger, Philipp Scholl, Gitta Kutyniok
2024	A*	`conf`	Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning. NeurIPS Raffaele Paolino, Sohir Maskey, Pascal Welke, Gitta Kutyniok
2024	J	`jnl`	Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning. CoRR Raffaele Paolino, Sohir Maskey, Pascal Welke, Gitta Kutyniok
2023	A*	`conf`	A Fractional Graph Laplacian Approach to Oversmoothing. NeurIPS Sohir Maskey, Raffaele Paolino, Aras Bacho, Gitta Kutyniok
2023	J	`jnl`	A Fractional Graph Laplacian Approach to Oversmoothing. CoRR Sohir Maskey, Raffaele Paolino, Aras Bacho, Gitta Kutyniok
2023	J	`jnl`	Computability of Optimizers. CoRR Yunseok Lee, Holger Boche, Gitta Kutyniok
2023	A*	`conf`	Explaining Image Classifiers with Multiscale Directional Image Representation. CVPR Stefan Kolek, Robert Windesheim, Héctor Andrade-Loarca, Gitta Kutyniok, Ron Levie
2023	J	`jnl`	Expressivity of Spiking Neural Networks. CoRR Manjot Singh, Adalbert Fono, Gitta Kutyniok
2023	J	`jnl`	Graph Scattering beyond Wavelet Shackles. CoRR Christian Koke, Gitta Kutyniok
2023	J	`jnl`	Learning Interpretable Queries for Explainable Image Classification with Information Pursuit. CoRR Stefan Kolek, Aditya Chattopadhyay, Kwan Ho Ryan Chan, Héctor Andrade-Loarca, Gitta Kutyniok, René Vidal
2023	J	`jnl`	Learning optimal controllers: a dynamical motion primitive approach. CoRR Hugo Tadashi M. Kussaba, Abdalla Swikir, Fan Wu, Anastasija Demerdjieva, Gitta Kutyniok, Sami Haddadin
2023	J	`jnl`	Learning-based adaption of robotic friction models. CoRR Philipp Scholl, Maged Iskandar, Sebastian Wolf, Jinoh Lee, Aras Bacho, Alexander Dietrich, Alin Albu-Schäffer, Gitta Kutyniok
2023	J	`jnl`	Limitations of Deep Learning for Inverse Problems on Digital Hardware. IEEE Trans. Inf. Theory Holger Boche, Adalbert Fono, Gitta Kutyniok
2023	A*	`conf`	Memorization-Dilation: Modeling Neural Collapse Under Noise. ICLR Duc Anh Nguyen, Ron Levie, Julian Lienen, Eyke Hüllermeier, Gitta Kutyniok
2023	A*	`conf`	Neural (Tangent Kernel) Collapse. NeurIPS Mariia Seleznova, Dana Weitzner, Raja Giryes, Gitta Kutyniok, Hung-Hsu Chou
2023	J	`jnl`	Neural (Tangent Kernel) Collapse. CoRR Mariia Seleznova, Dana Weitzner, Raja Giryes, Gitta Kutyniok, Hung-Hsu Chou
2023	J	`jnl`	On the Interplay of Subset Selection and Informed Graph Neural Networks. CoRR Niklas Breustedt, Paolo Climaco, Jochen Garcke, Jan Hamaekers, Gitta Kutyniok, Dirk A. Lorenz, Rick Oerder, Chirag Varun Shukla
2023	—	`conf`	Overview of the Urban Wireless Localization Competition. MLSP Çagkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutyniok, Giuseppe Caire
2023	J	`jnl`	ParFam - Symbolic Regression Based on Continuous Global Optimization. CoRR Philipp Scholl, Katharina Bieker, Hillary Hauger, Gitta Kutyniok
2023	J	`jnl`	PoissonNet: Resolution-Agnostic 3D Shape Reconstruction using Fourier Neural Operators. CoRR Héctor Andrade-Loarca, Julius Hege, Aras Bacho, Gitta Kutyniok
2023	J	`jnl`	Real-Time Outdoor Localization Using Radio Maps: A Deep Learning Approach. IEEE Trans. Wirel. Commun. Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
2023	J	`jnl`	Reliable AI: Does the Next Generation Require Quantum Computing? CoRR Aras Bacho, Holger Boche, Gitta Kutyniok
