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2020 – today
- 2024
[c8]Jiaee Cheong
, Nikhil Churamani, Luke Guerdan, Tabitha Edith Lee, Zhao Han, Hatice Gunes:
Causal-HRI: Causal Learning for Human-Robot Interaction. HRI (Companion) 2024: 1311-1313- [c7]Luke Guerdan, Amanda Coston, Ken Holstein, Steven Wu:
Predictive Performance Comparison of Decision Policies Under Confounding. ICML 2024 - [i7]Luke Guerdan, Amanda Coston, Kenneth Holstein, Zhiwei Steven Wu:
Predictive Performance Comparison of Decision Policies Under Confounding. CoRR abs/2404.00848 (2024) - 2023
- [c6]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: 63-78 - [c5]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: 688-704 - [c4]Luke Guerdan, Amanda Coston, Kenneth Holstein, Zhiwei Steven Wu:
Counterfactual Prediction Under Outcome Measurement Error. FAccT 2023: 1584-1598 - [c3]Luke Guerdan, Hatice Gunes:
Federated Continual Learning for Socially Aware Robotics. RO-MAN 2023: 1522-1529 - [i6]Luke Guerdan, Amanda Coston, Zhiwei Steven Wu, Kenneth Holstein:
Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making. CoRR abs/2302.06503 (2023) - [i5]Luke Guerdan, Amanda Coston, Kenneth Holstein, Zhiwei Steven Wu:
Counterfactual Prediction Under Outcome Measurement Error. CoRR abs/2302.11121 (2023) - [i4]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 abs/2308.15700 (2023) - 2022
- [i3]Luke Guerdan, Hatice Gunes:
Decentralized Robot Learning for Personalization and Privacy. CoRR abs/2201.05527 (2022) - [i2]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 abs/2212.05588 (2022) - 2021
- [c2]Luke Guerdan, Alex Raymond, Hatice Gunes:
Toward Affective XAI: Facial Affect Analysis for Understanding Explainable Human-AI Interactions. ICCVW 2021: 3789-3798 - [i1]Luke Guerdan, Alex Raymond, Hatice Gunes:
Toward Affective XAI: Facial Affect Analysis for Understanding Explainable Human-AI Interactions. CoRR abs/2106.08761 (2021)
2010 – 2019
- 2019
- [c1]Lukas Gehrke, Luke Guerdan, Klaus Gramann:
Extracting Motion-Related Subspaces from EEG in Mobile Brain/Body Imaging Studies using Source Power Comodulation. NER 2019: 344-347
Coauthor Index
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