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20172021
most citedDepth separation for reduced deep networks in nonlinear model reduction: Distilling shock waves in nonlinear hyperbolic problems

11 citations · 12 across the 4 of their papers we have counts for

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stat.ML2021

On the Sample Complexity of Learning under Invariance and Geometric Stability

Alberto Bietti, Luca Venturi, Joan Bruna

Many supervised learning problems involve high-dimensional data such as images, text, or graphs. In order to make efficient use of data, it is often useful to leverage certain geom…