Explaining Deep Learning Models -- A Bayesian Non-parametric Approach

Wenbo Guo, Sui Huang, Yunzhe Tao, Xinyu Xing, Lin Lin

Nov-20-2025, 16:13:49 GMT–Neural Information Processing Systems

Using the enhanced mixture model, we can extract generalizable insights for a target model through a global approximation.

artificial intelligence, explanation, machine learning, (20 more...)

Neural Information Processing Systems

Nov-20-2025, 16:13:49 GMT

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Country:
- North America
  - Canada > Quebec
    - Montreal (0.04)
  - United States > Pennsylvania (0.04)

Genre:
- Research Report > New Finding (0.46)

Technology:
- Information Technology > Artificial Intelligence > Machine Learning
  - Learning Graphical Models > Directed Networks
    - Bayesian Learning (0.46)
  - Neural Networks > Deep Learning (1.00)
  - Statistical Learning (1.00)

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Explaining Deep Learning Models -- A Bayesian Non-parametric Approach
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