45 citations · 88 across the 3 of their papers we have counts for
4 papers
Learning and Understanding a Disentangled Feature Representation for Hidden Parameters in Reinforcement Learning
Christopher Reale, Rebecca Russell
Hidden parameters are latent variables in reinforcement learning (RL) environments that are constant over the course of a trajectory. Understanding what, if any, hidden parameters…
Multivariate Uncertainty in Deep Learning
Rebecca L. Russell, Christopher Reale
Deep learning has the potential to dramatically impact navigation and tracking state estimation problems critical to autonomous vehicles and robotics. Measurement uncertainties in…
Tree-Transformer: A Transformer-Based Method for Correction of Tree-Structured Data
Jacob Harer, Chris Reale, Peter Chin
Many common sequential data sources, such as source code and natural language, have a natural tree-structured representation. These trees can be generated by fitting a sequence to…
Learning to Repair Software Vulnerabilities with Generative Adversarial Networks
Jacob Harer, Onur Ozdemir, Tomo Lazovich +4
Motivated by the problem of automated repair of software vulnerabilities, we propose an adversarial learning approach that maps from one discrete source domain to another target do…