Deep Homogeneous Mixture Models: Representation, Separation, and Approximation

Priyank Jaini, Pascal Poupart, Yaoliang Yu

Nov-20-2025, 19:56:09 GMT–Neural Information Processing Systems

"shallow" architectures, where the hidden constant may decrease (exponentially) with respect to the depth.

artificial intelligence, machine learning, node, (18 more...)

Neural Information Processing Systems

Nov-20-2025, 19:56:09 GMT

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Country:
- Asia > Middle East
  - Jordan (0.04)
- North America > Canada
  - Quebec > Montreal (0.04)

Genre:
- Research Report > New Finding (0.46)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning
    - Learning Graphical Models > Undirected Networks
      - Markov Models (0.69)
    - Neural Networks (0.68)
  - Representation & Reasoning (1.00)

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Deep Homogeneous Mixture Models: Representation, Separation, and Approximation
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