21 citations · 22 across the 3 of their papers we have counts for
4 papers
AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks
S. K. Roy, M. E. Paoletti, J. M. Haut +4
Convolutional neural networks (CNNs) are trained using stochastic gradient descent (SGD)-based optimizers. Recently, the adaptive moment estimation (Adam) optimizer has become very…
Drawbacks and alternatives to the numerical calculation of the base inertial parameters expressions for low mobility mechanisms
Xabier Iriarte, Javier Ros, Aitor Plaza +2
Base inertial parameters constitute a minimal inertial parametrization of mechanical systems that is of interest, for example, in parameter estimation and model reduction. Numerica…
Symbolic Multibody Methods for Real-Time Simulation of Railway Vehicles
Javier Ros, Aitor Plaza, Xabier Iriarte +1
In this work, recently developed state-of-the-art symbolic multibody methods are tested to accurately model a complex railway vehicle. The model is generated using a symbolic imple…
Simplification of multibody models by parameter reduction
Javier Ros, Xabier Iriarte, Aitor Plaza +1
Model selection methods are used in different scientific contexts to represent a characteristic data set in terms of a reduced number of parameters. Apparently, these methods have…