Search Results - learning model

  1. Fine-Grained Change Point Detection for Topic Modeling with Pitman-Yor Process

    Published in JMLR (2026)
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  2. Wasserstein Convergence Guarantees for a General Class of Score-Based Generative Models

    Published in JMLR (2026)
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  3. Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data

    Published in JMLR (2026)
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  4. Identifiability of Causal Graphs under Non-Additive Conditionally Parametric Causal Models

    Published in JMLR (2026)
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  5. Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees

    Published in JMLR (2026)
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  6. Fine-Grained Change Point Detection for Topic Modeling with Pitman-Yor Process

    Published in JMLR (2026)
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  7. Wasserstein Convergence Guarantees for a General Class of Score-Based Generative Models

    Published in JMLR (2026)
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  8. Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data

    Published in JMLR (2026)
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  9. Identifiability of Causal Graphs under Non-Additive Conditionally Parametric Causal Models

    Published in JMLR (2026)
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  10. Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees

    Published in JMLR (2026)
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  11. Fine-Grained Change Point Detection for Topic Modeling with Pitman-Yor Process

    Published in JMLR (2026)
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  12. Wasserstein Convergence Guarantees for a General Class of Score-Based Generative Models

    Published in JMLR (2026)
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  13. Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data

    Published in JMLR (2026)
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  14. Using AI large language models to assess dental history in systemic conditions

    Published in Discover AI (2026)
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  15. Generative AI Shanshui animation enhancement using Perlin noise and diffusion models

    Published in Discover AI (2026)
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  16. Modeling of an English speaking scoring system integrating natural language processing techniques

    Published in Discover AI (2026)
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  17. Large language models for clinical artificial intelligence in healthcare a systematic review

    Published in Discover AI (2026)
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  18. Hybrid stacking of Squeeze Net features and ML models for accurate Alzheimer’s diagnosis

    Published in Discover AI (2026)
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  19. Detecting Generative Model Inversion Attacks for Protecting Intellectual Property of Deep Neural Networks

    Published in JAIR (2025)
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  20. Generalized multi-view model: Adaptive density estimation under low-rank constraints

    Published in JMLR (2026)
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