Rebecca L. Russell

Multivariate Uncertainty in Deep Learning

Christopher P. Reale, Rebecca L. Russell, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Uncertainty Quantification for Competency Assessment of Autonomous Agents

Rebecca L. Russell, nisar. ahmed, Aastha Acharya, 2022, ArXiv.

Learning and Understanding a Disentangled Feature Representation for Hidden Parameters in Reinforcement Learning

Christopher P. Reale, Rebecca L. Russell, Christopher Reale, 2022, ArXiv.

Explaining Conditions for Reinforcement Learning Behaviors from Real and Imagined Data pdf

Nisar R. Ahmed, Aastha Acharya, Rebecca Russell, 2020, ArXiv.

Learning to Forecast Aleatoric and Epistemic Uncertainties over Long Horizon Trajectories

Rebecca L. Russell, Aastha Acharya, Nisar Ahmed, 2023, 2023 IEEE International Conference on Robotics and Automation (ICRA).

Surrogate Neural Networks for Efficient Simulation-based Trajectory Planning Optimization

Rebecca L. Russell, J. How, Matthew Stoeckle, 2023, arXiv.org.

Wide-Area Geolocalization with a Limited Field of View Camera

Lena M. Downes, Rebecca L. Russell, J. How, 2022, 2023 IEEE International Conference on Robotics and Automation (ICRA).

Competency Assessment for Autonomous Agents using Deep Generative Models

Rebecca L. Russell, nisar. ahmed, Aastha Acharya, 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Real-Time Object Pose Estimation with Pose Interpreter Networks

Bolei Zhou, Antonio Torralba, Jimmy Wu, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).