Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient

Oct-10-2025, 21:17:32 GMT–Neural Information Processing Systems

When the activation function of a network is analytic (e.g., sigmoid

acceptance rate, artificial intelligence, machine learning, (17 more...)

Neural Information Processing Systems

Oct-10-2025, 21:17:32 GMT

Conferences PDF

Country:
- Europe > United Kingdom
  - England > Cambridgeshire > Cambridge (0.04)
- North America > Canada
  - Ontario > Toronto (0.14)

Genre:
- Research Report > New Finding (0.46)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning > Neural Networks (1.00)
  - Representation & Reasoning (1.00)

Duplicate Docs Excel Report

Title
Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient

Similar Docs Excel Report more

Title	Similarity	Source
None found