2 papers
cs.LG2025
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.NE2024
Quantized Approximately Orthogonal Recurrent Neural Networks
Armand Foucault, Franck Mamalet, François Malgouyres
In recent years, Orthogonal Recurrent Neural Networks (ORNNs) have gained popularity due to their ability to manage tasks involving long-term dependencies, such as the copy-task, a…