2 papers
cs.LG2025
Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks
Alper Kalle, Theo Rudkiewicz, Mohamed-Oumar Ouerfelli +1
Neural networks are widely used for image-related tasks but typically demand considerable computing power. Once a network has been trained, however, its memory- and compute-footpri…
hep-th2020
Field theoretical approach for signal detection in nearly continuous positive spectra II: Tensorial data
Vincent Lahoche, Mohamed Ouerfelli, Dine Ousmane Samary +1
The tensorial principal component analysis is a generalization of ordinary principal component analysis, focusing on data which are suitably described by tensors rather than matric…