Gitta Kutyniok
15 papers · 2021–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🌈 Renaissance Researcher (5)
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Conference Polyglot
(7)
🧭
Keyword Pioneer
🔥
Unstoppable
(5)
⚡
Prolific Year
(5)
💎
Century Club
(15)
❓
The Questioner
🗃️
Keyword Collector
(50)
Conferences
NIPS (6)
ICLR (3)
ICML (2)
CVPR (1)
ECCV (1)
ICCV (1)
JMLR (1)
Top co-authors
Research topics
Keywords
graph neural network
(6)
image classification
(2)
graph classification
(2)
neural tangent kernel
(2)
message passing
(2)
reproducing kernel hilbert space
(1)
out-of-distribution generalization
(1)
graph laplacian
(1)
permutation equivariance
(1)
geometric deep learning
(1)
feature learning
(1)
feature representation
(1)
wavelet transform
(1)
spectral analysis
(1)
uniform convergence
(1)
deep learning theory
(1)
generalization bound
(1)
random graph
(1)
deep neural network
(1)
link prediction
(1)
Papers
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
NIPS 2024
Neural (Tangent Kernel) Collapse
NIPS 2023
Unveiling the sampling density in non-uniform geometric graphs
ICLR 2023
Explaining Image Classifiers With Multiscale Directional Image Representation
CVPR 2023
Memorization-Dilation: Modeling Neural Collapse Under Noise
ICLR 2023
A Fractional Graph Laplacian Approach to Oversmoothing
NIPS 2023
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs
NIPS 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs
NIPS 2022
Graph Scattering beyond Wavelet Shackles
NIPS 2022
Cartoon Explanations of Image Classifiers
ECCV 2022
Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization
ICML 2022
Transferability of Spectral Graph Convolutional Neural Networks
JMLR 2021