The stochastic weight sharing approach for Bayesian Neural Networks (BNNs) significantly reduces computational overhead by several orders of magnitude, enabling efficient Bayesian training of large-scale models such as ResNet-101 and Vision Transformer (VIT).

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 (1)

• Bayesian Neural Networks concept