Learning and Inference in Hilbert Space with Quantum Graphical Models

Siddarth Srinivasan, Carlton Downey, Byron Boots

Nov-16-2025, 12:58:03 GMT–Neural Information Processing Systems

Unlike classical graphical models, QGMs represent uncertainty with density matrices in complex Hilbert spaces.

artificial intelligence, hilbert space, machine learning, (17 more...)

Neural Information Processing Systems

Nov-16-2025, 12:58:03 GMT

Conferences PDF

Country:
- North America
  - Canada > Quebec
    - Montreal (0.04)
  - United States
    - Georgia > Fulton County
      - Atlanta (0.04)
    - Pennsylvania > Allegheny County
      - Pittsburgh (0.04)

Genre:
- Research Report (0.93)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning
    - Learning Graphical Models > Directed Networks
      - Bayesian Learning (0.50)
    - Neural Networks (0.71)
  - Representation & Reasoning > Uncertainty
    - Bayesian Inference (0.71)

Duplicate Docs Excel Report

Title
Learning and Inference in Hilbert Space with Quantum Graphical Models
Learning and Inference in Hilbert Space with Quantum Graphical Models

Similar Docs Excel Report more

Title	Similarity	Source
None found