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  1. Learning and decision-making in artificial animals

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  2. Categorical Semantics of Compositional Reinforcement Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  3. Learning conditional distributions on continuous spaces

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  4. Optimizing Data Collection for Machine Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  5. An Augmentation Overlap Theory of Contrastive Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  6. Geometry and Stability of Supervised Learning Problems

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  7. Reinforcement Learning for Infinite-Dimensional Systems

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  8. Categorical Semantics of Compositional Reinforcement Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  9. Learning conditional distributions on continuous spaces

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  10. Optimizing Data Collection for Machine Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  11. An Augmentation Overlap Theory of Contrastive Learning

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  12. Geometry and Stability of Supervised Learning Problems

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  13. Reinforcement Learning for Infinite-Dimensional Systems

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  14. Learning to Think from Multiple Thinkers

    Published in ArXiv cs.CC Recent Papers (2026)
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  15. Categorical Semantics of Compositional Reinforcement Learning

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  16. Possibilistic Predictive Uncertainty for Deep Learning

    Published in ArXiv cs.AI Recent Papers (2026)
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  17. Learning conditional distributions on continuous spaces

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  18. Exact and Approximate Algorithms for Polytree Learning

    Published in ArXiv cs.DS Recent Papers (2026)
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  19. Optimizing Data Collection for Machine Learning

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  20. Interpreting Reinforcement Learning Agents with Susceptibilities

    Published in ArXiv cs.LG Recent Papers (2026)
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