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

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

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

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

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

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

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

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  8. Model-free Change-Point Detection Using AUC of a Classifier

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  9. BitNet: 1-bit Pre-training for Large Language Models

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

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  11. On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension

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  12. Determine the Number of States in Hidden Markov Models via Marginal Likelihood

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  13. Using Splitter Ordering Heuristics to Improve Bisimulation in Probabilistic Model Checking

    Published in Computer Science (2025)
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  14. A Fully Abstract Model of PCF Based on Extended Addressing Machines

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  15. Parameterized Model-checking of Discrete-Timed Networks and Symmetric-Broadcast Systems

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  16. Advanced Model Consistency Restoration with Higher-Order Short-Cut Rules

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  17. A Formal Model for Polarization under Confirmation Bias in Social Networks

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  18. Quantum Control in the Unitary Sphere: Lambda-S1 and its Categorical Model

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  19. Trakhtenbrot's Theorem in Coq: Finite Model Theory through the Constructive Lens

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  20. Satisfiability and Model Checking for the Logic of Sub-Intervals under the Homogeneity Assumption

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