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    Agent-based adaptive e-learning model for any learning management system

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    Frontiers to the learning of nonparametric hidden Markov models

    Published in JMLR (2026)
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    Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models

    Published in JMLR (2026)
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    Frontiers to the learning of nonparametric hidden Markov models

    Published in JMLR (2026)
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    Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models

    Published in JMLR (2026)
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    Frontiers to the learning of nonparametric hidden Markov models

    Published in JMLR (2026)
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    Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models

    Published in JMLR (2026)
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    Frontiers to the learning of nonparametric hidden Markov models

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    Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models

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    Memory-Efficient Continual Learning with CLIP Models

    Published in ArXiv cs.LG Recent Papers (2026)
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    Model Averaging Is Asymptotically Better Than Model Selection For Prediction

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    Quantifying the Impact of Data Quality on Deep Learning Models

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    Reinforcement Learning-Based Symbolic Regression for Load Modeling

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    Federated Split Learning for Large Language Models With RSMA

    Published in IET Communications (2026)
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    Can Language Models Learn Typologically Implausible Languages?

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    Learning Models and Modalities to Build Data Equity Competencies

    Published in Harvard Data Science Review (2026)
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    Mapping the Phase Diagram of the Vicsek Model with Machine Learning

    Published in ArXiv cs.LG Recent Papers (2026)
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    Rethinking Agentic Reinforcement Learning In Large Language Models

    Published in ArXiv cs.ET Recent Papers (2026)
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    Personal Visual Context Learning in Large Multimodal Models

    Published in ArXiv cs.CV Recent Papers (2026)
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    Machine-Learning-Empowered Propagation Measurement and Modeling for an Amphitheater

    Published in IEEE Access (2026)
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