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Simon Geisler

  1. Gemma 4 Technical Report
    2026/07/02 by Gemma Team, Sherif El Abd, Vaibhav Aggarwal +320 · 7 voices · 8 citations
    #cs.CL #cs.AI
  2. Attacking Large Language Models with Projected Gradient Descent
    2024/02/14 by Simon Geisler, Geisler, Simon, Tom Wollschläger +7 · 17 citations
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  3. Robustness of Graph Neural Networks at Scale
    2021/10/26 by Simon Geisler, Geisler, Simon, Tobias S. Schmidt +9 · 9 citations
    Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #Advanced Graph Neural Networks #Machine Learning in Materials Science
  4. The Geometry of Refusal in Large Language Models: Concept Cones and Representational Independence
    2025/02/24 by Tom Wollschläger, Jannes Elstner, Wollschläger, Tom +9 · 15 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  5. Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification
    2021/10/26 by Maximilian Stadler, Bertrand Charpentier, Stadler, Maximilian +7 · 4 citations
    Computer Science · #Advanced Graph Neural Networks #Adversarial Robustness in Machine Learning #Bayesian Modeling and Causal Inference #Computational Drug Discovery Methods #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  6. Transformers Meet Directed Graphs
    2023/01/31 by Simon Geisler, Geisler, Simon, Yujia Li +9 · 5 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Genomics and Chromatin Dynamics #Advanced Image and Video Retrieval Techniques #Music and Audio Processing
  7. Spatio-Spectral Graph Neural Networks
    2024/05/29 by Simon Geisler, Arthur Kosmala, Geisler, Simon +5 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
  8. REINFORCE Adversarial Attacks on Large Language Models: An Adaptive, Distributional, and Semantic Objective
    2025/02/24 by Simon Geisler, Geisler, Simon, Tom Wollschläger +9 · 1 voice · 3 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.LG
  9. Natural Posterior Network: Deep Bayesian Uncertainty for Exponential Family Distributions
    2021/05/10 by Bertrand Charpentier, Charpentier, Bertrand, Oliver Borchert +7 · 1 citation
    Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  10. Generalization of Neural Combinatorial Solvers Through the Lens of\n Adversarial Robustness
    2021/10/21 by Simon Geisler, Johanna Sommer, Geisler, Simon +7 · 1 citation
    Computer Science · #Computational Drug Discovery Methods
  11. Winning the Lottery Ahead of Time: Efficient Early Network Pruning
    2022/06/21 by John Rachwan, Rachwan, John, Daniel Zügner +9 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG)
  12. Are Defenses for Graph Neural Networks Robust?
    2023/01/31 by Felix Mujkanovic, Mujkanovic, Felix, Simon Geisler +5 · 1 citation
    Computer Science · Materials Science · #Advanced Graph Neural Networks #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
  13. Explainable Graph Neural Networks Under Fire
    2024/06/10 by Zhong Li, Li, Zhong, Simon Geisler +7 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)