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  1. Extending Environments to Measure Self-reflection in Reinforcement Learning

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  2. Feature Reinforcement Learning: Part II. Structured MDPs

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  3. Creative Learning With Music and Mathematics: Reflections on Interdisciplinary Collaborations

    Published in The STEAM Journal (2023)
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  4. Sharp Bounds for Sequential Federated Learning on Heterogeneous Data

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  5. Enhancing Graph Representation Learning with Localized Topological Features

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  6. Can Language Models Learn Typologically Implausible Languages?

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  7. Linear Separation Capacity of Self-Supervised Representation Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  8. Learning with Linear Function Approximations in Mean-Field Control

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  9. Data-Driven Performance Guarantees for Classical and Learned Optimizers

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  10. Traffic flow prediction via dynamic hypergraph learning

    Published in PLOS ONE (2026)
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  11. Sharp Bounds for Sequential Federated Learning on Heterogeneous Data

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  12. Application of multimodal machine learning in building ecological assessment

    Published in Discover AI (2026)
    Subjects: “…— — — — — Access Artificial Intelligence and Machine Learning…”
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  13. Enhancing Graph Representation Learning with Localized Topological Features

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  14. Learning Models and Modalities to Build Data Equity Competencies

    Published in Harvard Data Science Review (2026)
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  15. Decoupling in AI ethics: Learning how to walk the talk

    Published in EMSE (2026)
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  16. Learning the bistable cortical dynamics of the sleep-onset period

    Published in PLoS Computational Biology (2026)
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  17. Mapping the Phase Diagram of the Vicsek Model with Machine Learning

    Published in ArXiv cs.LG Recent Papers (2026)
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  18. Linear Separation Capacity of Self-Supervised Representation Learning

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  19. Learning with Linear Function Approximations in Mean-Field Control

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  20. Learning Sparse BRDF Measurement Samples from Image

    Published in ArXiv cs.GR Recent Papers (2026)
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