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Bernhard Schölkopf

Bernhard Schölkopf following

MPI Tübingen
@bschoelkopfPapers in the feed →

Papers · 22
  1. From Observation to Insight: Mechanistic World Models and the Quest for Autonomous Discovery
    2026-07-14alphaXiv arXiv S2
  2. PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers on Overleaf
    arXiv.org2026-06-07alphaXiv arXiv S2
  3. Learning to Reason Efficiently with A* Post-Training
    arXiv.org2026-05-23alphaXiv arXiv S2
  4. Preserving Historical Truth: Detecting Historical Revisionism in Large Language Models
    arXiv.org2026-02-19alphaXiv arXiv S2
  5. LoRA and Privacy: When Random Projections Help (and When They Don't)
    arXiv.org2026-01-29alphaXiv arXiv S2
  6. Are LLMs Good Safety Agents or a Propaganda Engine?
    arXiv.org2025-11-28alphaXiv arXiv S2
  7. International AI Safety Report 2025: Second Key Update: Technical Safeguards and Risk Management
    arXiv.org2025-11-25alphaXiv arXiv S2
  8. Are Language Models Efficient Reasoners? A Perspective from Logic Programming
    Neural Information Processing Systems2025-10-29alphaXiv arXiv S2
  9. International AI Safety Report 2025: First Key Update: Capabilities and Risk Implications
    arXiv.org2025-10-15alphaXiv arXiv S2
  10. Test of Time: Rethinking Temporal Signal of Benchmark Contamination
    Annual Meeting of the Association for Computational Linguistics2025-08-26alphaXiv arXiv S2
  11. Online Learning and Unlearning
    arXiv.org2025-05-13alphaXiv arXiv S2
  12. How Robust Are Router-LLMs? Analysis of the Fragility of LLM Routing Capabilities
    Conference of the European Chapter of the Association for Computational Linguistics2025-03-20alphaXiv arXiv S2
  13. Causality can systematically address the monsters under the bench(marks)
    arXiv.org2025-02-07alphaXiv arXiv S2
  14. Algorithmic causal structure emerging through compression
    CLEaR2025-02-06alphaXiv arXiv S2
  15. International AI Safety Report
    arXiv.org2025-01-29alphaXiv arXiv S2
  16. MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs
    International Conference on Learning Representations2024-10-17alphaXiv arXiv S2
  17. The passive symmetries of machine learning
    arXiv.org2023S2
  18. Jacobian-based Causal Discovery with Nonlinear ICA
    Trans. Mach. Learn. Res.2023S2
  19. Posterior Annealing: Fast Calibrated Uncertainty for Regression
    arXiv.org2023S2
  20. On Data Manifolds Entailed by Structural Causal Models
    International Conference on Machine Learning2023S2
  21. Out-of-Variable Generalization
    arXiv.org2023S2
  22. Learning Locomotion Skills from MPC in Sensor Space
    Conference on Learning for Dynamics & Control2023S2