The Deep Additive Kernel (DAK) model incorporates an additive structure for the last-layer Gaussian Process and induced prior approximation for each Gaussian Process unit, resulting in a last-layer Bayesian neural network (BNN) architecture.

Authors

• Person: Samuel Tesfazgi, Leonhard Sprandl, Sandra Hirche Organization: AISTATS
  Track: Poster Session 3 - aistats 2026

Sources

• Track: Poster Session 3 - aistats 2026 virtual.aistats.org Samuel Tesfazgi, Leonhard Sprandl, Sandra Hirche · AISTATS via serper

Referenced by nodes (2)

• Gaussian Process concept
• Bayesian Neural Networks concept