1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2025★ 1 cited
HadamRNN: Binary and Sparse Ternary Orthogonal RNNs
Armand Foucault, Franck Mamalet, François Malgouyres
Binary and sparse ternary weights in neural networks enable faster computations and lighter representations, facilitating their use on edge devices with limited computational power…
cs.LG2021★ 1 cited
Overestimation learning with guarantees
Adrien Gauffriau, François Malgouyres, Mélanie Ducoffe
We describe a complete method that learns a neural network which is guaranteed to overestimate a reference function on a given domain. The neural network can then be used as a surr…