Mariah L. Schrum

17 papers A* 5Misc 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
Context Steering: Controllable Personalization at Inference Time.
ICLR
Jerry Zhi-Yang He, Sashrika Pandey, Mariah L. Schrum, Anca D. Dragan
2024 J jnl
CoS: Enhancing Personalization and Mitigating Bias with Context Steering.
CoRR
Jerry Zhi-Yang He, Sashrika Pandey, Mariah L. Schrum, Anca D. Dragan
2024 A* conf
Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation.
ICML
Michelle Pan, Mariah L. Schrum, Vivek Myers, Erdem Biyik, Anca D. Dragan
2024 — —
Data-driven personalization techniques to account for heterogeneity in human-machine interaction.
Mariah L. Schrum
2024 J jnl
MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving.
IEEE Trans. Robotics
Mariah L. Schrum, Emily Sumner, Matthew C. Gombolay, Andrew Best
2023 J jnl
MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving.
CoRR
Mariah L. Schrum, Emily Sumner, Matthew C. Gombolay, Andrew Best
2022 A* conf
MIND MELD: Personalized Meta-Learning for Robot-Centric Imitation Learning.
HRI
Mariah L. Schrum, Erin Hedlund-Botti, Nina Moorman, Matthew C. Gombolay
2022 A* conf
Personalized Meta-Learning for Domain Agnostic Learning from Demonstration.
HRI
Mariah L. Schrum, Erin Hedlund-Botti, Matthew C. Gombolay
2022 Misc conf
Reciprocal MIND MELD: Improving Learning From Demonstration via Personalized, Reciprocal Teaching.
CoRL
Mariah L. Schrum, Erin Hedlund-Botti, Matthew C. Gombolay
2021 J jnl
A Mosquito Pick-and-Place System for PfSPZ-Based Malaria Vaccine Production.
IEEE Trans Autom. Sci. Eng.
Henry Phalen, Prasad Vagdargi, Mariah L. Schrum, Sumana Chakravarty, Amanda Canezin, Michael Pozin, Suat Coemert, Iulian Iordachita, Stephen L. Hoffman, Gregory S. Chirikjian, Russell H. Taylor
2021 A* conf
Effects of Social Factors and Team Dynamics on Adoption of Collaborative Robot Autonomy.
HRI
Mariah L. Schrum, Glen Neville, Michael J. Johnson, Nina Moorman, Rohan R. Paleja, Karen M. Feigh, Matthew C. Gombolay
2021 J jnl
Improving Robot-Centric Learning from Demonstration via Personalized Embeddings.
CoRR
Mariah L. Schrum, Erin Hedlund, Matthew C. Gombolay
2020 J jnl
A Mosquito Pick-and-Place System for PfSPZ-based Malaria Vaccine Production.
CoRR
Henry Phalen, Prasad Vagdargi, Mariah L. Schrum, Sumana Chakravarty, Amanda Canezin, Michael Pozin, Suat Coemert, Iulian Iordachita, Stephen L. Hoffman, Gregory S. Chirikjian, Russell H. Taylor
2020 — conf
Four Years in Review: Statistical Practices of Likert Scales in Human-Robot Interaction Studies.
HRI (Companion)
Mariah L. Schrum, Michael J. Johnson, Muyleng Ghuy, Matthew C. Gombolay
2020 J jnl
Four Years in Review: Statistical Practices of Likert Scales in Human-Robot Interaction Studies.
CoRR
Mariah L. Schrum, Michael J. Johnson, Muyleng Ghuy, Matthew C. Gombolay
2020 J jnl
Meta-active Learning in Probabilistically-Safe Optimization.
CoRR
Mariah L. Schrum, Mark J. Connolly, Eric R. Cole, Mihir Ghetiya, Robert E. Gross, Matthew C. Gombolay
2020 J jnl
When Your Robot Breaks: Active Learning During Plant Failure.
IEEE Robotics Autom. Lett.
Mariah L. Schrum, Matthew C. Gombolay