6 citations · 35 across the 25 of their papers we have counts for
5 papers · 1 filter
Backprop Diffusion is Biologically Plausible
Alessandro Betti, Marco Gori
The Backpropagation algorithm relies on the abstraction of using a neural model that gets rid of the notion of time, since the input is mapped instantaneously to the output. In thi…
Learning Visual Features Under Motion Invariance
Alessandro Betti, Marco Gori, Stefano Melacci
Humans are continuously exposed to a stream of visual data with a natural temporal structure. However, most successful computer vision algorithms work at image level, completely di…
On the Role of Time in Learning
Alessandro Betti, Marco Gori
By and large the process of learning concepts that are embedded in time is regarded as quite a mature research topic. Hidden Markov models, recurrent neural networks are, amongst o…
Spatiotemporal Local Propagation
Alessandro Betti, Marco Gori
This paper proposes an in-depth re-thinking of neural computation that parallels apparently unrelated laws of physics, that are formulated in the variational framework of the least…
Least Action Principles and Well-Posed Learning Problems
Alessandro Betti, Marco Gori
Machine Learning algorithms are typically regarded as appropriate optimization schemes for minimizing risk functions that are constructed on the training set, which conveys statist…