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    Scaling Capability in Token Space: An Analysis of Large Vision Language Model

    Published in JMLR (2026)
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    Model-free Change-Point Detection Using AUC of a Classifier

    Published in JMLR (2026)
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    BitNet: 1-bit Pre-training for Large Language Models

    Published in JMLR (2026)
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    On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls

    Published in JMLR (2026)
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    On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension

    Published in JMLR (2026)
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    Determine the Number of States in Hidden Markov Models via Marginal Likelihood

    Published in JMLR (2026)
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    Scaling Capability in Token Space: An Analysis of Large Vision Language Model

    Published in JMLR (2026)
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    Model-free Change-Point Detection Using AUC of a Classifier

    Published in JMLR (2026)
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    BitNet: 1-bit Pre-training for Large Language Models

    Published in JMLR (2026)
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  10. Cover Image

    On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls

    Published in JMLR (2026)
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    On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension

    Published in JMLR (2026)
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    Determine the Number of States in Hidden Markov Models via Marginal Likelihood

    Published in JMLR (2026)
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    Robustness and authorship bias of large language models in scientific abstracts scoring

    Published in Discover AI (2026)
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    A comparative study of survival metrics for aircraft turbofan engine using statistical and machine learning models

    Published in Arabian Journal of Mathematics (2026)
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    ReHeartNet: Reconstruct Electrocardiogram From Photoplethysmography by Using Dense Connected Deep Learning Model

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    Enhancing generalizability of model discovery across parameter space with multi-experiment equation learning for biological systems

    Published in PLoS Computational Biology (2026)
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    The role of EU cohesion funds in Romanian labour productivity: Insights from machine learning and econometric modelling

    Published in Management & Marketing (2025)
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    Comparative Evaluation of Deep Learning Models, Security Tools, and Detection Frameworks for SQL Injection Attack Detection

    Published in Computer and Information Science (2026)
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    ENHANCING SLEEP QUALITY PREDICTION THROUGH SMOTE-BASED DATA BALANCING AND HYBRID MACHINE LEARNING MODELS

    Published in Jurnal Riset Informatika (2025)
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    The Context-Adaptive Learning Model (CALM) Enhancing Adaptive English Teaching Competency for Preservice Teachers in Thailand

    Published in Higher Education Studies (2026)
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