Luke Guerdan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Learning Sciences

Measurement Errors

Causal Inferences

Top Venues

Publications

Jiaee Cheong, Nikhil Churamani, Luke Guerdan, Tabitha Edith Lee, Zhao Han, Hatice Gunes
Causal-HRI: Causal Learning for Human-Robot Interaction. HRI (Companion) (2024)
Luke Guerdan, Amanda Coston, Kenneth Holstein, Zhiwei Steven Wu
Predictive Performance Comparison of Decision Policies Under Confounding. CoRR (2024)
Anna Kawakami, Luke Guerdan, Yanghuidi Cheng, Kate Glazko, Matthew L. Lee, Scott A. Carter, Nikos Aréchiga, Haiyi Zhu, Kenneth Holstein
Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge. CI (2023)
Luke Guerdan, Amanda Coston, Zhiwei Steven Wu, Kenneth Holstein
Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making. CoRR (2023)
Luke Guerdan, Amanda Coston, Kenneth Holstein, Zhiwei Steven Wu
Counterfactual Prediction Under Outcome Measurement Error. FAccT (2023)
Luke Guerdan, Hatice Gunes
Federated Continual Learning for Socially Aware Robotics. RO-MAN (2023)
Luke Guerdan, Amanda Coston, Zhiwei Steven Wu, Kenneth Holstein
Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making. FAccT (2023)
Anna Kawakami, Luke Guerdan, Yanghuidi Cheng, Matthew L. Lee, Scott A. Carter, Nikos Aréchiga, Kate Glazko, Haiyi Zhu, Kenneth Holstein
Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge. CoRR (2023)
Luke Guerdan, Amanda Coston, Kenneth Holstein, Zhiwei Steven Wu
Counterfactual Prediction Under Outcome Measurement Error. CoRR (2023)
Luke Guerdan, Hatice Gunes
Decentralized Robot Learning for Personalization and Privacy. CoRR (2022)
Anna Kawakami, Luke Guerdan, Yang Cheng, Anita Sun, Alison Hu, Kate Glazko, Nikos Aréchiga, Matthew L. Lee, Scott A. Carter, Haiyi Zhu, Kenneth Holstein
Towards a Learner-Centered Explainable AI: Lessons from the learning sciences. CoRR (2022)
Luke Guerdan, Alex Raymond, Hatice Gunes
Toward Affective XAI: Facial Affect Analysis for Understanding Explainable Human-AI Interactions. ICCVW (2021)
Luke Guerdan, Alex Raymond, Hatice Gunes
Toward Affective XAI: Facial Affect Analysis for Understanding Explainable Human-AI Interactions. CoRR (2021)
Lukas Gehrke, Luke Guerdan, Klaus Gramann
Extracting Motion-Related Subspaces from EEG in Mobile Brain/Body Imaging Studies using Source Power Comodulation. NER (2019)