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Christian Ellis
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2020 – today
- 2025
[i13]Peng Jiang, Kasi Viswanath, Akhil Nagariya, George Chustz, Maggie B. Wigness, Philip R. Osteen, Timothy Overbye, Christian Ellis, Long Quang, Srikanth Saripalli:
GO: The Great Outdoors Multimodal Dataset. CoRR abs/2501.19274 (2025)
[i12]Xinjie Liu, Cyrus Neary, Kushagra Gupta, Christian Ellis, Ufuk Topcu, David Fridovich-Keil:
Multi-Fidelity Policy Gradient Algorithms. CoRR abs/2503.05696 (2025)
[i11]Tianyu Qiu, Eric Ouano, Fernando Palafox, Christian Ellis, David Fridovich-Keil:
PSN Game: Game-theoretic Planning via a Player Selection Network. CoRR abs/2505.00213 (2025)
[i10]William Ward, Sarah Etter, Tyler Ingebrand, Christian Ellis, Adam J. Thorpe, Ufuk Topcu:
Online Adaptation of Terrain-Aware Dynamics for Planning in Unstructured Environments. CoRR abs/2506.04484 (2025)
[i9]Zhiyun Deng, Dongmyeong Lee, Amanda Adkins, Jesse Quattrociocchi, Christian Ellis, Joydeep Biswas:
Spatiotemporal Contrastive Learning for Cross-View Video Localization in Unstructured Off-road Terrains. CoRR abs/2506.05250 (2025)
[i8]Yunhao Yang, Neel P. Bhatt, Christian Ellis, Alvaro Velasquez, Zhangyang Wang, Ufuk Topcu:
Foundation Models for Logistics: Toward Certifiable, Conversational Planning Interfaces. CoRR abs/2507.11352 (2025)
[i7]Christian Ellis, Maggie B. Wigness, Craig Lennon, Lance Fiondella:
Temporally Consistent Unsupervised Segmentation for Mobile Robot Perception. CoRR abs/2507.22194 (2025)
[i6]William Ward, Sarah Etter, Jesse Quattrociocchi, Christian Ellis, Adam J. Thorpe, Ufuk Topcu:
Zero to Autonomy in Real-Time: Online Adaptation of Dynamics in Unstructured Environments. CoRR abs/2509.12516 (2025)
[i5]Dongmyeong Lee, Jesse Quattrociocchi, Christian Ellis, Rwik Rana, Amanda Adkins, Adam Uccello, Garrett Warnell, Joydeep Biswas:
BEV-Patch-PF: Particle Filtering with BEV-Aerial Feature Matching for Off-Road Geo-Localization. CoRR abs/2512.15111 (2025)- 2024
[c3]Cyrus Neary, Christian Ellis, Aryaman Singh Samyal, Craig Lennon, Ufuk Topcu:
A Multifidelity Sim-to-Real Pipeline for Verifiable and Compositional Reinforcement Learning. ICRA 2024: 4349-4355- 2023
[j1]Franck Djeumou
, Christian Ellis, Murat Cubuktepe, Craig Lennon, Ufuk Topcu:
Task-guided IRL in POMDPs that scales. Artif. Intell. 317: 103856 (2023)
[i4]Christian Ellis, Maggie B. Wigness, Lance Fiondella:
A Mapping of Assurance Techniques for Learning Enabled Autonomous Systems to the Systems Engineering Lifecycle. CoRR abs/2301.00057 (2023)
[i3]Franck Djeumou, Christian Ellis, Murat Cubuktepe, Craig Lennon, Ufuk Topcu:
Task-Guided IRL in POMDPs that Scales. CoRR abs/2301.01219 (2023)
[i2]Cyrus Neary, Christian Ellis, Aryaman Singh Samyal, Craig Lennon, Ufuk Topcu:
A Multifidelity Sim-to-Real Pipeline for Verifiable and Compositional Reinforcement Learning. CoRR abs/2312.01249 (2023)- 2022
[c2]Christian Ellis, Maggie B. Wigness, Lance Fiondella:
A Mapping of Assurance Techniques for Learning Enabled Autonomous Systems to the Systems Engineering Lifecycle. ICAA 2022: 28-35- 2021
[c1]Christian Ellis, Maggie B. Wigness, John G. Rogers, Craig Lennon, Lance Fiondella:
Risk Averse Bayesian Reward Learning for Autonomous Navigation from Human Demonstration. IROS 2021: 8928-8935
[i1]Christian Ellis, Maggie B. Wigness, John G. Rogers III, Craig Lennon, Lance Fiondella:
Risk Averse Bayesian Reward Learning for Autonomous Navigation from Human Demonstration. CoRR abs/2108.00276 (2021)
Coauthor Index

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