Johannes F. Lutzeyer
10 papers · 2021–2025 · 7 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🏆 Grand Slam
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Unstoppable · Bronze
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Century Club · Bronze
Top co-authors
Research topics
Deep Learning
(9)
Machine Learning
(9)
Architectures
(9)
Optimization & Theory · Machine Learning
(7)
Core Methods
(4)
Artificial Intelligence
(3)
Core AI
(3)
Learning Types · Deep Learning
(3)
Application Areas
(2)
Learning Types · Machine Learning
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Domain-Specific
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
graph neural network
(8)
adversarial robustness
(4)
node classification
(3)
graph classification
(2)
message passing
(2)
adversarial perturbation
(2)
rademacher complexity
(1)
random matrix theory
(1)
generalization error
(1)
expressive power
(1)
whole slide image
(1)
regret bound
(1)
gaussian mixture model
(1)
weight initialization
(1)
spectral analysis
(1)
noise injection
(1)
markov chain
(1)
adversarial defense
(1)
sensitivity analysis
(1)
neural network optimization
(1)
Papers
Graph Neural Network Generalization With Gaussian Mixture Model Based Augmentation
ICML 2025
HIEGNet: A Heterogenous Graph Neural Network Including the Immune Environment in Glomeruli Classification
MIDL 2025
Speeding Up Hyper-Heuristics With Markov-Chain Operator Selection and the Only-Worsening Acceptance Operator
IJCAI 2025
Understanding Virtual Nodes: Oversquashing and Node Heterogeneity
ICLR 2025
A Simple and Yet Fairly Effective Defense for Graph Neural Networks
AAAI 2024
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks
ICLR 2024
If You Want to Be Robust, Be Wary of Initialization
NeurIPS 2024
Path Neural Networks: Expressive and Accurate Graph Neural Networks
ICML 2023
Node Feature Kernels Increase Graph Convolutional Network Robustness
AISTATS 2022
Learning Parametrised Graph Shift Operators
ICLR 2021