Search Results - model technology

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

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

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

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

    Published in JMLR (2026)
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  5. Automated brain tumor detection using advanced deep learning models

    Published in Discover AI (2026)
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  6. Scaling Capability in Token Space: An Analysis of Large Vision Language Model

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

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

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

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

    Published in JMLR (2026)
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    Online Article RSS Article
  11. Determine the Number of States in Hidden Markov Models via Marginal Likelihood

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

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

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

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

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

    Published in JMLR (2026)
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    Online Article RSS Article
  17. Determine the Number of States in Hidden Markov Models via Marginal Likelihood

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

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

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

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