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Bordt, Sebastian

  1. From Shapley Values to Generalized Additive Models and back
    2022/09/08 by Sebastian Bordt, Bordt, Sebastian, Ulrike von Luxburg +1 · 16 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification
  2. How Much Can We Forget about Data Contamination?
    2024/10/04 by Sebastian Bordt, Bordt, Sebastian, Suraj Srinivas +5 · 2 voices · 6 citations
    Computer Science · #Privacy-Preserving Technologies in Data #cs.AI #cs.CL #cs.LG
  3. Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models
    2024/04/09 by Sebastian Bordt, Harsha Nori, Bordt, Sebastian +7 · 7 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
  4. Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
    2023/05/30 by Srinivas, Suraj, Bordt, Sebastian, Lakkaraju, Hima · 5 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  5. Rethinking Explainable Machine Learning as Applied Statistics
    2024/02/05 by Sebastian Bordt, Bordt, Sebastian, Eric Raidl +3 · 2 voices · 3 citations
    Computer Science · #Explainable Artificial Intelligence (XAI)
  6. The Manifold Hypothesis for Gradient-Based Explanations
    2022/06/15 by Bordt, Sebastian, Upadhyay, Uddeshya, Akata, Zeynep +1 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  7. Recovery Guarantees for Kernel-based Clustering under Non-parametric Mixture Models
    2021/10/18 by Vankadara, Leena Chennuru, Bordt, Sebastian, von Luxburg, Ulrike +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  8. LLMs Understand Glass-Box Models, Discover Surprises, and Suggest Repairs
    2023/08/02 by Benjamin J. Lengerich, Sebastian Bordt, Lengerich, Benjamin J. +11 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Topic Modeling
  9. Elephants Never Forget: Testing Language Models for Memorization of Tabular Data
    2024/03/11 by Sebastian Bordt, Harsha Nori, Bordt, Sebastian +3 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling
  10. Data Science with LLMs and Interpretable Models
    2024/02/22 by Sebastian Bordt, Ben Lengerich, Bordt, Sebastian +5 · 1 citation
    Computer Science · #Natural Language Processing Techniques #Semantic Web and Ontologies #Data Mining Algorithms and Applications
  11. On the Surprising Effectiveness of Large Learning Rates under Standard Width Scaling
    2025/05/28 by Moritz Haas, Haas, Moritz, Sebastian Bordt +5 · 1 voice · 2 citations
    Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Reservoir Computing #Stochastic Gradient Optimization Techniques #cs.AI #cs.LG #stat.ML
  12. Informative Post-Hoc Explanations Only Exist for Simple Functions
    2025/08/15 by Eric Günther, Balázs Szabados, Günther, Eric +7 · 1 voice · 1 citation
    #cs.LG #cs.AI