10 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
Accelerating Convolutional Neural Network Pruning via Spatial Aura Entropy
Bogdan Musat, Razvan Andonie
In recent years, pruning has emerged as a popular technique to reduce the computational complexity and memory footprint of Convolutional Neural Network (CNN) models. Mutual Informa…
cs.LG2023
Pruning Convolutional Filters via Reinforcement Learning with Entropy Minimization
Bogdan Musat, Razvan Andonie
Structural pruning has become an integral part of neural network optimization, used to achieve architectural configurations which can be deployed and run more efficiently on embedd…
cs.LG2021★ 10 cited
Semiotic Aggregation in Deep Learning
Bogdan Musat, Razvan Andonie
Convolutional neural networks utilize a hierarchy of neural network layers. The statistical aspects of information concentration in successive layers can bring an insight into the…