Gitta Kutyniok
17 papers · 2021–2026 · 8 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (26) 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird
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Prolific Year · Productive
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Unstoppable · Bronze
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The Questioner
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Century Club · Bronze
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Research topics
Machine Learning
(15)
Deep Learning
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(9)
Optimization & Theory · Machine Learning
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Learning Types · Deep Learning
(5)
Artificial Intelligence
(4)
Core AI
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Mathematics & Optimization
(2)
Application Areas
(2)
Mathematics
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Computer Vision
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Analysis
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Learning Types · Machine Learning
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Keywords
graph neural network
(6)
graph classification
(2)
deep neural network
(2)
uncertainty quantification
(2)
neural collapse
(2)
message passing
(2)
image classification
(2)
aleatoric uncertainty
(2)
neural tangent kernel
(2)
epistemic uncertainty
(2)
feature learning
(1)
deep learning theory
(1)
feature embedding
(1)
wavelet transform
(1)
self-supervised learning
(1)
link prediction
(1)
representation learning
(1)
feature representation
(1)
continuous optimization
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out-of-distribution generalization
(1)
Papers
An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression
UAI 2026
Uncertainty Quantification for Regression: A Unified Framework based on kernel scores
UAI 2026
Learning Interpretable Queries for Explainable Image Classification with Information Pursuit
ICCV 2025
ParFam -- (Neural Guided) Symbolic Regression via Continuous Global Optimization
ICLR 2025
Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time
ICML 2025
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning
NeurIPS 2024
A Fractional Graph Laplacian Approach to Oversmoothing
NeurIPS 2023
Explaining Image Classifiers With Multiscale Directional Image Representation
CVPR 2023
Memorization-Dilation: Modeling Neural Collapse Under Noise
ICLR 2023
Neural (Tangent Kernel) Collapse
NeurIPS 2023
Unveiling the sampling density in non-uniform geometric graphs
ICLR 2023
Cartoon Explanations of Image Classifiers
ECCV 2022
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs
NeurIPS 2022
Graph Scattering beyond Wavelet Shackles
NeurIPS 2022
Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization
ICML 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs
NeurIPS 2022
Transferability of Spectral Graph Convolutional Neural Networks
JMLR 2021