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  1. Frontiers to the learning of nonparametric hidden Markov models

    Published in JMLR (2026)
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  2. A model text recycling policy for publishers

    Published in European Science Editing (2022)
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  3. Latent Process Models for Functional Network Data

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

    Published in JMLR (2026)
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  5. Deep Generative Models: Complexity, Dimensionality, and Approximation

    Published in JMLR (2026)
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  6. Uplift Model Evaluation with Ordinal Dominance Graphs

    Published in JMLR (2026)
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  7. The Applicability of Spolsky’s Tripartite Model in Three Contexts

    Published in Sustainable Multilingualism (2025)
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  8. A numerical model for duricrust formation by laterisation

    Published in Earth Surface Dynamics (ESurf) (2026)
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  9. Score-Based Diffusion Models in Function Space

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

    Published in JMLR (2026)
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  11. Fuzzy Networks for Modeling Shared Semantic Knowledge

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  12. Latent Process Models for Functional Network Data

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

    Published in JMLR (2026)
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  14. Deep Generative Models: Complexity, Dimensionality, and Approximation

    Published in JMLR (2026)
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  15. Uplift Model Evaluation with Ordinal Dominance Graphs

    Published in JMLR (2026)
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  16. Score-Based Diffusion Models in Function Space

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

    Published in JMLR (2026)
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  18. Latent Process Models for Functional Network Data

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

    Published in JMLR (2026)
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  20. Deep Generative Models: Complexity, Dimensionality, and Approximation

    Published in JMLR (2026)
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