Multi-level Data Representation For Training Deep Helmholtz Machines

26 October 2022

Papers citing "Multi-level Data Representation For Training Deep Helmholtz Machines"

7 / 7 papers shown

Title
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models Ahmed Alaa B. V. Breugel Evgeny S. Saveliev M. Schaar 85 193 0 17 Feb 2021
Learning representations in Bayesian Confidence Propagation neural networks Naresh B. Ravichandran A. Lansner Pawel Herman BDL SSL 31 14 0 27 Mar 2020
Biologically plausible deep learning -- but how far can we go with shallow networks? Bernd Illing W. Gerstner Johanni Brea 62 95 0 27 Feb 2019
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures Sergey Bartunov Adam Santoro Blake A. Richards Luke Marris Geoffrey E. Hinton Timothy Lillicrap 82 243 0 12 Jul 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 252 8,856 0 25 Aug 2017
Towards Biologically Plausible Deep Learning Yoshua Bengio Dong-Hyun Lee J. Bornschein Thomas Mesnard Zhouhan Lin DRL OOD 62 349 0 14 Feb 2015
Multi-column Deep Neural Networks for Image Classification D. Ciresan U. Meier Jürgen Schmidhuber 147 3,938 0 13 Feb 2012