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  1. Latent Process Models for Functional Network Data

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

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

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

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

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

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

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

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

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

    Published in JMLR (2026)
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  11. scarlet2: Astronomical scene modeling in JAX

    Published in Journal of Open Source Software (2026)
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  12. Strategies for computational efficiency in small language models

    Published in Autonomous Intelligent Systems (2026)
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  13. Geometry-Calibrated Conformal Abstention for Language Models

    Published in ArXiv cs.CL Recent Papers (2026)
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  14. Score-Based Diffusion Models in Function Space

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  15. Modeling of Wastewater Treatment Processes with HydroSludge

    Published in ArXiv cs.CE Recent Papers (2026)
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  16. Frontiers to the learning of nonparametric hidden Markov models

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  17. Latent Process Models for Functional Network Data

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  18. Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models

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  19. Deep Generative Models: Complexity, Dimensionality, and Approximation

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  20. Modeling Subjective Urban Perception with Human Gaze

    Published in ArXiv cs.HC Recent Papers (2026)
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