6 citations · 9 across the 9 of their papers we have counts for
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cs.LG2019
On the CVP for the root lattices via folding with deep ReLU neural networks
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat +1
Point lattices and their decoding via neural networks are considered in this paper. Lattice decoding in Rn, known as the closest vector problem (CVP), becomes a classification prob…
cs.LG2019★ 1 cited
A lattice-based approach to the expressivity of deep ReLU neural networks
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat +1
We present new families of continuous piecewise linear (CPWL) functions in Rn having a number of affine pieces growing exponentially in . We show that these functions can be see…