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    Spectral Model eXplainer: a chemically-grounded explainability framework for spectral-based machine learning models

    Published in ArXiv cs.LG Recent Papers (2026)
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    Label-free DNA-sensor modelling based on magnetic induction spectroscopy

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    PDE-constrained Gaussian process surrogate modeling with uncertain data locations

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    Magneto-thermally coupled field simulation of homogenized foil winding models

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    GenOM: ontology matching with description generation and large language models

    Published in World Wide Web (2026)
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    Cascaded Diffusion Models for High Fidelity Image Generation

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    Fast and Robust Rank Aggregation against Model Misspecification

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    Limit Order Book Event Stream Prediction with Diffusion Model

    Published in DSE (2026)
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    Leveraging large language models for document classification in the banking sector

    Published in JDSA (2026)
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    Mechanistic modelling of highly pathogenic avian influenza: A scoping review revealing critical gaps in cross-species transmission models

    Published in PLOS ONE (2026)
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    Mixture Experiments and their applications in welding flux design

    Published 2008
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    Score-Based Diffusion Models in Function Space

    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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    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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    Score-Based Diffusion Models in Function Space

    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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    Latent Process Models for Functional Network Data

    Published in JMLR (2026)
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