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ORCIDRebecca L. Russell
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2020 – today
- 2024
[i17]Aastha Acharya, Caleb Lee, Marissa D'Alonzo, Jared Shamwell, Nisar R. Ahmed, Rebecca L. Russell:
Deep Modeling of Non-Gaussian Aleatoric Uncertainty. CoRR abs/2405.20513 (2024)- 2023
- [c6]Lena M. Downes, Ted J. Steiner, Rebecca L. Russell, Jonathan P. How:
Wide-Area Geolocalization with a Limited Field of View Camera. ICRA 2023: 10594-10600 - [c5]Aastha Acharya, Rebecca L. Russell, Nisar R. Ahmed:
Learning to Forecast Aleatoric and Epistemic Uncertainties over Long Horizon Trajectories. ICRA 2023: 12751-12757 - [d1]Lena M. Downes
, Ted J. Steiner, Rebecca L. Russell, Jonathan P. How:
Wide-Area Geolocalization with a Limited Field of View Camera in Challenging Urban Environments Dataset. Zenodo, 2023
- [i16]Aastha Acharya, Rebecca L. Russell, Nisar R. Ahmed:
Learning to Forecast Aleatoric and Epistemic Uncertainties over Long Horizon Trajectories. CoRR abs/2302.08669 (2023) - [i15]Evelyn Ruff, Rebecca L. Russell, Matthew Stoeckle, Piero Miotto, Jonathan P. How:
Surrogate Neural Networks for Efficient Simulation-based Trajectory Planning Optimization. CoRR abs/2303.17468 (2023) - [i14]Lena M. Downes, Ted J. Steiner, Rebecca L. Russell, Jonathan P. How:
Wide-Area Geolocalization with a Limited Field of View Camera in Challenging Urban Environments. CoRR abs/2308.07432 (2023) - 2022
- [j2]Rebecca L. Russell, Christopher P. Reale:
Multivariate Uncertainty in Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7937-7943 (2022) - [c4]Aastha Acharya, Rebecca L. Russell, Nisar R. Ahmed:
Competency Assessment for Autonomous Agents using Deep Generative Models. IROS 2022: 8211-8218 - [i13]Aastha Acharya, Rebecca L. Russell, Nisar R. Ahmed:
Competency Assessment for Autonomous Agents using Deep Generative Models. CoRR abs/2203.12670 (2022) - [i12]Aastha Acharya, Rebecca L. Russell, Nisar R. Ahmed:
Uncertainty Quantification for Competency Assessment of Autonomous Agents. CoRR abs/2206.10553 (2022) - [i11]Lena M. Downes, Ted J. Steiner, Rebecca L. Russell, Jonathan P. How:
Wide-Area Geolocalization with a Limited Field of View Camera. CoRR abs/2209.11854 (2022) - [i10]Christopher P. Reale, Rebecca L. Russell:
Learning and Understanding a Disentangled Feature Representation for Hidden Parameters in Reinforcement Learning. CoRR abs/2211.16315 (2022) - [i9]Marissa D'Alonzo, Rebecca L. Russell:
Symmetry Detection in Trajectory Data for More Meaningful Reinforcement Learning Representations. CoRR abs/2211.16381 (2022) - 2020
- [j1]Onur Ozdemir, Rebecca L. Russell, Andrew A. Berlin:
A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans. IEEE Trans. Medical Imaging 39(5): 1419-1429 (2020) - [i8]Aastha Acharya, Rebecca L. Russell, Nisar R. Ahmed:
Explaining Conditions for Reinforcement Learning Behaviors from Real and Imagined Data. CoRR abs/2011.09004 (2020)
2010 – 2019
- 2019
- [i7]Onur Ozdemir, Rebecca L. Russell, Andrew A. Berlin:
A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans. CoRR abs/1902.03233 (2019) - [i6]Rebecca L. Russell, Christopher P. Reale:
Multivariate Uncertainty in Deep Learning. CoRR abs/1910.14215 (2019) - 2018
- [c3]Rebecca L. Russell, Louis Y. Kim, Lei H. Hamilton, Tomo Lazovich, Jacob Harer, Onur Ozdemir, Paul M. Ellingwood, Marc W. McConley:
Automated Vulnerability Detection in Source Code Using Deep Representation Learning. ICMLA 2018: 757-762 - [c2]Jimmy Wu, Bolei Zhou, Rebecca L. Russell, Vincent Kee, Syler Wagner, Mitchell Hebert, Antonio Torralba, David M. S. Johnson:
Real-Time Object Pose Estimation with Pose Interpreter Networks. IROS 2018: 6798-6805 - [c1]Jacob Harer, Onur Ozdemir, Tomo Lazovich, Christopher P. Reale, Rebecca L. Russell, Louis Y. Kim, Peter Chin:
Learning to Repair Software Vulnerabilities with Generative Adversarial Networks. NeurIPS 2018: 7944-7954 - [i5]Jacob A. Harer, Louis Y. Kim, Rebecca L. Russell, Onur Ozdemir, Leonard R. Kosta, Akshay Rangamani, Lei H. Hamilton, Gabriel I. Centeno, Jonathan R. Key, Paul M. Ellingwood, Marc W. McConley, Jeffrey M. Opper, Peter Chin, Tomo Lazovich:
Automated software vulnerability detection with machine learning. CoRR abs/1803.04497 (2018) - [i4]Jacob Harer, Onur Ozdemir, Tomo Lazovich, Christopher P. Reale, Rebecca L. Russell, Louis Y. Kim, Peter Chin:
Learning to Repair Software Vulnerabilities with Generative Adversarial Networks. CoRR abs/1805.07475 (2018) - [i3]Rebecca L. Russell, Louis Y. Kim, Lei H. Hamilton, Tomo Lazovich, Jacob A. Harer, Onur Ozdemir, Paul M. Ellingwood, Marc W. McConley:
Automated Vulnerability Detection in Source Code Using Deep Representation Learning. CoRR abs/1807.04320 (2018) - [i2]Jimmy Wu, Bolei Zhou, Rebecca L. Russell, Vincent Kee, Syler Wagner, Mitchell Hebert, Antonio Torralba, David M. S. Johnson:
Real-Time Object Pose Estimation with Pose Interpreter Networks. CoRR abs/1808.01099 (2018) - 2017
- [i1]Jay Ming Wong, Syler Wagner, Richard Connor Lawson, Vincent Kee, Mitchell Hebert, Justin Rooney, Gian Luca Mariottini, Rebecca L. Russell, Abraham Schneider, Rahul Chipalkatty, David M. S. Johnson:
SegICP-DSR: Dense Semantic Scene Reconstruction and Registration. CoRR abs/1711.02216 (2017)
Coauthor Index
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