6 citations · 6 across the 2 of their papers we have counts for
3 papers
Semi-supervised learning with Bayesian Confidence Propagation Neural Network
Naresh Balaji Ravichandran, Anders Lansner, Pawel Herman
Learning internal representations from data using no or few labels is useful for machine learning research, as it allows using massive amounts of unlabeled data. In this work, we u…
StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs
Artur Podobas, Martin Svedin, Steven W. D. Chien +5
The modern deep learning method based on backpropagation has surged in popularity and has been used in multiple domains and application areas. At the same time, there are other --…
Brain-like approaches to unsupervised learning of hidden representations -- a comparative study
Naresh Balaji Ravichandran, Anders Lansner, Pawel Herman
Unsupervised learning of hidden representations has been one of the most vibrant research directions in machine learning in recent years. In this work we study the brain-like Bayes…