Christian Ellis

According to our database1, Christian Ellis authored at least 17 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Linear-Quadratic Gaussian Games with Distributed Sparse Estimation.
CoRR, March, 2026

OVerSeeC: Open-Vocabulary Costmap Generation from Satellite Images and Natural Language.
CoRR, February, 2026

Efficiently Solving Mixed-Hierarchy Games with Quasi-Policy Approximations.
CoRR, February, 2026

A Multi-Fidelity Control Variate Approach for Policy Gradient Estimation.
Trans. Mach. Learn. Res., 2026

2025
BEV-Patch-PF: Particle Filtering with BEV-Aerial Feature Matching for Off-Road Geo-Localization.
CoRR, December, 2025

Zero to Autonomy in Real-Time: Online Adaptation of Dynamics in Unstructured Environments.
CoRR, September, 2025

Temporally Consistent Unsupervised Segmentation for Mobile Robot Perception.
CoRR, July, 2025

Foundation Models for Logistics: Toward Certifiable, Conversational Planning Interfaces.
CoRR, July, 2025

Spatiotemporal Contrastive Learning for Cross-View Video Localization in Unstructured Off-road Terrains.
CoRR, June, 2025

Online Adaptation of Terrain-Aware Dynamics for Planning in Unstructured Environments.
CoRR, June, 2025

PSN Game: Game-theoretic Planning via a Player Selection Network.
CoRR, May, 2025

Multi-Fidelity Policy Gradient Algorithms.
CoRR, March, 2025

GO: The Great Outdoors Multimodal Dataset.
CoRR, January, 2025

2024
A Multifidelity Sim-to-Real Pipeline for Verifiable and Compositional Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Task-guided IRL in POMDPs that scales.
Artif. Intell., April, 2023

2022
A Mapping of Assurance Techniques for Learning Enabled Autonomous Systems to the Systems Engineering Lifecycle.
Proceedings of the IEEE International Conference on Assured Autonomy, 2022

2021
Risk Averse Bayesian Reward Learning for Autonomous Navigation from Human Demonstration.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021


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