2 citations · 3 across the 3 of their papers we have counts for
4 papers
A Bayesian Inference Framework for Gamma-Ray Burst Afterglow Properties
En-Tzu Lin, Fergus Hayes, Gavin P. Lamb +5
In the field of multi-messenger astronomy, Bayesian inference is commonly adopted to compare the compatibility of models given the observed data. However, to describe a physical sy…
Inclination estimates from off-axis GRB afterglow modelling
Gavin P Lamb, Joseph J Fernández, Fergus Hayes +7
For gravitational wave (GW) detected neutron star mergers, one of the leading candidates for electromagnetic (EM) counterparts is the afterglow from an ultra-relativistic jet. Wher…
GENs: Generative Encoding Networks
Surojit Saha, Shireen Elhabian, Ross T. Whitaker
Mapping data from and/or onto a known family of distributions has become an important topic in machine learning and data analysis. Deep generative models (e.g., generative adversar…
Minimal Solvers for Mini-Loop Closures in 3D Multi-Scan Alignment
Pedro Miraldo, Surojit Saha, Srikumar Ramalingam
3D scan registration is a classical, yet a highly useful problem in the context of 3D sensors such as Kinect and Velodyne. While there are several existing methods, the techniques…