2023	—	`conf`	Sumformer: Universal Approximation for Efficient Transformers. TAG-ML Silas Alberti, Niclas Dern, Laura Thesing, Gitta Kutyniok
2023	J	`jnl`	Sumformer: Universal Approximation for Efficient Transformers. CoRR Silas Alberti, Niclas Dern, Laura Thesing, Gitta Kutyniok
2023	J	`jnl`	SuperHF: Supervised Iterative Learning from Human Feedback. CoRR Gabriel Mukobi, Peter Chatain, Su Fong, Robert Windesheim, Gitta Kutyniok, Kush Bhatia, Silas Alberti
2023	Misc	`conf`	The First Pathloss Radio Map Prediction Challenge. ICASSP Çagkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutyniok, Giuseppe Caire
2023	J	`jnl`	The First Pathloss Radio Map Prediction Challenge. CoRR Çagkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutyniok, Giuseppe Caire
2023	Misc	`conf`	The Uniqueness Problem of Physical Law Learning. ICASSP Philipp Scholl, Aras Bacho, Holger Boche, Gitta Kutyniok
2023	A*	`conf`	Unveiling the sampling density in non-uniform geometric graphs. ICLR Raffaele Paolino, Aleksandar Bojchevski, Stephan Günnemann, Gitta Kutyniok, Ron Levie
2022	—	`conf`	Cartoon Explanations of Image Classifiers. ECCV (12) Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok
2022	J	`jnl`	Complexity Blowup for Solutions of the Laplace and the Diffusion Equation. CoRR Aras Bacho, Holger Boche, Gitta Kutyniok
2022	J	`jnl`	Dataset of Pathloss and ToA Radio Maps With Localization Application. CoRR Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
2022	J	`jnl`	Explaining Image Classifiers with Multiscale Directional Image Representation. CoRR Stefan Kolek, Robert Windesheim, Héctor Andrade-Loarca, Gitta Kutyniok, Ron Levie
2022	A*	`conf`	Generalization Analysis of Message Passing Neural Networks on Large Random Graphs. NeurIPS Sohir Maskey, Ron Levie, Yunseok Lee, Gitta Kutyniok
2022	J	`jnl`	Generalization Analysis of Message Passing Neural Networks on Large Random Graphs. CoRR Sohir Maskey, Ron Levie, Yunseok Lee, Gitta Kutyniok
2022	A*	`conf`	Graph Scattering beyond Wavelet Shackles. NeurIPS Christian Koke, Gitta Kutyniok
2022	J	`jnl`	Limitations of Deep Learning for Inverse Problems on Digital Hardware. CoRR Holger Boche, Adalbert Fono, Gitta Kutyniok
2022	Misc	`conf`	LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning. ICASSP Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
2022	J	`jnl`	LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning. CoRR Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
2022	J	`jnl`	Memorization-Dilation: Modeling Neural Collapse Under Noise. CoRR Duc Anh Nguyen, Ron Levie, Julian Lienen, Gitta Kutyniok, Eyke Hüllermeier
2022	A*	`conf`	Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization. ICML Mariia Seleznova, Gitta Kutyniok
2022	J	`jnl`	Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization. CoRR Mariia Seleznova, Gitta Kutyniok
2022	J	`jnl`	Non-Computability of the Pseudoinverse on Digital Computers. CoRR Holger Boche, Adalbert Fono, Gitta Kutyniok
2022	A*	`conf`	OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs. NeurIPS Yangze Zhou, Gitta Kutyniok, Bruno Ribeiro
