6 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.LG2015
Gradual Training Method for Denoising Auto Encoders
Alexander Kalmanovich, Gal Chechik
Stacked denoising auto encoders (DAEs) are well known to learn useful deep representations, which can be used to improve supervised training by initializing a deep network. We inve…
cs.LG2014★ 2 cited
Gradual training of deep denoising auto encoders
Alexander Kalmanovich, Gal Chechik
Stacked denoising auto encoders (DAEs) are well known to learn useful deep representations, which can be used to improve supervised training by initializing a deep network. We inve…
q-bio.NC2013★ 6 cited
Sudden synchrony leaps accompanied by frequency multiplications in neuronal activity
Roni Vardi, Amir Goldental, Shoshana Guberman +3
A classical view of neural coding relies on temporal firing synchrony among functional groups of neurons; however the underlying mechanism remains an enigma. Here we experimentally…