Simon Geisler
16 papers · 2020–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (18) 🏃 Academic Marathon (5) 🌍 Conference Polyglot (4) 🧭 Keyword Pioneer
🌍
Conference Polyglot
(4)
🏃
Academic Marathon
(5)
🤝
Dynamic Duo
(16)
👑
Triple Crown
🏆
Keyword Champion
(2)
❓
The Questioner
💎
Century Club
(16)
⚡
Prolific Year
(5)
🔥
Unstoppable
(6)
Conferences
NIPS (7)
ICLR (4)
ICML (4)
CORL (1)
Top co-authors
Keywords
graph neural network
(8)
message passing
(3)
node classification
(2)
robust aggregation
(2)
adversarial robustness
(2)
adversarial attack
(2)
positional encoding
(2)
robust statistics
(1)
network pruning
(1)
adversarial training
(1)
robot learning
(1)
weisfeiler-lehman test
(1)
directed graph
(1)
bayesian posterior
(1)
spectral method
(1)
randomized smoothing
(1)
adversarial defense
(1)
normalizing flow
(1)
gradient flow
(1)
out-of-distribution detection
(1)
Papers
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
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance
ICLR 2025
Spatio-Spectral Graph Neural Networks
NIPS 2024
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning
CORL 2023
Revisiting Robustness in Graph Machine Learning
ICLR 2023
Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions
NIPS 2023
Transformers Meet Directed Graphs
ICML 2023
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness
ICLR 2022
Are Defenses for Graph Neural Networks Robust?
NIPS 2022
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks
NIPS 2022
Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions
ICLR 2022
Winning the Lottery Ahead of Time: Efficient Early Network Pruning
ICML 2022
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification
NIPS 2021
Robustness of Graph Neural Networks at Scale
NIPS 2021
Reliable Graph Neural Networks via Robust Aggregation
NIPS 2020