output
20112018
most citedTowards Principled Design of Deep Convolutional Networks: Introducing SimpNet

21 citations

7 papers

cs.CV2018★ 21 cited

Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet

Seyyed Hossein Hasanpour, Mohammad Rouhani, Mohsen Fayyaz +2

Major winning Convolutional Neural Networks (CNNs), such as VGGNet, ResNet, DenseNet, \etc, include tens to hundreds of millions of parameters, which impose considerable computatio…

gr-qc2014★ 9 cited

Non-minimally Coupled Tachyon Field in Teleparallel Gravity

Behnaz Fazlpour, Ali Banijamali

We perform a full investigation on dynamics of a new dark energy model in which the four-derivative of a non-canonical scalar field (tachyon) is non-minimally coupled to the vector…

hep-ph2014★ 6 cited

Higgs production in collisions as a probe of noncommutativity

M. Ghasemkhani, R. Goldouzian, H. Khanpour +2

We examine the sensitivity of the angular distribution of the Higgs boson in the process of and the total cross section in the minimal noncommutative standard model…

math.DG2014★ 2 cited

The Geometry of Fourth Order Differential Operator

Rohollah Bakhshandeh-Chamazkoti

In present paper, the equivalence problem for fourth order differential operators with one variable under general fiber-preserving transformation using the Cartan method of equival…

cs.NE2013

An introduction to synchronous self-learning Pareto strategy

Ahmad Mozaffari, Alireza Fathi

In last decades optimization and control of complex systems that possessed various conflicted objectives simultaneously attracted an incremental interest of scientists. This is bec…

cs.NE2013★ 1 cited

A natural-inspired optimization machine based on the annual migration of salmons in nature

Ahmad Mozaffari, Alireza Fathi

Bio inspiration is a branch of artificial simulation science that shows pervasive contributions to variety of engineering fields such as automate pattern recognition, systematic fa…