2 papers
q-bio.NC2021
Order symmetry breaking and broad distribution of events in spiking neural networks with continuous membrane potential
Marco Stucchi, Fabrizio Pittorino, Matteo di Volo +2
We introduce an exactly integrable version of the well-known leaky integrate-and-fire (LIF) model, with continuous membrane potential at the spiking event, the c-LIF. We investigat…
cs.LG2019
Shaping the learning landscape in neural networks around wide flat minima
Carlo Baldassi, Fabrizio Pittorino, Riccardo Zecchina
Learning in Deep Neural Networks (DNN) takes place by minimizing a non-convex high-dimensional loss function, typically by a stochastic gradient descent (SGD) strategy. The learnin…