350 citations · 670 across the 13 of their papers we have counts for
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cs.NE2014★ 350 cited
Learning Activation Functions to Improve Deep Neural Networks
Forest Agostinelli, Matthew Hoffman, Peter Sadowski +1
Artificial neural networks typically have a fixed, non-linear activation function at each neuron. We have designed a novel form of piecewise linear activation function that is lear…
hep-ph2014★ 104 cited
Enhanced Higgs to Searches with Deep Learning
Pierre Baldi, Peter Sadowski, Daniel Whiteson
The Higgs boson is thought to provide the interaction that imparts mass to the fundamental fermions, but while measurements at the Large Hadron Collider (LHC) are consistent with t…