Kristian Kersting

Venues

Frequent coauthors

Papers

1. Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning
   ACL 2026 ·

   Sikuan Yan

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2. SLR: Automated Synthesis for Scalable Logical Reasoning
   ACL 2026 ·

   Lukas Helff

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3. ART: Adaptive Relation Tuning for Generalized Relation Prediction
   ICCV 2025 ·

   Gopika Sudhakaran

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4. Adaptable Hindsight Experience Replay for Search-Based Learning
   ECML-PKDD 2025 ·

   Alexandros Vazaios

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5. BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
   ICLR 2025 ·

   Hikaru Shindo

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6. Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?
   ICML 2025 ·

   Antonia Wüst

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7. Core Tokensets for Data-Efficient Sequential Training of Transformers
   ICCV 2025 ·

   Subarnaduti Paul

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8. Credibility-Aware Multimodal Fusion Using Probabilistic Circuits
   AISTATS 2025 ·

   Sahil Sidheekh

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9. EmoNet-Face: An Expert-Annotated Benchmark for Synthetic Emotion Recognition
   NeurIPS 2025 ·

   Christoph Schuhmann

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10. Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data
    NeurIPS 2025 ·

    Harsh Poonia

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11. How to Train Your Text-to-Image Model: Evaluating Design Choices for Synthetic Training Captions
    ICCV 2025 ·

    Manuel Brack

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12. Human-in-the-loop or AI-in-the-loop? Automate or Collaborate?
    AAAI 2025 ·

    Sriraam Natarajan

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13. Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models
    EMNLP 2025 ·

    Mehdi Ali

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14. LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models
    ICML 2025 ·

    Lukas Helff

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15. METok: Multi-Stage Event-based Token Compression for Efficient Long Video Understanding
    EMNLP 2025 ·

    Mengyue Wang

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16. Measuring and Guiding Monosemanticity
    NeurIPS 2025 ·

    Ruben Härle

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17. Multilingual Text-to-Image Generation Magnifies Gender Stereotypes
    ACL 2025 ·

    Felix Friedrich

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18. Object-Centric Concept-Bottlenecks
    NeurIPS 2025 ·

    David Steinmann

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19. ObscuraCoder: Powering Efficient Code LM Pre-Training Via Obfuscation Grounding
    ICLR 2025 ·

    Indraneil Paul

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20. Right on Time: Revising Time Series Models by Constraining Their Explanations
    ECML-PKDD 2025 ·

    Maurice Kraus

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21. STRICTA: Structured Reasoning in Critical Text Assessment for Peer Review and Beyond
    ACL 2025 ·

    Nils Dycke

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22. Scaling Probabilistic Circuits via Data Partitioning
    UAI 2025 ·

    Jonas Seng

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23. Systems with Switching Causal Relations: A Meta-Causal Perspective
    ICLR 2025 ·

    Moritz Willig

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24. The Constitutional Filter: Bayesian Estimation of Compliant Agents
    IROS 2025 ·

    Simon Kohaut

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25. When Causal Dynamics Matter: Adapting Causal Strategies through Meta-Aware Interventions
    NeurIPS 2025 ·

    Moritz Willig

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26. Where is the Truth? The Risk of Getting Confounded in a Continual World
    ICML 2025 ·

    Florian Peter Busch

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27. xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
    NeurIPS 2025 ·

    Maurice Kraus

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28. Adaptive Rational Activations to Boost Deep Reinforcement Learning
    ICLR 2024 ·

    Quentin Delfosse

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29. Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks
    ICLR 2024 ·

    Lukas Struppek

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30. Causality in Flux: Continual Adaptation of Causal Knowledge via Evidence Matching
    AAAI 2024 ·

    Jonas Seng

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31. Deep Classifier Mimicry without Data Access
    AISTATS 2024 ·

    Steven Braun

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32. Defending Our Privacy with Backdoors
    ECAI 2024 ·

    Dominik Hintersdorf

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33. DeiSAM: Segment Anything with Deictic Prompting
    NeurIPS 2024 ·

    Hikaru Shindo

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34. Divergent Token Metrics: Measuring degradation to prune away LLM components - and optimize quantization
    NAACL 2024 ·

    Björn Deiseroth

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35. Exploiting Cultural Biases via Homoglyphs inText-to-Image Synthesis (Abstract Reprint)
    IJCAI 2024 ·

    Lukas Struppek

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36. Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models
    NeurIPS 2024 ·

    Dominik Hintersdorf

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37. Graph Neural Networks Need Cluster-Normalize-Activate Modules
    NeurIPS 2024 ·

    Arseny Skryagin

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38. Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
    NeurIPS 2024 ·

    Quentin Delfosse

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39. LEDITS++: Limitless Image Editing Using Text-to-Image Models
    CVPR 2024 ·

    Manuel Brack

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40. Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG
    ICLR 2024 ·

    Jonas Seng

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41. Learning to Intervene on Concept Bottlenecks
    ICML 2024 ·

    David Steinmann

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42. Mechanistic Design and Scaling of Hybrid Architectures
    ICML 2024 ·

    Michael Poli

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43. Neural Concept Binder
    NeurIPS 2024 ·

    Wolfgang Stammer

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44. Pix2Code: Learning to Compose Neural Visual Concepts as Programs
    UAI 2024 ·

    Antonia Wüst

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45. Representation Matters for Mastering Chess: Improved Feature Representation in AlphaZero Outperforms Switching to Transformers
    ECAI 2024 ·

    Johannes Czech

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46. T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings
    EMNLP 2024 ·

    Björn Deiseroth

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47. χSPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains
    UAI 2024 ·

    Harsh Poonia

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