Extracting Motion-Related Subspaces from EEG in Mobile Brain/Body Imaging Studies using Source Power Comodulation. - Lukas Gehrke; Luke Guerdan; Klaus Gramann (NER, 2019)

Toward Affective XAI: Facial Affect Analysis for Understanding Explainable Human-AI Interactions. - Luke Guerdan; Alex Raymond; Hatice Gunes (ICCVW, 2021)

Decentralized Robot Learning for Personalization and Privacy. - Luke Guerdan; Hatice Gunes (CoRR, 2022)

Towards a Learner-Centered Explainable AI: Lessons from the learning sciences. - Anna Kawakami; Luke Guerdan; Yang Cheng; Anita Sun; Alison Hu; Kate Glazko; Nikos Aréchiga; Matthew L. Lee; Scott A. Carter; Haiyi Zhu; Kenneth Holstein (CoRR, 2022)

Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge. - Anna Kawakami; Luke Guerdan; Yanghuidi Cheng; Kate Glazko; Matthew L. Lee; Scott A. Carter; Nikos Aréchiga; Haiyi Zhu; Kenneth Holstein (CI, 2023)

Counterfactual Prediction Under Outcome Measurement Error. - Luke Guerdan; Amanda Coston; Kenneth Holstein; Zhiwei Steven Wu (FAccT, 2023)

Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making. - Luke Guerdan; Amanda Coston; Zhiwei Steven Wu; Kenneth Holstein (FAccT, 2023)

Federated Continual Learning for Socially Aware Robotics. - Luke Guerdan; Hatice Gunes (RO-MAN, 2023)

Causal-HRI: Causal Learning for Human-Robot Interaction. - Jiaee Cheong; Nikhil Churamani; Luke Guerdan; Tabitha Edith Lee; Zhao Han; Hatice Gunes (HRI (Companion), 2024)

Predictive Performance Comparison of Decision Policies Under Confounding. - Luke Guerdan; Amanda Coston; Ken Holstein; Steven Wu 001 (ICML, 2024)

A Framework for Evaluating LLMs Under Task Indeterminacy. - Luke Guerdan; Hanna M. Wallach; Solon Barocas; Alexandra Chouldechova (CoRR, 2024)

Validating LLM-as-a-Judge Systems in the Absence of Gold Labels. - Luke Guerdan; Solon Barocas; Kenneth Holstein; Hanna M. Wallach; Zhiwei Steven Wu; Alexandra Chouldechova (CoRR, 2025)

Measurement as Bricolage: Examining How Data Scientists Construct Target Variables for Predictive Modeling Tasks. - Luke Guerdan; Devansh Saxena; Stevie Chancellor; Zhiwei Steven Wu; Kenneth Holstein (CoRR, 2025)

Bridging Prediction and Intervention Problems in Social Systems. - Lydia T. Liu; Inioluwa Deborah Raji; Angela Zhou; Luke Guerdan; Jessica Hullman; Daniel Malinsky; Bryan Wilder; Simone Zhang; Hammaad Adam; Amanda Coston; Benjamin Laufer; Ezinne Nwankwo; et al. (CoRR, 2025)