Gitta Kutyniok

Ludwig-Maximilians-Universität München — Germany

Computer Science · Physical Sciences

45h-index16.3kcitations366works1.72yr avg
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Research Topics

Image and Signal Denoising Methods(109), Mathematical Analysis and Transform Methods(96), Sparse and Compressive Sensing Techniques(65), Advanced Numerical Analysis Techniques(40), Neural Networks and Applications(26)

Publications366 total

Conditional deep generative modeling of blood-based infrared spectra enables controlled in-silico phenotyping studies
2026Open Access
DRAW2ACT: Turning Depth-Encoded Trajectories into Robotic Demonstration Videos
arXiv (Cornell University)·2025Open Access
CHEM: Estimating and Understanding Hallucinations in Deep Learning for Image Processing
arXiv (Cornell University)·2025Open Access
The ethics of analog AI
AI and Ethics·2025Open Access
Investigation of data-driven stopping power calibration of treatment planning x-ray CT from simulated sparse-view proton radiographies
Physics in Medicine and Biology·2025Open Access
Random Spiking Neural Networks are Stable and Spectrally Simple
arXiv (Cornell University)·2025Open Access
RoboSwap: A GAN-driven Video Diffusion Framework For Unsupervised Robot Arm Swapping
2025
RoboEnvision: A Long-Horizon Video Generation Model for Multi-Task Robot Manipulation
2025
Improved probabilistic regression using diffusion models
arXiv (Cornell University)·2025Open Access
RoboEnvision: A Long-Horizon Video Generation Model for Multi-Task Robot Manipulation
arXiv (Cornell University)·2025Open Access
Generalization Bounds for Message Passing Networks on Mixture of Graphons
SIAM Journal on Mathematics of Data Science·2025· 1 citedOpen Access
RoboSwap: A GAN-driven Video Diffusion Framework For Unsupervised Robot Arm Swapping
arXiv (Cornell University)·2025Open Access
Computability of Classification and Deep Learning: From Theoretical Limits to Practical Feasibility Through Quantization
Journal of Fourier Analysis and Applications·2025· 1 citedOpen Access
Conflicting Biases at the Edge of Stability: Norm versus Sharpness Regularization
ArXiv.org·2025Open Access
Revisiting Glorot Initialization for Long-Range Linear Recurrences
arXiv (Cornell University)·2025Open Access
GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection
arXiv (Cornell University)·2025Open Access
Interpretable Robotic Friction Learning via Symbolic Regression
arXiv (Cornell University)·2025Open Access
Graph Representational Learning: When Does More Expressivity Hurt Generalization?
arXiv (Cornell University)·2025Open Access
How Can Reliability of Artificial Intelligence Be Ensured?
Harvard Data Science Review·2025Open Access
An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression
arXiv (Cornell University)·2025Open Access
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Frequent Co-authors

Peter G. Casazza(11), Demetrio Labate(6), Wang‐Q Lim(5), Yonina C. Eldar(4), Robert Calderbank(4), Christopher Heil(3), Enkelejda Kasneci(2), Kathrin Seßler(2), Stefan Küchemann(2), Maria Bannert(2), Daryna Dementieva(2), Frank Fischer(2), Urs Gasser(2), Georg Groh(2), Stephan Günnemann(2), Eyke Hüllermeier(2), Stephan Krusche(2), Tilman Michaeli(2), Claudia Nerdel(2), Jürgen Pfeffer(2)