2022	J	`jnl`	OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs. CoRR Yangze Zhou, Gitta Kutyniok, Bruno Ribeiro
2022	J	`jnl`	The Mathematics of Artificial Intelligence. CoRR Gitta Kutyniok
2022	J	`jnl`	Unveiling the Sampling Density in Non-Uniform Geometric Graphs. CoRR Raffaele Paolino, Aleksandar Bojchevski, Stephan Günnemann, Gitta Kutyniok, Ron Levie
2022	J	`jnl`	Well-definedness of Physical Law Learning: The Uniqueness Problem. CoRR Philipp Scholl, Aras Bacho, Holger Boche, Gitta Kutyniok
2021	J	`jnl`	A Rate-Distortion Framework for Explaining Black-box Model Decisions. CoRR Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok
2021	—	`conf`	Analyzing Finite Neural Networks: Can We Trust Neural Tangent Kernel Theory? MSML Mariia Seleznova, Gitta Kutyniok
2021	J	`jnl`	Cartoon Explanations of Image Classifiers. CoRR Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok
2021	J	`jnl`	Deep Microlocal Reconstruction for Limited-Angle Tomography. CoRR Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem, Philipp Petersen
2021	J	`jnl`	Detecting failure modes in image reconstructions with interval neural network uncertainty. Int. J. Comput. Assist. Radiol. Surg. Luis Oala, Cosmas Heiß, Jan MacDonald, Maximilian März, Gitta Kutyniok, Wojciech Samek
2021	J	`jnl`	Numerical Solution of the Parametric Diffusion Equation by Deep Neural Networks. J. Sci. Comput. Moritz Geist, Philipp Petersen, Mones Raslan, Reinhold Schneider, Gitta Kutyniok
2021	J	`jnl`	RadioUNet: Fast Radio Map Estimation With Convolutional Neural Networks. IEEE Trans. Wirel. Commun. Ron Levie, Çagkan Yapar, Gitta Kutyniok, Giuseppe Caire
2021	J	`jnl`	Real-time Outdoor Localization Using Radio Maps: A Deep Learning Approach. CoRR Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
2021	J	`jnl`	The Computational Complexity of Understanding Binary Classifier Decisions. J. Artif. Intell. Res. Stephan Wäldchen, Jan MacDonald, Sascha Hauch, Gitta Kutyniok
2021	J	`jnl`	The Modern Mathematics of Deep Learning. CoRR Julius Berner, Philipp Grohs, Gitta Kutyniok, Philipp Petersen
2021	J	`jnl`	Transferability of Graph Neural Networks: an Extended Graphon Approach. CoRR Sohir Maskey, Ron Levie, Gitta Kutyniok
2021	J	`jnl`	Transferability of Spectral Graph Convolutional Neural Networks. J. Mach. Learn. Res. Ron Levie, Wei Huang, Lorenzo Bucci, Michael M. Bronstein, Gitta Kutyniok
2021	J	`jnl`	Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization framework. NeuroImage Ali Hashemi, Chang Cai, Gitta Kutyniok, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe
2020	—	`conf`	A Rate-Distortion Framework for Explaining Black-Box Model Decisions. xxAI@ICML Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok
2020	J	`jnl`	Analyzing Finite Neural Networks: Can We Trust Neural Tangent Kernel Theory? CoRR Mariia Seleznova, Gitta Kutyniok
2020	J	`jnl`	Anisotropic multiscale systems on bounded domains. Adv. Comput. Math. Philipp Grohs, Gitta Kutyniok, Jackie Ma, Philipp Petersen, Mones Raslan
2020	J	`jnl`	Expressivity of Deep Neural Networks. CoRR Ingo Gühring, Mones Raslan, Gitta Kutyniok
2020	J	`jnl`	In-Distribution Interpretability for Challenging Modalities. CoRR Cosmas Heiß, Ron Levie, Cinjon Resnick, Gitta Kutyniok, Joan Bruna
