Simon Geisler
16 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (24) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Triple Crown
🤝
Dynamic Duo
(16)
⚡
Prolific Year · Productive
💎
Century Club · Bronze
❓
The Questioner
🗃️
Keyword Collector
(63)
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(13)
Deep Learning
(12)
Architectures
(10)
Artificial Intelligence
(8)
Core AI
(7)
Core Methods
(6)
Optimization & Theory
(5)
Learning Types · Machine Learning
(4)
Bayesian & Probabilistic
(2)
Learning Types · Deep Learning
(2)
Techniques
(2)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Application Areas
(1)
Generation
(1)
Keywords
graph neural network
(10)
adversarial robustness
(4)
message passing
(3)
node classification
(3)
adversarial attack
(3)
out-of-distribution detection
(2)
positional encoding
(2)
normalizing flow
(2)
robust aggregation
(2)
density estimation
(1)
adversarial training
(1)
network pruning
(1)
graph structure
(1)
robot learning
(1)
bayesian inference
(1)
lottery ticket hypothesis
(1)
robust statistics
(1)
bayesian posterior
(1)
uncertainty quantification
(1)
directed graph
(1)
Papers
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance
ICLR 2025
REINFORCE Adversarial Attacks on Large Language Models: An Adaptive, Distributional, and Semantic Objective
ICML 2025
The Geometry of Refusal in Large Language Models: Concept Cones and Representational Independence
ICML 2025
Spatio-Spectral Graph Neural Networks
NeurIPS 2024
Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions
NeurIPS 2023
Revisiting Robustness in Graph Machine Learning
ICLR 2023
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning
CoRL 2023
Transformers Meet Directed Graphs
ICML 2023
Are Defenses for Graph Neural Networks Robust?
NeurIPS 2022
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness
ICLR 2022
Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions
ICLR 2022
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks
NeurIPS 2022
Winning the Lottery Ahead of Time: Efficient Early Network Pruning
ICML 2022
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification
NeurIPS 2021
Robustness of Graph Neural Networks at Scale
NeurIPS 2021
Reliable Graph Neural Networks via Robust Aggregation
NeurIPS 2020