Patch-Based Discrete Registration of Clinical Brain Images. - Adrian V. Dalca; Andreea Bobu; Natalia S. Rost; Polina Golland (Patch-MI@MICCAI, 2016)

Learning under Misspecified Objective Spaces. - Andreea Bobu; Andrea Bajcsy; Jaime F. Fisac; Anca D. Dragan (CoRL, 2018)

Adapting to Continuously Shifting Domains. - Andreea Bobu; Eric Tzeng; Judy Hoffman; Trevor Darrell (ICLR (Workshop), 2018)

Detecting Hypothesis Space Misspecification in Robot Learning from Human Input. - Andreea Bobu (HRI (Companion), 2020)

LESS is More: Rethinking Probabilistic Models of Human Behavior. - Andreea Bobu; Dexter R. R. Scobee; Jaime F. Fisac; S. Shankar Sastry; Anca D. Dragan (HRI, 2020)

Quantifying Hypothesis Space Misspecification in Learning From Human-Robot Demonstrations and Physical Corrections. - Andreea Bobu; Andrea Bajcsy; Jaime F. Fisac; Sampada Deglurkar; Anca D. Dragan (IEEE Trans. Robotics, 2020)

Feature Expansive Reward Learning: Rethinking Human Input. - Andreea Bobu; Marius Wiggert; Claire J. Tomlin; Anca D. Dragan (HRI, 2021)

Dynamically Switching Human Prediction Models for Efficient Planning. - Arjun Sripathy; Andreea Bobu; Daniel S. Brown; Anca D. Dragan (ICRA, 2021)

Situational Confidence Assistance for Lifelong Shared Autonomy. - Matthew Zurek; Andreea Bobu; Daniel S. Brown; Anca D. Dragan (ICRA, 2021)

Teaching Robots to Span the Space of Functional Expressive Motion. - Arjun Sripathy; Andreea Bobu; Zhongyu Li 003; Koushil Sreenath; Daniel S. Brown; Anca D. Dragan (IROS, 2022)

Aligning Robot Representations with Humans. - Andreea Bobu; Andi Peng (CoRR, 2022)

Time-Efficient Reward Learning via Visually Assisted Cluster Ranking. - David Zhang; Micah Carroll; Andreea Bobu; Anca D. Dragan (CoRR, 2022)

Inducing structure in reward learning by learning features. - Andreea Bobu; Marius Wiggert; Claire J. Tomlin; Anca D. Dragan (Int. J. Robotics Res., 2022)

Learning Perceptual Concepts by Bootstrapping From Human Queries. - Andreea Bobu; Chris Paxton 001; Wei Yang 019; Balakumar Sundaralingam; Yu-Wei Chao; Maya Cakmak; Dieter Fox (IEEE Robotics Autom. Lett., 2022)

Diagnosing and Repairing Feature Representations Under Distribution Shifts. - Inês Lourenço; Andreea Bobu; Cristian R. Rojas; Bo Wahlberg (CDC, 2023)

SIRL: Similarity-based Implicit Representation Learning. - Andreea Bobu; Yi Liu; Rohin Shah; Daniel S. Brown; Anca D. Dragan (HRI, 2023)

Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation. - Andi Peng; Aviv Netanyahu; Mark K. Ho; Tianmin Shu; Andreea Bobu; Julie Shah; Pulkit Agrawal 001 (ICML, 2023)

Aligning Robot and Human Representations. - Andreea Bobu; Andi Peng; Pulkit Agrawal 001; Julie Shah; Anca D. Dragan (CoRR, 2023)

Diagnosing and Augmenting Feature Representations in Correctional Inverse Reinforcement Learning. - Inês Lourenço; Andreea Bobu; Cristian R. Rojas; Bo Wahlberg (CoRR, 2023)

Getting aligned on representational alignment. - Ilia Sucholutsky; Lukas Muttenthaler; Adrian Weller; Andi Peng; Andreea Bobu; Been Kim; Bradley C. Love; Erin Grant; Jascha Achterberg; Joshua B. Tenenbaum; Katherine M. Collins; Katherine L. Hermann; et al. (CoRR, 2023)

Adaptive Language-Guided Abstraction from Contrastive Explanations. - Andi Peng; Belinda Z. Li; Ilia Sucholutsky; Nishanth Kumar; Julie Shah; Jacob Andreas; Andreea Bobu (CoRL, 2024)

Aligning Human and Robot Representations. - Andreea Bobu; Andi Peng; Pulkit Agrawal 001; Julie A. Shah; Anca D. Dragan (HRI, 2024)

Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI): Open-World Learning. - Bahar Irfan; Mariacarla Staffa; Andreea Bobu; Nikhil Churamani (HRI (Companion), 2024)

Preference-Conditioned Language-Guided Abstraction. - Andi Peng; Andreea Bobu; Belinda Z. Li; Theodore R. Sumers; Ilia Sucholutsky; Nishanth Kumar; Thomas L. Griffiths 001; Julie A. Shah (HRI, 2024)

Goal Inference from Open-Ended Dialog. - Rachel Ma; Jingyi Qu; Andreea Bobu; Dylan Hadfield-Menell (CoRR, 2024)

Learning How Hard to Think: Input-Adaptive Allocation of LM Computation. - Mehul Damani; Idan Shenfeld; Andi Peng; Andreea Bobu; Jacob Andreas (ICLR, 2025)

Context Matters: Learning Generalizable Rewards via Calibrated Features. - Alexandra Forsey-Smerek; Julie Shah; Andreea Bobu (CoRR, 2025)

Open-Universe Assistance Games. - Rachel Ma; Jingyi Qu; Andreea Bobu; Dylan Hadfield-Menell (CoRR, 2025)