2020	J	`jnl`	Interval Neural Networks: Uncertainty Scores. CoRR Luis Oala, Cosmas Heiss, Jan MacDonald, Maximilian März, Wojciech Samek, Gitta Kutyniok
2020	J	`jnl`	Numerical Solution of the Parametric Diffusion Equation by Deep Neural Networks. CoRR Moritz Geist, Philipp Petersen, Mones Raslan, Reinhold Schneider, Gitta Kutyniok
2020	Misc	`conf`	Pathloss Prediction using Deep Learning with Applications to Cellular Optimization and Efficient D2D Link Scheduling. ICASSP Ron Levie, Çagkan Yapar, Gitta Kutyniok, Giuseppe Caire
2020	J	`jnl`	Quasi Monte Carlo Time-Frequency Analysis. CoRR Ron Levie, Haim Avron, Gitta Kutyniok
2020	J	`jnl`	Real-time Localization Using Radio Maps. CoRR Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
2020	J	`jnl`	Special Issue on the Mathematical Foundations of Deep Learning in Imaging Science. J. Math. Imaging Vis. Joan Bruna, Eldad Haber, Gitta Kutyniok, Thomas Pock, René Vidal
2020	J	`jnl`	Tensor network approaches for learning non-linear dynamical laws. CoRR Alex Goeßmann, Michael Götte, Ingo Roth, Ryan Sweke, Gitta Kutyniok, Jens Eisert
2020	J	`jnl`	The Restricted Isometry of ReLU Networks: Generalization through Norm Concentration. CoRR Alex Goeßmann, Gitta Kutyniok
2020	J	`jnl`	tfShearlab: The TensorFlow Digital Shearlet Transform for Deep Learning. CoRR Héctor Andrade-Loarca, Gitta Kutyniok
2019	J	`jnl`	A Rate-Distortion Framework for Explaining Neural Network Decisions. CoRR Jan MacDonald, Stephan Wäldchen, Sascha Hauch, Gitta Kutyniok
2019	J	`jnl`	A Theoretical Analysis of Deep Neural Networks and Parametric PDEs. CoRR Gitta Kutyniok, Philipp Petersen, Mones Raslan, Reinhold Schneider
2019	J	`jnl`	Approximation spaces of deep neural networks. CoRR Rémi Gribonval, Gitta Kutyniok, Morten Nielsen, Felix Voigtländer
2019	J	`jnl`	Error bounds for approximations with deep ReLU neural networks in $W^{s, p}$ norms. CoRR Ingo Gühring, Gitta Kutyniok, Philipp Petersen
2019	J	`jnl`	Extraction of Digital Wavefront Sets Using Applied Harmonic Analysis and Deep Neural Networks. SIAM J. Imaging Sci. Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem, Philipp Petersen
2019	J	`jnl`	Extraction of digital wavefront sets using applied harmonic analysis and deep neural networks. CoRR Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem, Philipp Petersen
2019	J	`jnl`	On the Transferability of Spectral Graph Filters. CoRR Ron Levie, Elvin Isufi, Gitta Kutyniok
2019	J	`jnl`	Optimal Approximation with Sparsely Connected Deep Neural Networks. SIAM J. Math. Data Sci. Helmut Bölcskei, Philipp Grohs, Gitta Kutyniok, Philipp Petersen
2019	J	`jnl`	RadioUNet: Fast Radio Map Estimation with Convolutional Neural Networks. CoRR Ron Levie, Çagkan Yapar, Gitta Kutyniok, Giuseppe Caire
2019	J	`jnl`	Shearlets as Feature Extractor for Semantic Edge Detection: The Model-Based and Data-Driven Realm. CoRR Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem
2019	J	`jnl`	The Computational Complexity of Understanding Network Decisions. CoRR Stephan Wäldchen, Jan MacDonald, Sascha Hauch, Gitta Kutyniok
2019	J	`jnl`	The Oracle of DLphi. CoRR 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
