Moule Lin, Shuhao Guan, Weipeng Jing, Goetz Botterweck, and Andrea Patane reinterpret weight-sharing quantization techniques from a stochastic perspective by using 2D-adaptive Gaussian distributions, Wasserstein distance estimations, and alpha-blending to encode the stochastic behavior of a Bayesian Neural Network (BNN) in a lower-dimensional, soft Gaussian representation.

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