Papers that use a flavor of Machine Learning methods
Venecia Chávez Medina, F. S. Guzmán, J. A. González.
Location of sources in reaction-diffusion equations using support vector machines.
J. A. Gonzáles, F. S. Guzmán.
Classification of a black hole spin out of its shadow using support vector machines.
Phys. Rev. D 99, 103002 (2019). [arXiv:1901.07615]
J. A. Gonzáles, F. S. Guzmán.
Characterizing the velocity of a wandering black hole and properties of the surrounding medium using convolutional neural networks.
Phys. Rev. D 97, 063001 (2018). [arXiv:1803.06060]
M. Carrillo, M. Gracia-Linares, J. A Gonzáles, F S Guzmán
One parameter Binary Black Hole inverse problem using a sparse training set
Int. J. Mod. Phys. D 27, 1850043 (2018)
F. J. Rivera Paleo, C. E. López Núñez, F. S. Guzmán, J. A. González.
Classifying initial conditions of long GRBs modeled with relativistic radiation hydrodynamics.
Phys. Rev. D 95, 123005 (2017). [arXiv:1705.08995]
M. Carrillo, M. Gracia Linares, J. A. Gonzáles, F. S. Guzmán.
Parameter estimates in binary black hole collisions using neural networks.
Gen. Rel. Grav. 48, 141 (2016). [arXiv:1608.02491]