2019	J	`jnl`	Transferability of Spectral Graph Convolutional Neural Networks. CoRR Ron Levie, Michael M. Bronstein, Gitta Kutyniok
2018	J	`jnl`	A Haar wavelet-based perceptual similarity index for image quality assessment. Signal Process. Image Commun. Rafael Reisenhofer, Sebastian Bosse, Gitta Kutyniok, Thomas Wiegand
2018	J	`jnl`	Adaptive anisotropic Petrov-Galerkin methods for first order transport equations. J. Comput. Appl. Math. Wolfgang Dahmen, Gitta Kutyniok, Wang-Q Lim, Christoph Schwab, Gerrit Welper
2018	—	`conf`	Hierarchical Sparse Channel Estimation for Massive MIMO. WSA Gerhard Wunder, Ingo Roth, Mahdi Barzegar, Axel Flinth, Saeid Haghighatshoar, Giuseppe Caire, Gitta Kutyniok
2018	J	`jnl`	Hierarchical Sparse Channel Estimation for Massive MIMO. CoRR Gerhard Wunder, Ingo Roth, Axel Flinth, Mahdi Barzegar, Saeid Haghighatshoar, Giuseppe Caire, Gitta Kutyniok
2018	J	`jnl`	Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography. CoRR Tatiana A. Bubba, Gitta Kutyniok, Matti Lassas, Maximilian März, Wojciech Samek, Samuli Siltanen, Vignesh Srinivasan
2018	J	`jnl`	Optimal Compressive Imaging of Fourier Data. SIAM J. Imaging Sci. Gitta Kutyniok, Wang-Q Lim
2017	J	`jnl`	$\ell^1$-Analysis Minimization and Generalized (Co-)Sparsity: When Does Recovery Succeed? CoRR Martin Genzel, Gitta Kutyniok, Maximilian März
2017	J	`jnl`	JMIV Special Issue Mathematics and Image Analysis. J. Math. Imaging Vis. Jalal Fadili, Gitta Kutyniok, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl
2017	J	`jnl`	Optimal Approximation with Sparsely Connected Deep Neural Networks. CoRR Helmut Bölcskei, Philipp Grohs, Gitta Kutyniok, Philipp Petersen
2017	J	`jnl`	Shearlet-based compressed sensing for fast 3D cardiac MR imaging using iterative reweighting. CoRR Jackie Ma, Maximilian März, Stephanie Funk, Jeanette Schulz-Menger, Gitta Kutyniok, Tobias Schaeffter, Christoph Kolbitsch
2017	J	`jnl`	Sparse Proteomics Analysis - a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry data. BMC Bioinform. Tim O. F. Conrad, Martin Genzel, Nada Cvetkovic, Niklas Wulkow, Alexander B. Leichtle, Jan Vybíral, Gitta Kutyniok, Christof Schütte
2016	J	`jnl`	A Haar Wavelet-Based Perceptual Similarity Index for Image Quality Assessment. CoRR Rafael Reisenhofer, Sebastian Bosse, Gitta Kutyniok, Thomas Wiegand
2016	J	`jnl`	A Mathematical Framework for Feature Selection from Real-World Data with Non-Linear Observations. CoRR Martin Genzel, Gitta Kutyniok
2016	J	`jnl`	ShearLab 3D: Faithful Digital Shearlet Transforms Based on Compactly Supported Shearlets. ACM Trans. Math. Softw. Gitta Kutyniok, Wang-Q Lim, Rafael Reisenhofer
2015	J	`jnl`	Guest Editorial: Mathematics and Image Analysis. J. Math. Imaging Vis. Jalal Fadili, Gitta Kutyniok, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl
2015	J	`jnl`	Image interpolation using shearlet based iterative refinement. Signal Process. Image Commun. Haricharan Lakshman, Wang-Q Lim, Heiko Schwarz, Detlev Marpe, Gitta Kutyniok, Thomas Wiegand
2015	J	`jnl`	Linear Stable Sampling Rate: Optimality of 2D Wavelet Reconstructions from Fourier Measurements. SIAM J. Math. Anal. Ben Adcock, Anders C. Hansen, Gitta Kutyniok, Jackie Ma
