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  1. Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  2. Automated brain tumor detection using advanced deep learning models

    Published in Discover AI (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  3. Mapping the landscape of deep learning in software testing: a bibliometric analysis

    Published in Discover AI (2025)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  4. A Unified Framework to Enforce, Discover, and Promote Symmetry in Machine Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  5. Interpretable feature incorporation machine-learning framework for flood magnitude estimation

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  6. Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  7. A Hybrid Weighted Nearest Neighbour Classifier for Semi-Supervised Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  8. Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  9. Controlling Dynamical Systems Into Unseen Target States Using Machine Learning

    Published in Advanced Intelligent Systems (2026)
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  10. Machine Learning‐Driven Variability Analysis of Process Parameters for Semiconductor Manufacturing

    Published in Advanced Intelligent Systems (2026)
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  11. A Survey for Deep Reinforcement Learning Based Network Intrusion Detection

    Published in Applied AI Letters (2026)
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  12. System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  13. Generating Compressed Counterfactual Hard Negative Samples for Graph Contrastive Learning

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  14. Review on enhancing clinical decision support system using machine learning

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  15. Sample Complexity of the Linear Quadratic Regulator: A Reinforcement Learning Lens

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  16. The Archimedean trap: Why traditional reinforcement learning will probably not yield AGI

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  17. Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  18. A Unified Framework to Enforce, Discover, and Promote Symmetry in Machine Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  19. Correction to: Spatiotemporal predictions of toxic urban plumes using deep learning

    Published in PNAS Nexus (2026)
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  20. Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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