22 citations · 59 across the 7 of their papers we have counts for
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cs.LG2020★ 4 cited
Perspective: A Phase Diagram for Deep Learning unifying Jamming, Feature Learning and Lazy Training
Mario Geiger, Leonardo Petrini, Matthieu Wyart
Deep learning algorithms are responsible for a technological revolution in a variety of tasks including image recognition or Go playing. Yet, why they work is not understood. Ultim…
cs.LG2020★ 22 cited
Geometric compression of invariant manifolds in neural nets
Jonas Paccolat, Leonardo Petrini, Mario Geiger +2
We study how neural networks compress uninformative input space in models where data lie in dimensions, but whose label only vary within a linear manifold of dimension $d_\para…