16 citations · 28 across the 7 of their papers we have counts for
4 papers · 1 filter
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network
Anh-Huy Phan, Konstantin Sobolev, Konstantin Sozykin +6
Most state of the art deep neural networks are overparameterized and exhibit a high computational cost. A straightforward approach to this problem is to replace convolutional kerne…
Graph Convolutional Neural Networks for analysis of EEG signals, BCI application
Mirfarid Musavian Ghazani, Anh Huy Phan
Decoding brain signals has gained many attention and has found much applications in recent years such as Brain Computer Interfaces, communicating with controlling external devices…
CNN Acceleration by Low-rank Approximation with Quantized Factors
Nikolay Kozyrskiy, Anh-Huy Phan
The modern convolutional neural networks although achieve great results in solving complex computer vision tasks still cannot be effectively used in mobile and embedded devices due…
Deep convolutional tensor network
Philip Blagoveschensky, Anh Huy Phan
Neural networks have achieved state of the art results in many areas, supposedly due to parameter sharing, locality, and depth. Tensor networks (TNs) are linear algebraic represent…