Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders

Emile Mathieu, Charline Le Lan, Chris J. Maddison, Ryota Tomioka, Yee Whye Teh

Feb-11-2026, 11:37:01 GMT–Neural Information Processing Systems

Many real datasets are hierarchically structured.

artificial intelligence, machine learning, representation, (16 more...)

Neural Information Processing Systems

Feb-11-2026, 11:37:01 GMT

Conferences PDF

Country:
- Asia
  - Japan > Honshū
    - Chūbu > Nagano Prefecture > Nagano (0.05)
  - Middle East > Jordan (0.04)
- Europe
  - Sweden > Stockholm
    - Stockholm (0.04)
  - United Kingdom > England
    - Cambridgeshire > Cambridge (0.14)
    - Greater London > London (0.04)
    - Oxfordshire > Oxford (0.14)
- North America
  - Canada (0.04)
  - United States (0.14)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning
    - Learning Graphical Models > Directed Networks
      - Bayesian Learning (0.46)
    - Neural Networks > Deep Learning (0.93)
    - Statistical Learning (1.00)
  - Representation & Reasoning > Uncertainty (1.00)

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Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders

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