| 2025 | ICLR | Context Steering: Controllable Personalization at Inference Time. | Jerry Zhi-Yang He, Sashrika Pandey, Mariah L. Schrum, Anca D. Dragan |
| 2024 | ICML | Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation. | Michelle Pan, Mariah L. Schrum, Vivek Myers, Erdem Biyik, Anca D. Dragan |
| 2022 | CoRL | Reciprocal MIND MELD: Improving Learning From Demonstration via Personalized, Reciprocal Teaching. | Mariah L. Schrum, Erin Hedlund-Botti, Matthew C. Gombolay |
| 2022 | HRI | Personalized Meta-Learning for Domain Agnostic Learning from Demonstration. | Mariah L. Schrum, Erin Hedlund-Botti, Matthew C. Gombolay |
| 2022 | HRI | MIND MELD: Personalized Meta-Learning for Robot-Centric Imitation Learning. | Mariah L. Schrum, Erin Hedlund-Botti, Nina Moorman, Matthew C. Gombolay |
| 2021 | HRI | Effects of Social Factors and Team Dynamics on Adoption of Collaborative Robot Autonomy. | Mariah L. Schrum, Glen Neville, Michael J. Johnson, Nina Moorman, Rohan R. Paleja, Karen M. Feigh, Matthew C. Gombolay |
| 2020 | HRI | Four Years in Review: Statistical Practices of Likert Scales in Human-Robot Interaction Studies. | Mariah L. Schrum, Michael J. Johnson, Muyleng Ghuy, Matthew C. Gombolay |