Walsh-Hadamard Variational Inference for Bayesian Deep Learning

27 May 2019

Papers citing "Walsh-Hadamard Variational Inference for Bayesian Deep Learning"

4 / 4 papers shown

Title
Containing Analog Data Deluge at Edge through Frequency-Domain Compression in Collaborative Compute-in-Memory Networks Nastaran Darabi A. R. Trivedi 14 0 0 20 Sep 2023
Structured adaptive and random spinners for fast machine learning computations Mariusz Bojarski A. Choromańska K. Choromanski Francois Fagan Cédric Gouy-Pailler Anne Morvan Nourhan Sakr Tamás Sarlós Jamal Atif 25 35 0 19 Oct 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 197 745 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 249 9,134 0 06 Jun 2015