2015	J	`jnl`	Measures of Scalability. IEEE Trans. Inf. Theory Xuemei Chen, Gitta Kutyniok, Kasso A. Okoudjou, Friedrich Philipp, Rongrong Wang
2014	J	`jnl`	Analysis of Inpainting via Clustered Sparsity and Microlocal Analysis. J. Math. Imaging Vis. Emily J. King, Gitta Kutyniok, Xiaosheng Zhuang
2014	J	`jnl`	Asymptotic Analysis of Inpainting via Universal Shearlet Systems. SIAM J. Imaging Sci. Martin Genzel, Gitta Kutyniok
2014	J	`jnl`	Parabolic Molecules. Found. Comput. Math. Philipp Grohs, Gitta Kutyniok
2014	J	`jnl`	Sparse matrices in frame theory. Comput. Stat. Felix Krahmer, Gitta Kutyniok, Jakob Lemvig
2013	J	`jnl`	Clustered Sparsity and Separation of Cartoon and Texture. SIAM J. Imaging Sci. Gitta Kutyniok
2013	J	`jnl`	Image interpolation using Shearlet based iterative refinement. CoRR Haricharan Lakshman, Wang-Q Lim, Heiko Schwarz, Detlev Marpe, Gitta Kutyniok, Thomas Wiegand
2013	B	`conf`	Image interpolation using shearlet based sparsity priors. ICIP Haricharan Lakshman, Wang-Q Lim, Heiko Schwarz, Detlev Marpe, Gitta Kutyniok, Thomas Wiegand
2013	J	`jnl`	Scalable Frames and Convex Geometry. CoRR Gitta Kutyniok, Kasso A. Okoudjou, Friedrich Philipp
2012	J	`jnl`	Analysis of Inpainting via Clustered Sparsity and Microlocal Analysis CoRR Emily J. King, Gitta Kutyniok, Xiaosheng Zhuang
2012	J	`jnl`	Clustered Sparsity and Separation of Cartoon and Texture CoRR Gitta Kutyniok
2012	—	`book`	Compressed Sensing Yonina C. Eldar, Gitta Kutyniok
2012	J	`jnl`	Compressed Sensing: Theory and Applications CoRR Gitta Kutyniok
2012	—	`ch.`	Data separation by sparse representations. Compressed Sensing Gitta Kutyniok
2012	J	`jnl`	Geometric Separation by Single-Pass Alternating Thresholding CoRR Gitta Kutyniok
2012	—	`ch.`	Introduction to compressed sensing. Compressed Sensing Mark A. Davenport, Marco F. Duarte, Yonina C. Eldar, Gitta Kutyniok
2012	J	`jnl`	Optimally Sparse Approximations of 3D Functions by Compactly Supported Shearlet Frames. SIAM J. Math. Anal. Gitta Kutyniok, Jakob Lemvig, Wang-Q Lim
2012	J	`jnl`	Scalable Frames CoRR Gitta Kutyniok, Kasso A. Okoudjou, Friedrich Philipp, Elizabeth K. Tuley
2012	J	`jnl`	ShearLab: A Rational Design of a Digital Parabolic Scaling Algorithm. SIAM J. Imaging Sci. Gitta Kutyniok, Morteza Shahram, Xiaosheng Zhuang
2011	J	`jnl`	Adaptive Multiresolution Analysis Structures and Shearlet Systems. SIAM J. Numer. Anal. Bin Han, Gitta Kutyniok, Zuowei Shen
2011	J	`jnl`	Compactly supported shearlets are optimally sparse. J. Approx. Theory Gitta Kutyniok, Wang-Q Lim
2011	J	`jnl`	Data Separation by Sparse Representations CoRR Gitta Kutyniok
2011	J	`jnl`	Digital Shearlet Transform CoRR Gitta Kutyniok, Wang-Q Lim, Xiaosheng Zhuang
2011	J	`jnl`	Optimally Sparse Frames. IEEE Trans. Inf. Theory Peter G. Casazza, Andreas Heinecke, Felix Krahmer, Gitta Kutyniok
2011	J	`jnl`	Optimally sparse approximations of 3D functions by compactly supported shearlet frames. CoRR Gitta Kutyniok, Jakob Lemvig, Wang-Q Lim
2011	J	`jnl`	ShearLab: A Rational Design of a Digital Parabolic Scaling Algorithm CoRR Gitta Kutyniok, Morteza Shahram, Xiaosheng Zhuang
2011	J	`jnl`	Shearlets and Optimally Sparse Approximations CoRR Gitta Kutyniok, Jakob Lemvig, Wang-Q Lim
