366 citations · 699 across the 19 of their papers we have counts for
4 papers · 1 filter
A generic and fast C++ optimization framework
Ryan R. Curtin, Shikhar Bhardwaj, Marcus Edel +1
The development of the mlpack C++ machine learning library (http://www.mlpack.org/) has required the design and implementation of a flexible, robust optimization system that is abl…
Designing and building the mlpack open-source machine learning library
Ryan R. Curtin, Marcus Edel
mlpack is an open-source C++ machine learning library with an emphasis on speed and flexibility. Since its original inception in 2007, it has grown to be a large project implementi…
An Open Source C++ Implementation of Multi-Threaded Gaussian Mixture Models, k-Means and Expectation Maximisation
Conrad Sanderson, Ryan Curtin
Modelling of multivariate densities is a core component in many signal processing, pattern recognition and machine learning applications. The modelling is often done via Gaussian m…
Detecting Adversarial Samples from Artifacts
Reuben Feinman, Ryan R. Curtin, Saurabh Shintre +1
Deep neural networks (DNNs) are powerful nonlinear architectures that are known to be robust to random perturbations of the input. However, these models are vulnerable to adversari…