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    Frontiers to the learning of nonparametric hidden Markov models

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

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

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

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

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

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

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

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

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    Modeling of Wastewater Treatment Processes with HydroSludge

    Published in ArXiv cs.CE Recent Papers (2026)
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  11. Cover Image

    Frontiers to the learning of nonparametric hidden Markov models

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  12. Cover Image

    Latent Process Models for Functional Network Data

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  13. Cover Image

    Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models

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    Deep Generative Models: Complexity, Dimensionality, and Approximation

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    Modeling Subjective Urban Perception with Human Gaze

    Published in ArXiv cs.HC Recent Papers (2026)
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    Uplift Model Evaluation with Ordinal Dominance Graphs

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    Memory-Efficient Continual Learning with CLIP Models

    Published in ArXiv cs.LG Recent Papers (2026)
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    Audio-Visual Intelligence in Large Foundation Models

    Published in ArXiv cs.CV Recent Papers (2026)
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    On the Wasserstein Gradient Flow Interpretation of Drifting Models

    Published in ArXiv cs.LG Recent Papers (2026)
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    Proximal Projection for Doubly Sparse Regularized Models

    Published in ArXiv cs.LG Recent Papers (2026)
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