2011	J	`jnl`	Sparse Recovery From Combined Fusion Frame Measurements. IEEE Trans. Inf. Theory Petros Boufounos, Gitta Kutyniok, Holger Rauhut
2011	J	`jnl`	Sparse Representations and Efficient Sensing of Data (Dagstuhl Seminar 11051). Dagstuhl Reports Stephan Dahlke, Michael Elad, Yonina C. Eldar, Gitta Kutyniok, Gerd Teschke
2011	J	`jnl`	Sparse fusion frames: existence and construction. Adv. Comput. Math. A. Robert Calderbank, Peter G. Casazza, Andreas Heinecke, Gitta Kutyniok, Ali Pezeshki
2011	J	`jnl`	Sparsity Equivalence of Anisotropic Decompositions CoRR Gitta Kutyniok
2010	Misc	`conf`	Average case analysis of sparse recovery from combined fusion frame measurements. CISS Petros Boufounos, Gitta Kutyniok, Holger Rauhut
2010	—	`conf`	Image Separation Using Wavelets and Shearlets. Curves and Surfaces Gitta Kutyniok, Wang-Q Lim
2010	J	`jnl`	Microlocal Analysis of the Geometric Separation Problem CoRR David L. Donoho, Gitta Kutyniok
2010	J	`jnl`	Optimally Sparse Frames CoRR Peter G. Casazza, Andreas Heinecke, Felix Krahmer, Gitta Kutyniok
2010	Misc	`conf`	Upper and lower redundancy of finite frames. CISS Bernhard G. Bodmann, Peter G. Casazza, Gitta Kutyniok
2009	J	`jnl`	A quantitative notion of redundancy for finite frames. CoRR Bernhard G. Bodmann, Peter G. Casazza, Gitta Kutyniok
2009	J	`jnl`	Adaptive Directional Subdivision Schemes and Shearlet Multiresolution Analysis. SIAM J. Math. Anal. Gitta Kutyniok, Tomas Sauer
2009	J	`jnl`	Sparse Recovery from Combined Fusion Frame Measurements CoRR Petros Boufounos, Gitta Kutyniok, Holger Rauhut
2008	—	`conf`	08492 Abstracts Collection - Structured Decompositions and Efficient Algorithms. Structured Decompositions and Efficient Algorithms Stephan Dahlke, Ingrid Daubechies, Michael Elad, Gitta Kutyniok, Gerd Teschke
2008	—	`conf`	08492 Executive Summary - Structured Decompositions and Efficient Algorithms. Structured Decompositions and Efficient Algorithms Stephan Dahlke, Ingrid Daubechies, Michael Elad, Gitta Kutyniok, Gerd Teschke
2008	Misc	`conf`	Analysis of 1 minimization in the Geometric Separation Problem. CISS David L. Donoho, Gitta Kutyniok
2008	Misc	`conf`	Fusion frames and robust dimension reduction. CISS Ali Pezeshki, Gitta Kutyniok, A. Robert Calderbank
2008	—	`ed.`	Structured Decompositions and Efficient Algorithms, 30.11. - 05.12.2008 Structured Decompositions and Efficient Algorithms Stephan Dahlke, Ingrid Daubechies, Michael Elad, Gitta Kutyniok, Gerd Teschke
2008	J	`jnl`	The Uncertainty Principle Associated with the Continuous Shearlet Transform. Int. J. Wavelets Multiresolution Inf. Process. Stephan Dahlke, Gitta Kutyniok, Peter Maass, Chen Sagiv, Hans-Georg Stark, Gerd Teschke
2007	J	`jnl`	A generalization of Gram-Schmidt orthogonalization generating all Parseval frames. Adv. Comput. Math. Peter G. Casazza, Gitta Kutyniok
2007	—	`book`	Affine Density in Wavelet Analysis. Gitta Kutyniok
2007	J	`jnl`	The Homogeneous Approximation Property for wavelet frames. J. Approx. Theory Christopher Heil, Gitta Kutyniok
2005	J	`jnl`	Wilson Bases for General Time-Frequency Lattices. SIAM J. Math. Anal. Gitta Kutyniok, Thomas Strohmer